Computer Science - 2019

Agrawal, A., Yang, X., Agrawal, R., Yedida, R., Shen, X., & Menzies, T. (2019). Simpler hyperparameter optimization for software analytics: Why, how, when? ArXiv. https://doi.org/10.48550/arxiv.1912.04061

Yedida, R., & Saha, S. (2019). LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. ArXiv. https://doi.org/10.48550/arxiv.1902.07399

Saha, S., Nagaraj, N., Mathur, A., & Yedida, R. (2019). Evolution of novel activation functions in neural network training with applications to classification of exoplanets. ArXiv. https://doi.org/10.48550/arxiv.1906.01975

Mohamed, R., O’Connor, T., Miettinen, M., Enck, W., & Sadeghi, A.-R. (2019). HONEYSCOPE: IoT device protection with deceptive network views. Autonomous Cyber Deception: Reasoning, Adaptive Planning, and Evaluation of HoneyThings, 167–181.

Andow, B., Mahmud, S. Y., Wang, W., Whitaker, J., Enck, W., Reaves, B., … Xie, T. (2019). PolicyLint: Investigating Internal Privacy Policy Contradictions on Google Play. USENIX Security Symposium, 585–602.

Busse, K., Fahl, S., Wermke, D., Zezschwitz, E., Amft, S., & Smith, M. (2019). Replication: Do We Snooze If We Can’t Lose? Modelling Risk with Incentives in Habituation User Studies. Workshop on Usable Security (USEC) 2019.

Gaweda, A. M., & Lynch, C. F. (2019). Giving Students Canned Code using Typing Exercises. Presented at the SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education. https://doi.org/10.1145/3287324.3293836

Gitinabard, N., Heckman, S., Barnes, T., & Lynch, C. F. (2019). What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. ArXiv Preprint ArXiv:1905.00928.

Presler-Marshall, K., Horton, E., Heckman, S., & Stolee, K. (2019). Wait, Wait. No, Tell Me. Analyzing Selenium Configuration Effects on Test Flakiness. 2019 IEEE/ACM 14th International Workshop on Automation of Software Test (AST), 7–13.

Zhang, J., Sherriff, M., Heckman, S., Cutter, P., & Monge, A. (2019). SIGCSE technical symposium 2020 call for submissions. ACM SIGCSE Bulletin, 51(3), 2–3.

Hawthorne, E. K., Pérez-Quiñones, M. A., Heckman, S., & Zhang, J. (2019). SIGCSE technical symposium 2019 report. ACM SIGCSE Bulletin, 51(2), 2–4.

Heckman, S., Fain, B., & Pérez-Quiñones, M. (2019). Building and expanding a successful undergraduate research program. Journal of Computing Sciences in Colleges, 35(4), 18–19.

Rouskas, G., & Verikoukis, C. (2019). Editorial. IEEE Networking Letters, 1(1), 1–1. https://doi.org/10.1109/LNET.2019.2897895

Xiong, H., Cheng, W., Bian, J., Hu, W., Sun, Z., & Guo, Z. (2019). <inline-formula> 
                     <tex-math notation="LaTeX">$\mathcal{DBSDA}$ </tex-math>
                  </inline-formula>: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. IEEE Transactions on Neural Networks and Learning Systems, 30(3), 707–717. https://doi.org/10.1109/tnnls.2018.2846783

Farhangi, A., Bian, J., Wang, J., & Guo, Z. (2019). Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems. Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS). https://doi.org/10.1109/rtss46320.2019.00066

Xiong, H., Wang, K., Bian, J., Zhu, Z., Xu, C.-Z., Guo, Z., & Huan, J. (2019). SpHMC: Spectral Hamiltonian Monte Carlo. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5516–5524. https://doi.org/10.1609/aaai.v33i01.33015516

Guo, Z., Bhuiyan, A., Liu, D., Khan, A., Saifullah, A., & Guan, N. (2019). Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. Presented at the 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). https://doi.org/10.1109/rtas.2019.00021

Wang, L., Yang, Y., Ding, D., Yin, Y., Guo, Z., & Wunsch, D. C. (2019). Model-Free Temporal Difference Learning for Non-Zero-Sum Games. Presented at the 2019 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.2019.8851866

Yang, K., & Guo, Z. (2019). EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness. Presented at the 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). https://doi.org/10.1109/rtcsa.2019.8864559

Bhuiyan, A., Sruti, S., Guo, Z., & Yang, K. (2019). Precise scheduling of mixed-criticality tasks by varying processor speed. Presented at the RTNS 2019: 27th International Conference on Real-Time Networks and Systems. https://doi.org/10.1145/3356401.3356410

Singh, J., Santinelli, L., Reghenzani, F., Bletsas, K., Doose, D., & Guo, Z. (2019). Mixed Criticality Scheduling of Probabilistic Real-Time Systems. https://doi.org/10.1007/978-3-030-35540-1_6

Bhuiyan, A. ahmed, Yang, K., Arefin, S., Saifullah, A., Guan, N., & Guo, Z. (2019). Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems. Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS). https://doi.org/10.1109/rtss46320.2019.00048

Li, L., Xiong, H., Guo, Z., Wang, J., & Xu, C.-Z. (2019). SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS). https://doi.org/10.1109/rtss46320.2019.00043

Bian, J., Wang, W., Zhang, X., Wang, W., Huang, A., & Guo, Z. (2019). On Generating Dominators of Customer Preferences. Presented at the 2019 IEEE International Conference on Big Data (Big Data). https://doi.org/10.1109/bigdata47090.2019.9006194

Zhao, M., Liu, D., Jiang, X., Liu, W., Xue, G., Xie, C., … Guo, Z. (2019). CASS: Criticality-Aware Standby-Sparing for real-time systems. Journal of Systems Architecture, 100, 101661. https://doi.org/10.1016/j.sysarc.2019.101661

He, Q., Jiang, X., Guan, N., & Guo, Z. (2019). Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-Cores. IEEE Transactions on Parallel and Distributed Systems, 30(10), 2283–2295. https://doi.org/10.1109/TPDS.2019.2910525

Yang, Y., Guo, Z., Xiong, H., Ding, D.-W., Yin, Y., & Wunsch, D. C. (2019). Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems, 30(12), 3735–3747. https://doi.org/10.1109/TNNLS.2019.2897814

Kaur Kuttal, S., Gerstner, K., & Bejarano, A. (2019). Remote Pair Programming in Online CS Education: Investigating through a Gender Lens. Presented at the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/vlhcc.2019.8818790

Liu, J., Zhang, C., Lorenzo, B., & Fang, Y. (2019). DPavatar: A real-time location protection framework for incumbent users in cognitive radio networks. IEEE Transactions on Mobile Computing, 19(3), 552–565.

Jiang, S., Liu, J., Wang, L., & Yoo, S.-M. (2019). Verifiable Search Meets Blockchain: A Privacy-Preserving Framework for Outsourced Encrypted Data. ICC 2019-2019 IEEE International Conference on Communications (ICC), 1–6.

Chen, Y., Xue, K., Qin, J., Wei, W., & Liu, J. (2019). Priority Service for Paying Content Providers through Dedicated Cache Leasing in Information-Centric Networking. 2019 2nd International Conference on Hot Information-Centric Networking (HotICN), 25–30.

Wang, Y., Xu, W., Liu, J., Pan, M., Zhang, P., & Lin, J. (2019). An Energy-Efficient Design for Mobile UAV Fire Surveillance Networks. ICC 2019-2019 IEEE International Conference on Communications (ICC), 1–6.

Qin, J., Xue, K., Chen, Y., Wei, W., Liu, J., & Yue, H. (2019). STNDN: Link Aware Segmented Transmission for Named Data Networking. 2019 2nd International Conference on Hot Information-Centric Networking (HotICN), 50–55.

He, P., Xue, K., Xu, J., Xia, Q., Liu, J., & Yue, H. (2019). Attribute-Based Accountable Access Control for Multimedia Content with In-Network Caching. 2019 IEEE International Conference on Multimedia and Expo (ICME), 778–783.

Feng, B., Zhang, C., Liu, J., & Fang, Y. (2019). Turning waste into wealth: Free control message transmissions in indoor WiFi networks. IEEE Transactions on Mobile Computing.

Pei, J., Hong, P., Pan, M., Liu, J., & Zhou, J. (2019). Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks. IEEE Journal on Selected Areas in Communications, 38(2), 263–278.

Yan, L., Ding, H., Zhang, L., Liu, J., Fang, X., Fang, Y., … Huang, X. (2019). Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks. IEEE Transactions on Wireless Communications, 18(10), 4873–4885.

Feng, B., Zhang, C., Liu, J., & Fang, Y. (2019). D2D Communications-Assisted Traffic Offloading in Integrated Cellular-WiFi Networks. IEEE Internet of Things Journal, 6(5), 8670–8680.

Li, J., Xue, K., Liu, J., Zhang, Y., & Fang, Y. (2019). An ICN/SDN-based network architecture and efficient content retrieval for future satellite-terrestrial integrated networks. IEEE Network, 34(1), 188–195.

Sarkar, S., Liu, J., & Jovanov, E. (2019). A Robust Algorithm for Sniffing BLE Long-Lived Connections in Real-time. 2019 IEEE Global Communications Conference (GLOBECOM), 1–6.

Xie, Y., Zhang, C., Wei, L., Niu, Y., Wang, F., & Liu, J. (2019). A Privacy-preserving Ethereum Lightweight Client Using PIR. 2019 IEEE/CIC International Conference on Communications in China (ICCC), 1006–1011.

Kloster, K., Poel, A., & Sullivan, B. D. (2019). Mining maximal induced bicliques using odd cycle transversals. SIAM International Conference on Data Mining, SDM 2019, 324–332. https://doi.org/10.1137/1.9781611975673.37

Lavallee, B., Russell, H., Sullivan, B. D., & Poel, A. (2019). Approximating vertex cover using structural rounding. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85094768942&partnerID=MN8TOARS

Zingle, G., Radhakrishnan, B., Xiao, Y., Gehringer, E., Xiao, Z., Pramudianto, F., … Arnav, A. (2019). Detecting suggestions in peer assessments. EDM 2019: 12th International Conference on Educational Data Mining, 474–479.

Hu, Z., Song, Y., & Gehringer, E. F. (2019). A Test-Driven Approach to Improving Student Contributions to Open-Source Projects. 2019 IEEE Frontiers in Education Conference (FIE). Presented at the 2019 IEEE Frontiers in Education Conference (FIE), Covington, KY. https://doi.org/10.1109/FIE43999.2019.9028521

Gehringer, E. F. (2019). PeerLogic: Web Services for Peer Assessment. 2019 ASEE Annual Conference & Exposition. Presented at the 2019 ASEE Annual Conference & Exposition, Tampa, FL. https://doi.org/10.18260/1-2--32388

Hu, Z., & Gehringer, E. F. (2019). Improving feedback on github pull requests: A bots approach. 2019 IEEE Frontiers in Education Conference (FIE), 1–9.

Afrati, F., & Chirkova, R. (2019). Answering queries using views. San Rafael, CA: Morgan & Claypool Publishers.

Battestilli, L., & Silverberg, L. (2019). CADApps:  MATLAB Apps for Core Courses in Aerospace and Mechanical Engineering Curricula. ASEE-SE Annual Conference. Retrieved from https://sites.asee.org/se/wp-content/uploads/sites/56/2021/04/2019ASEESE28.pdf

Shi, Y., Li, F., Song, W. Z., Li, X.-Y., & Ye, J. (2019). Energy audition based cyber-physical attack detection system in IoT. Proceedings of the ACM Turing Celebration Conference - China. https://doi.org/10.1145/3321408.3321588

Leeman-Munk, S. P., Sethi, S., Healey, C. G., Nie, S., Padia, K., Devarajan, R., … others. (2019). Visualizing convolutional neural networks.

Padia, K. (2019). Storyline Visualization Techniques for Linear, Non-Linear, and Diegetic Narratives. North Carolina State University.

Leeman-Munk, S. P., Sethi, S., Healey, C. G., Nie, S., Padia, K., Devarajan, R., … Lewis, L. E. (2019). Interactive visualizations for a recurrent neural network.

Battestilli, L., Silverberg, L., Eischen, J., & Thomas, C. (2019). CADApps: MATLAB Apps for Core Courses in Aerospace and Mechanical Engineering Curricula. Proceedings of the ASEE-SE 2019. Presented at the American Society for Engineering Education-Southeast 2019 Annual Conference, Raleigh, NC.

Fisk, S., Stolee, K. T., & Battestilli, L. (2019). A Lightweight Intervention to Decrease Gender Bias in Student Evaluations of Teaching (Full Version) (Technical Report No. TR-2019-9). Raleigh, NC: North Carolina State University.

Barnes, T., Payton, J., Battestilli, L., & Doman, M. (2019). STARS Computing Corps IGNITE Program. Proceedings of the Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) Conference 2019. Presented at the RESPECT Conference 2019 (ACM Technical Symposium on Computer Science Education (SIGCSE)), Minneapolis, MN.

Oh, C., Zheng, Z., Shen, X., Zhai, J., & Yi, Y. (2019). POSTER: GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU. PROCEEDINGS OF THE 24TH SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '19), pp. 431–432. https://doi.org/10.1145/3293883.3301494

Mott, B. W., Taylor, R. G., Lee, S. Y., Rowe, J. P., Saleh, A., Glazewski, K. D., … Lester, J. C. (2019). Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning. INTERACTIVE STORYTELLING, ICIDS 2019, Vol. 11869, pp. 86–100. https://doi.org/10.1007/978-3-030-33894-7_10

Striner, A., Azad, S., & Martens, C. (2019). A Spectrum of Audience Interactivity for Entertainment Domains. INTERACTIVE STORYTELLING, ICIDS 2019, Vol. 11869, pp. 214–232. https://doi.org/10.1007/978-3-030-33894-7_23

Mueller, F., Byrd, G., & Dreher, P. (2019). Programming Quantum Computers: A Primer with IBM Q and D-Wave Exercises. PROCEEDINGS OF THE 24TH SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '19), pp. 451–451. https://doi.org/10.1145/3293883.3302578

Martens, C., & Iqbal, O. (2019). Villanelle: An Authoring Tool for Autonomous Characters in Interactive Fiction. INTERACTIVE STORYTELLING, ICIDS 2019, Vol. 11869, pp. 290–303. https://doi.org/10.1007/978-3-030-33894-7_29

Zhao, Q., Qiu, Z., & Jin, G. (2019). Semantics-Aware Scheduling Policies for Synchronization Determinism. PROCEEDINGS OF THE 24TH SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING (PPOPP '19), pp. 242–256. https://doi.org/10.1145/3293883.3295731

Mao, Y., Zhi, R., Khoshnevisan, F., Price, T. W., Barnes, T., & Chi, M. (2019). One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. In C. F. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 12th International Conference on Educational Data Mining (pp. 119–128).

Shen, S., Shimmei, M., Chi, M., & Matsuda, N. (2019). Applications of Reinforcement Learning to Self-Improving Educational Systems. In A. M. Sinatra, A. C. Graesser, X. Hu, K. Brawner, & V. Rus (Eds.), Design Recommendations for Intelligent Tutoring Systems: Vol. 7: Self-Improving Systems (pp. 77–96). Orlando, FL: US Army Research Lab.

Stefik, A., Ladner, R. E., Allee, W., & Mealin, S. (2019). Computer Science Principles for Teachers of Blind and Visually Impaired Students. SIGCSE '19: PROCEEDINGS OF THE 50TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, pp. 766–772. https://doi.org/10.1145/3287324.3287453

Sullivan, B. D., Poel, A., & Woodlief, T. (2019). Faster Biclique Mining in Near-Bipartite Graphs. ANALYSIS OF EXPERIMENTAL ALGORITHMS, SEA2 2019, Vol. 11544, pp. 424–453. https://doi.org/10.1007/978-3-030-34029-2_28

Kafalı, Ö., Ajmeri, N., & Singh, M. P. (2019). DESEN: Specification of Sociotechnical Systems via Patterns of Regulation and Control. ACM Transactions on Software Engineering and Methodology (TOSEM), 29(1), 1–50. https://doi.org/10.1145/3365664

Günay, A., Chopra, A. K., & Singh, M. P. (2019). Supple: Multiagent Communication Protocols with Causal Types. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 781–789. Retrieved from https://eprints.lancs.ac.uk/id/eprint/131277/

Murukannaiah, P. K., Ajmeri, N., Rahman, M. F., & Singh, M. P. (2019, November 1). A Dataset of Crowdsourced Smarthome Requirements with Creativity Ratings. https://doi.org/10.5281/zenodo.3550721

Goyal, S., Ajmeri, N., & Singh, M. P. (2019). Applying norms and sanctions to promote cybersecurity hygiene. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 4, 1991–1993. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85077021008&partnerID=MN8TOARS

Demaine, E. D., Goodrich, T. D., Kloster, K., Lavallee, B., Liu, Q. C., Sullivan, B. D., … Poel, A. (2019). Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class. 27TH ANNUAL EUROPEAN SYMPOSIUM ON ALGORITHMS (ESA 2019), Vol. 144. https://doi.org/10.4230/LIPIcs.ESA.2019.37

Ford, D., Behroozi, M., Serebrenik, A., & Parnin, C. (2019). Beyond the Code Itself: How Programmers Really Look at Pull Requests. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN SOCIETY (ICSE-SEIS 2019), pp. 51–60. https://doi.org/10.1109/ICSE-SEIS.2019.00014

Sarpatwar, K., Ganapavarapu, V. S., Shanmugam, K., Rahman, A., & Vaculin, R. (2019). Blockchain Enabled AI Marketplace: The Price You Pay For Trust. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), pp. 2857–2866. https://doi.org/10.1109/CVPRW.2019.00345

Kang, H., Dai, T., Jean-Louis, N., Tao, S., & Gu, X. (2019). FabZK: Supporting Privacy-Preserving, Auditable Smart Contracts in Hyperledger Fabric. 2019 49TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN 2019), pp. 543–555. https://doi.org/10.1109/DSN.2019.00061

Pan, X., & Mueller, F. (2019). The Colored Refresh Server for DRAM. 2019 IEEE 40TH REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2019), pp. 146–153. https://doi.org/10.1109/RTSS46320.2019.00023

He, J., Dai, T., & Gu, X. (2019). TFix: Automatic Timeout Bug Fixing in Production Server Systems. 2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019), pp. 612–623. https://doi.org/10.1109/ICDCS.2019.00067

Whitaker, J., Prasad, S., Reaves, B., & Enck, W. (2019). Thou Shalt Discuss Security: Quantifying the Impacts of Instructions to RFC Authors. PROCEEDINGS OF THE 5TH ACM WORKSHOP ON SECURITY STANDARDISATION RESEARCH WORKSHOP (SSR '19), pp. 57–68. https://doi.org/10.1145/3338500.3360332

Wang, J., Yang, Y., Krishna, R., Menzies, T., & Wang, Q. (2019). iSENSE: Completion-Aware Crowdtesting Management. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 912–923. https://doi.org/10.1109/ICSE.2019.00097

Imtiaz, N., Middleton, J., Chakraborty, J., Robson, N., Bai, G., & Murphy-Hill, E. (2019). Investigating the Effects of Gender Bias on GitHub. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 700–711. https://doi.org/10.1109/ICSE.2019.00079

Horton, E., & Parnin, C. (2019). DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 328–338. https://doi.org/10.1109/ICSE.2019.00047

Rahman, A., Parnin, C., & Williams, L. (2019). The Seven Sins: Security Smells in Infrastructure as Code Scripts. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2019), pp. 164–175. https://doi.org/10.1109/ICSE.2019.00033

Mahdizadehaghdam, S., Panahi, A., & Krim, H. (2019). Sparse Generative Adversarial Network. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071. https://doi.org/10.1109/ICCVW.2019.00369

Harmon, S., Maxwell, R., & Jhala, A. (2019). Operationalizing Conflict Strategies in a Board Game. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'19). https://doi.org/10.1145/3337722.3342235

Robertson, J., Jhala, A., & Young, R. M. (2019). Efficient Choice Enumeration for Narrative World Design. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'19). https://doi.org/10.1145/3337722.3337736

Miller, C., Dighe, M., Martens, C., & Jhala, A. (2019). Stories of the Town: Balancing Character Autonomy and Coherent Narrative in Procedurally Generated Worlds. PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES (FDG'19). https://doi.org/10.1145/3337722.3341850

Zhi, R., Marwan, S., Dong, Y., Lytle, N., Price, T. W., & Barnes, T. (2019). Toward Data-Driven Example Feedback for Novice Programming. Proceedings of the 12th International Conference on Educational Data Mining, 218–227.

Christensen, J., Bae, J., Watson, B., Talamadupula, K., Spjut, J., & Joines, S. (2019). UIBK: User Interactions for Building Knowledge. PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES: COMPANION (IUI 2019), pp. 131–132. https://doi.org/10.1145/3308557.3313122

Gholkar, N., Mueller, F., & Rountree, B. (2019). Uncore Power Scavenger: A Runtime for Uncore Power Conservation on HPC Systems. PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS. https://doi.org/10.1145/3295500.3356150

Imtiaz, N., Murphy, B., & Williams, L. (2019). How Do Developers Act on Static Analysis Alerts? An Empirical Study of Coverity Usage. 2019 IEEE 30TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING (ISSRE), pp. 323–333. https://doi.org/10.1109/ISSRE.2019.00040

Horton, E., & Parnin, C. (2019). V2: Fast Detection of Configuration Drift in Python. 34TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2019), pp. 477–488. https://doi.org/10.1109/ASE.2019.00052

Spain, R., Geden, M., Min, W., Mott, B., & Lester, J. (2019). Toward computational models of team effectiveness with natural language processing. CEUR Workshop Proceedings, 2501, 30–39. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85075911853&partnerID=MN8TOARS

Park, K., Mott, B. W., Min, W., Boyer, K. E., Wiebe, E. N., & Lester, J. C. (2019). Generating educational game levels with multistep deep convolutional generative adversarial networks. IEEE Conference on Computatonal Intelligence and Games, CIG, 2019-August. https://doi.org/10.1109/CIG.2019.8848085

Lytle, N., Dong, Y., Catete, V., Milliken, A., Isvik, A., & Barnes, T. (2019). Position: Scaffolded Coding Activities Afforded by Block-Based Environments. Proceedings of the 2019 IEEE Blocks and Beyond Workshop (B&B), 5–7. https://doi.org/10.1109/bb48857.2019.8941203

Jocius, R., Albert, J., Andrews, A., Catete, V., Dong, Y., Joshi, D., … Lytle, N. (2019). Infusing Computing Through Professional Development: Shifts in Content Area Teachers' Understandings of Computational Thinking Integration. Proceedings of Society for Information Technology & Teacher Education International Conference, 302–305. Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE).

Lytle, N., Catete, V., Isvik, A., Boulden, D., Dong, Y., Wiebe, E., & Barnes, T. (2019). From 'Use' to 'Choose': Scaffolding CT Curricula and Exploring Student Choices while Programming (Practical Report). Proceedings of the 14th Workshop in Primary and Secondary Computing Education, 18. https://doi.org/10.1145/3361721.3362110

Wiebe, E., Boulden, D., Catete, V., Barnes, T., Freeman, S., Frye, D., … Rorrer, A. S. (2019). Developing a Systemic, Scalable Model to Broaden Participation in Middle School Computer Science. 2019 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1–2. https://doi.org/10.1109/respect46404.2019.8985931

Semantic query transformations for increased parallelization in distributed knowledge graph query processing. (2019). Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1145/3295500.3356212

Evaluating Generalized Path Queries by Integrating Algebraic Path Problem Solving with Graph Pattern Matching. (2019). In Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-33220-4_8

Azizsoltani, H., Ramon Gaxiola-Camacho, J., Villegas-Mercado, F. J., & Haldar, A. (2019, May 1). Discussion of "State-of-the-Art Review on Seismic Design of Steel Structures" by Chia-Ming Uang and Michel Bruneau. JOURNAL OF STRUCTURAL ENGINEERING, Vol. 145. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002312

Jiang, J., Eades, H., III, & Paiva, V. (2019). On the Lambek Calculus with an Exchange Modality. ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, pp. 43–89. https://doi.org/10.4204/EPTCS.292.4

Min, W., Frankosky, M., Mott, B. W., Rowe, J., Smith, P. A. M., Wiebe, E., … Lester, J. (2019). DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks. IEEE Transactions on Learning Technologies. https://doi.org/10.1109/tlt.2019.2922356

Matam, K. K., Koo, G., Zha, H., Tseng, H.-W., & Annavaram, M. (2019). GraphSSD: Graph Semantics Aware SSD. PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19), pp. 116–128. https://doi.org/10.1145/3307650.3322275

Rahman, M. R., Rahman, A., & Williams, L. (2019). Share, But Be Aware: Security Smells in Python Gists. 2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019), pp. 536–540. https://doi.org/10.1109/ICSME.2019.00087

Wang, T., Yu, X., Qiu, Z., Jin, G., & Mueller, F. (2019). BARRIERFINDER: Recognizing Ad Hoc Barriers. 2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019), pp. 323–327. https://doi.org/10.1109/ICSME.2019.00049

Lytle, N. (2019). Towards Data-Driven Programming Problem Generation for Mastery Learning. ICER '19 - PROCEEDINGS OF THE 2019 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH, pp. 339–340. https://doi.org/10.1145/3291279.3339447

Hu, Y.-C., Lokhandwala, M. T., Te, I., & Tseng, H.-W. (2019). Dynamic Multi-Resolution Data Storage. MICRO'52: THE 52ND ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, pp. 196–210. https://doi.org/10.1145/3352460.3358282

Jueckstock, J., & Kapravelos, A. (2019). VisibleV8: In-browser Monitoring of JavaScript in the Wild. IMC'19: PROCEEDINGS OF THE 2019 ACM INTERNET MEASUREMENT CONFERENCE, pp. 393–405. https://doi.org/10.1145/3355369.3355599

Dyer, T., Altuntas, A., & Baugh, J. (2019). Bounded Verification of Sparse Matrix Computations. 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 36–43. https://doi.org/10.1109/correctness49594.2019.00010

P4PCN: Privacy-Preserving Path Probing for Payment Channel Networks. (2019). 2019 IEEE Global Communications Conference (GLOBECOM). https://doi.org/10.1109/globecom38437.2019.9014080

Load Balancing for Interdependent IoT Microservices. (2019). IEEE INFOCOM 2019 - IEEE Conference on Computer Communications. https://doi.org/10.1109/infocom.2019.8737450

Akbulut, A., & Perros, H. G. (2019). Performance Analysis of Microservice Design Patterns. IEEE INTERNET COMPUTING, 23(6), 19–27. https://doi.org/10.1109/MIC.2019.2951094

Patil, O., Ionkov, L., Lee, J., Mueller, F., & Lang, M. (2019). Performance characterization of a DRAM-NVM hybrid memory architecture for HPC applications using intel optane DC persistent memory modules. Proceedings of the International Symposium on Memory Systems  - MEMSYS '19. Presented at the the International Symposium. https://doi.org/10.1145/3357526.3357541

Rodriguez, F. J., Smith, C. R., Smith, A., Boyer, K. E., Wiebe, E. N., Mott, B. W., & Lester, J. C. (2019). Toward a Responsive Interface to Support Novices in Block-Based Programming. Proceedings - 2019 IEEE Blocks and Beyond Workshop, B and B 2019, 9–13. https://doi.org/10.1109/BB48857.2019.8941205

Taylor, S., Min, W., Mott, B., Emerson, A., Smith, A., Wiebe, E., & Lester, J. (2019). Position: IntelliBlox: A Toolkit for Integrating Block-Based Programming into Game-Based Learning Environments. Proceedings - 2019 IEEE Blocks and Beyond Workshop, B and B 2019, 55–58. https://doi.org/10.1109/BB48857.2019.8941222

Lester, J. C., Boyer, K. E., Wiebe, E. N., Mott, B., & Smith, A. (2019). Prime: Engaging STEM undergraduates in computer science with intelligent tutoring systems. ASEE Annual Conference and Exposition, Conference Proceedings. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85078800967&partnerID=MN8TOARS

Matsuda, N., & Shimmei, M. (2019). PASTEL: Evidence-based learning engineering method to create intelligent online textbook at scale. CEUR Workshop Proceedings, 2384, 70–80. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85067813785&partnerID=MN8TOARS

Guan, H., Ning, L., Lin, Z., Shen, X., Zhou, H., & Lim, S.-H. (2019). In-Place Zero-Space Memory Protection for CNN. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems Proceedings.

Zheng, Z., Oh, C., Zhai, J., Shen, X., Yi, Y., & Chen, W. (2019). HiWayLib. Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS '19. Presented at the the Twenty-Fourth International Conference. https://doi.org/10.1145/3297858.3304032

Guan, H., Shen, X., & Lim, S.-H. (2019). Wootz: a compiler-based framework for fast CNN pruning via composability. Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation  - PLDI 2019. Presented at the the 40th ACM SIGPLAN Conference. https://doi.org/10.1145/3314221.3314652

Li, X., Zhang, L., & Shen, X. (2019). IA-graph based inter-app conflicts detection in open IoT systems. Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems  - LCTES 2019. Presented at the the 20th ACM SIGPLAN/SIGBED International Conference. https://doi.org/10.1145/3316482.3326350

Ning, L., & Shen, X. (2019). Deep reuse. Proceedings of the ACM International Conference on Supercomputing  - ICS '19. Presented at the the ACM International Conference. https://doi.org/10.1145/3330345.3330384

Yang, S., Shen, X., & Chi, M. (2019). Streamline Density Peak Clustering for Practical Adoptions. Proceedings of the 28th ACM International Conference on Information and Knowledge Management  - CIKM '19. Presented at the the 28th ACM International Conference. https://doi.org/10.1145/3357384.3358053

Agrawal, A., Fu, W., Chen, D., Shen, X., & Menzies, T. (2019). How to "DODGE" Complex Software Analytics. IEEE Transactions on Software Engineering, 1–1. https://doi.org/10.1109/tse.2019.2945020

Using Bloom's Taxonomy to Write Effective Programming Questions for Autograding Tools. (2019). Proceedings of the 50th ACM Technical Symposium on Computer Science Education  - SIGCSE '19. https://doi.org/10.1145/3287324.3293858

Marwan, S., Lytle, N., Williams, J. J., & Price, T. (2019). The Impact of Adding Textual Explanations to Next-Step Hints in a Novice Programming Environment. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 520–526. https://doi.org/10.1145/3304221.3319759

Marwan, S., Jay Williams, J., & Price, T. (2019). An Evaluation of the Impact of Automated Programming Hints on Performance and Learning. Proceedings of the 2019 ACM Conference on International Computing Education Research, 61–70. https://doi.org/10.1145/3291279.3339420

Al-Shaer, E., Wei, J., Hamlen, K. W., & Wang, C. (2019). Modeling and Analysis of Deception Games Based on Hypergame Theory. In Autonomous Cyber Deception (pp. 49–74). https://doi.org/10.1007/978-3-030-02110-8_4

Singh, M. P., & Chopra, A. K. (2019). Requirements Engineering as Science in the Small. 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER). Presented at the 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER). https://doi.org/10.1109/icse-nier.2019.00020

Guo, H., Kafalı, Ö., Jeukeng, A.-L., Williams, L., & Singh, M. P. (2019). Çorba: crowdsourcing to obtain requirements from regulations and breaches. Empirical Software Engineering, 8. https://doi.org/10.1007/s10664-019-09753-2

Zhang, Z., & Singh, M. (2019). Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Presented at the Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). https://doi.org/10.18653/v1/d19-1555

Yang, T., Zhang, H., Wang, H., Shahzad, M., Liu, X., Xin, Q., & Li, X. (2019). FID-sketch: an accurate sketch to store frequencies in data streams. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 22(6), 2675–2696. https://doi.org/10.1007/s11280-018-0546-5

Johnson, B., Fancher, C. M., Hou, D., & Jones, J. L. (2019). Structure of HfO2 modified with Y, Gd, and Zr at ambient conditions and high pressures. JOURNAL OF APPLIED PHYSICS, 126(20). https://doi.org/10.1063/1.5121024

Geden, M., Smith, A., Campbell, J., Spain, R., Amos-Binks, A., Mott, B. W., … Lester, J. (2019). Construction and Validation of an Anticipatory Thinking Assessment. FRONTIERS IN PSYCHOLOGY, 10. https://doi.org/10.3389/fpsyg.2019.02749

Menzies, T. (2019). Take Control (On the Unreasonable Effectiveness of Software Analytics). 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2019), pp. 265–266. https://doi.org/10.1109/ICSE-SEIP.2019.00037

Eghbali, S., Kudva, V., Rothermel, G., & Tahvildari, L. (2019). Supervised Tie Breaking in Test Case Prioritization. 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2019), pp. 242–243. https://doi.org/10.1109/ICSE-Companion.2019.00095

Beggs, A., & Kapravelos, A. (2019). Wild Extensions: Discovering and Analyzing Unlisted Chrome Extensions. DETECTION OF INTRUSIONS AND MALWARE, AND VULNERABILITY ASSESSMENT (DIMVA 2019), Vol. 11543, pp. 3–22. https://doi.org/10.1007/978-3-030-22038-9_1

Tunde-Onadele, O., He, J., Dai, T., & Gu, X. (2019). A Study on Container Vulnerability Exploit Detection. 2019 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E), pp. 121–127. https://doi.org/10.1109/IC2E.2019.00026

Jin, H., Shen, X., Lovas, R., & Liao, X. (2019). Special Issue: Graph Computing. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. https://doi.org/10.1002/cpe.5452

Dumas, J.-G., Kaltofen, E., Lucas, D., & Pernet, C. (2019). Elimination-based certificates for triangular equivalence and rank profiles. JOURNAL OF SYMBOLIC COMPUTATION, Vol. 98, pp. 246–269. https://doi.org/10.1016/j.jsc.2019.07.013

Saleh, A., Hmelo-Silver, C. E., Glazewski, K. D., Mott, B., Chen, Y., Rowe, J. P., & Lester, J. C. (2019). Collaborative inquiry play A design case to frame integration of collaborative problem solving with story-centric games. INFORMATION AND LEARNING SCIENCES, 120(9/10), 547–566. https://doi.org/10.1108/ILS-03-2019-0024

Yu, R., Xue, G., & Zhang, X. (2019). Provisioning QoS-Aware and Robust Applications in Internet of Things: A Network Perspective. IEEE/ACM Transactions on Networking, 27(5), 1931–1944. https://doi.org/10.1109/TNET.2019.2936015

Milliken, A., Cody, C., Catete, V., & Barnes, T. (2019). Effective Computer Science Teacher Professional Development. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education  - ITiCSE '19, 271–277. https://doi.org/10.1145/3304221.3319779

Dong, Y., Andrews, A., Cateté, V., Lytle, N., Isvik, A., Barnes, T., … Robinson, R. (2019). Infusing Computing. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education  - ITiCSE '19, 278–284. https://doi.org/10.1145/3304221.3319772

Lytle, N., Barnes, T., Cateté, V., Boulden, D., Dong, Y., Houchins, J., … Wiebe, E. (2019). Use, Modify, Create. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education  - ITiCSE '19, 395–401. https://doi.org/10.1145/3304221.3319786

Zhi, R., Chi, M., Barnes, T., & Price, T. W. (2019). Evaluating the Effectiveness of Parsons Problems for Block-based Programming. Proceedings of the 2019 ACM Conference on International Computing Education Research  - ICER '19, 51–59. https://doi.org/10.1145/3291279.3339419

Dong, Y., Marwan, S., Catete, V., Price, T., & Barnes, T. (2019). Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. Proceedings of the 50th ACM Technical Symposium on Computer Science Education  - SIGCSE '19, 1204–1210. https://doi.org/10.1145/3287324.3287437

Dong, Y., Catete, V., Jocius, R., Lytle, N., Barnes, T., Albert, J., … Andrews, A. (2019). PRADA. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19, 906–912. https://doi.org/10.1145/3287324.3287431

Lytle, N., Floryan, M., & Barnes, T. (2019). Effects of a Pathfinding Program Visualization on Algorithm Development. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium. https://doi.org/10.1145/3287324.3287391

Kuttal, S. K., Sarma, A., Burnett, M., Rothermel, G., Koeppe, I., & Shepherd, B. (2019). How end-user programmers debug visual web-based programs: An information foraging theory perspective. Journal of Computer Languages, 53, 22–37. https://doi.org/10.1016/j.cola.2019.04.003

Krishna, R., & Menzies, T. (2019). Bellwethers: A Baseline Method for Transfer Learning. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(11), 1081–1105. https://doi.org/10.1109/TSE.2018.2821670

Henderson, N. L., Rowe, J. P., Mott, B. W., Brawner, K., Baker, R., & Lester, J. C. (2019). 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 144–156. https://doi.org/10.1007/978-3-030-23204-7_13

Min, W., Park, K., Wiggins, J., Mott, B., Wiebe, E., Boyer, K. E., & Lester, J. (2019). Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 195–200. https://doi.org/10.1007/978-3-030-23207-8_37

Cloude, E. B., Taub, M., Lester, J., & Azevedo, R. (2019). The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 36–40. https://doi.org/10.1007/978-3-030-23207-8_7

Wiggins, J. B., Kulkarni, M., Min, W., Boyer, K. E., Mott, B., Wiebe, E., & Lester, J. (2019). Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 314–318. https://doi.org/10.1007/978-3-030-23207-8_58

Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2019). Hierarchical Reinforcement Learning for Pedagogical Policy Induction. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556. https://doi.org/10.1007/978-3-030-23204-7_45

Shimmei, M., & Matsuda, N. (2019). Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 369–373. https://doi.org/10.1007/978-3-030-23207-8_68

Zhang, C., Joshi, H. P., Riley, G. F., & Wright, S. A. (2019). [Review of Towards a virtual network function research agenda: A systematic literature review of VNF design considerations]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 146. https://doi.org/10.1016/j.jnca.2019.102417

Khetawat, H., Atrey, A., Li, G., Mueller, F., & Pakin, S. (2019). Implementing NChooseK on IBM Q Quantum Computer Systems. REVERSIBLE COMPUTATION (RC 2019), Vol. 11497, pp. 209–223. https://doi.org/10.1007/978-3-030-21500-2_13

Regan, M., Eastwood, B., Nagabhiru, M., & Mueller, F. (2019). Automatically Translating Quantum Programs from a Subset of Common Gates to an Adiabatic Representation. REVERSIBLE COMPUTATION (RC 2019), Vol. 11497, pp. 146–161. https://doi.org/10.1007/978-3-030-21500-2_9

Rezaei, A., Khetawat, H., Patil, O., Mueller, F., Hargrove, P., & Roman, E. (2019). End-to-End Resilience for HPC Applications. HIGH PERFORMANCE COMPUTING, ISC HIGH PERFORMANCE 2019, Vol. 11501, pp. 271–290. https://doi.org/10.1007/978-3-030-20656-7_14

Pan, X., & Mueller, F. (2019). The Colored Refresh Server for DRAM. 2019 IEEE 22ND INTERNATIONAL SYMPOSIUM ON REAL-TIME DISTRIBUTED COMPUTING (ISORC 2019), pp. 27–34. https://doi.org/10.1109/ISORC.2019.00015

Wimberley, C. E., & Heber, S. (2019). PeakPass: Automating ChIP-Seq Blacklist Creation. BIOINFORMATICS RESEARCH AND APPLICATIONS, ISBRA 2019, Vol. 11490, pp. 232–243. https://doi.org/10.1007/978-3-030-20242-2_20

Sheshadri, K., & Singh, M. P. (2019). The public and legislative impact of hyperconcentrated topic news. SCIENCE ADVANCES, 5(8). https://doi.org/10.1126/sciadv.aat8296

Sholler, D., Steinmacher, I., Ford, D., Averick, M., Hoye, M., & Wilson, G. (2019). Ten simple rules for helping newcomers become contributors to open projects. PLOS COMPUTATIONAL BIOLOGY, 15(9). https://doi.org/10.1371/journal.pcbi.1007296

Wang, T., Jain, N., Beckingsale, D., Boehme, D., Mueller, F., & Gamblin, T. (2019). FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. PROCEEDINGS OF THE 48TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP 2019). https://doi.org/10.1145/3337821.3337842

Smith, J., Johnson, B., Murphy-Hill, E., Chu, B., & Lipford, H. R. (2019). How Developers Diagnose Potential Security Vulnerabilities with a Static Analysis Tool. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(9), 877–897. https://doi.org/10.1109/TSE.2018.2810116

Yu, Z., Fahid, F., Menzies, T., Rothermel, G., Patrick, K., & Cherian, S. (2019). TERMINATOR: Better Automated UI Test Case Prioritization. ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 883–894. https://doi.org/10.1145/3338906.3340448

Chen, J., Chakraborty, J., Clark, P., Haverlock, K., Cherian, S., & Menzies, T. (2019). Predicting Breakdowns in Cloud Services (with SPIKE). ESEC/FSE'2019: PROCEEDINGS OF THE 2019 27TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 916–924. https://doi.org/10.1145/3338906.3340450

Pearson, C. J., Geden, M., & Mayhorn, C. B. (2019). Who's the real expert here? Pedigree's unique bias on trust between human and automated advisers. APPLIED ERGONOMICS, 81. https://doi.org/10.1016/j.apergo.2019.102907

Starov, O., Laperdrix, P., Kapravelos, A., & Nikiforakis, N. (2019). Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat. WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), pp. 3244–3250. https://doi.org/10.1145/3308558.3313458

Kalia, A. K., Ajmeri, N., Chan, K. S., Cho, J.-H., Adalı, S., & Singh, M. P. (2019). The Interplay of Emotions and Norms in Multiagent Systems. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019-August, 371–377. https://doi.org/10.24963/ijcai.2019/53

Sim, H., Paul, A. K., Tilevich, E., Butt, A. R., & Shahzad, M. (2019). CSLIM: Automated Extraction of loT Functionalities from Legacy C Codebases. ICDCN '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING, pp. 421–426. https://doi.org/10.1145/3288599.3296013

Telang, P. R., Singh, M. P., & Yorke-Smith, N. (2019). A Coupled Operational Semantics for Goals and Commitments. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 65, 31–85. https://doi.org/10.1613/jair.1.11494

Li, F., Shinde, A., Shi, Y., Ye, J., Li, X.-Y., & Song, W. (2019). System Statistics Learning-Based IoT Security: Feasibility and Suitability. IEEE Internet of Things Journal, 6(4), 6396–6403. https://doi.org/10.1109/jiot.2019.2897063

Li, F., Shi, Y., Shinde, A., Ye, J., & Song, W. (2019). Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing. IEEE Internet of Things Journal, 6(3), 5224–5231. https://doi.org/10.1109/JIOT.2019.2899492

Mahdizadehaghdam, S., Panahi, A., Krim, H., & Dai, L. (2019). Deep Dictionary Learning: A PARametric NETwork Approach. IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802. https://doi.org/10.1109/TIP.2019.2914376

Kozik, P., Tateosian, L. G., Healey, C. G., & Enns, J. T. (2019). Impressionism-Inspired Data Visualizations Are Both Functional and Liked. PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 13(3), 266–276. https://doi.org/10.1037/aca0000175

OConnor, T. J., Mohamed, R., Miettinen, M., Enck, W., Reaves, B., & Sadeghi, A.-R. (2019). HOMESNITCH: Behavior Transparency and Control for Smart Home IoT Devices. PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19), pp. 128–139. https://doi.org/10.1145/3317549.3323409

OConnor, T. J., Enck, W., & Reaves, B. (2019). Blinded and Confused: Uncovering Systemic Flaws in Device Telemetry for Smart-Home Internet of Things. PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19), pp. 140–150. https://doi.org/10.1145/3317549.3319724

Goutam, S., Enck, W., & Reaves, B. (2019). Hestia: Simple Least Privilege Network Policies for Smart Homes. PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19), pp. 215–220. https://doi.org/10.1145/3317549.3323413

Gorski, S. A., III, & Enck, W. (2019). ARF: Identifying Re-Delegation Vulnerabilities in Android System Services. PROCEEDINGS OF THE 2019 CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC '19), pp. 151–162. https://doi.org/10.1145/3317549.3319725

Ning, L., Guan, H., & Shen, X. (2019). Adaptive Deep Reuse: Accelerating CNN Training on the Fly. 2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), pp. 1538–1549. https://doi.org/10.1109/ICDE.2019.00138

Choetkiertikul, M., Dam, H. K., Tran, T., Pham, T., Ghose, A., & Menzies, T. (2019). A Deep Learning Model for Estimating Story Points. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(7), 637–656. https://doi.org/10.1109/TSE.2018.2792473

Qi, Y., & Sichitiu, M. L. (2019). Physical Layer Performance of a Cooperative Amplify and Forward Scheme for MIMO WLANs. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 68(7), 6709–6720. https://doi.org/10.1109/TVT.2019.2916375

Enck, W., & Benzel, T. (2019). Selected Papers From the 2018 USENIX Security Symposium. IEEE SECURITY & PRIVACY, Vol. 17, pp. 7–8. https://doi.org/10.1109/MSEC.2019.2915397

Peddycord-Liu, Z., Catete, V., Vandenberg, J., Barnes, T., Lynch, C. F., & Rutherford, T. (2019). A Field Study of Teachers Using a Curriculum-integrated Digital Game. CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. https://doi.org/10.1145/3290605.3300658

Lytle, N., Catete, V., Dong, Y., Boulden, D., Akram, B., Houchins, J., … Wiebe, E. (2019). CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students. PROCEEDINGS OF THE ACM CONFERENCE ON GLOBAL COMPUTING EDUCATION (COMPED '19), pp. 58–64. https://doi.org/10.1145/3300115.3309527

Giesbrecht, M., Haraldson, J., & Kaltofen, E. (2019). Computing Approximate Greatest Common Right Divisors of Differential Polynomials. Foundations of Computational Mathematics. https://doi.org/10.1007/s10208-019-09422-2

Kampe, C., Reid, G., Jones, P., Colleen, S., Sean, S., & Vogel, K. M. (2019). Bringing the National Security Agency into the Classroom: Ethical Reflections on Academia-Intelligence Agency Partnerships. SCIENCE AND ENGINEERING ETHICS, 25(3), 869–898. https://doi.org/10.1007/s11948-017-9938-7

Gorski, S. A., III, Andow, B., Nadkarni, A., Manandhar, S., Enck, W., Bodden, E., & Bartel, A. (2019). ACMiner: Extraction and Analysis of Authorization Checks in Android's Middleware. PROCEEDINGS OF THE NINTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY '19), pp. 25–36. https://doi.org/10.1145/3292006.3300023

Gitinabard, N., Xu, Y., Heckman, S., Barnes, T., & Lynch, C. F. (2019). How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 12(2), 184–197. https://doi.org/10.1109/TLT.2019.2911832

Chen, J., Nair, V., Krishna, R., & Menzies, T. (2019). "Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(6), 597–614. https://doi.org/10.1109/TSE.2018.2790925

Perkins, P., Mazzoni-Putman, S., Stepanova, A., Alonso, J., & Heber, S. (2019, June 6). RiboStreamR: a web application for quality control, analysis, and visualization of Ribo-seq data. BMC GENOMICS, Vol. 20. https://doi.org/10.1186/s12864-019-5700-7

Nguyen, N. T., Lee, K., & Dai, H. (2019). QR-Decomposition-Aided Tabu Search Detection for Large MIMO Systems. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 68(5), 4857–4870. https://doi.org/10.1109/TVT.2019.2905642

Menzies, T., & Shepperd, M. (2019). "Bad smells" in software analytics papers. INFORMATION AND SOFTWARE TECHNOLOGY, 112, 35–47. https://doi.org/10.1016/j.infsof.2019.04.005

Rahman, A., & Williams, L. (2019). Source code properties of defective infrastructure as code scripts. INFORMATION AND SOFTWARE TECHNOLOGY, 112, 148–163. https://doi.org/10.1016/j.infsof.2019.04.013

Xiong, Y., Yang, Y., Ye, Y., & Rouskas, G. N. (2019). A machine learning approach to mitigating fragmentation and crosstalk in space division multiplexing elastic optical networks. OPTICAL FIBER TECHNOLOGY, 50, 99–107. https://doi.org/10.1016/j.yofte.2019.03.001

Demaine, E. D., Reidl, F., Rossmanith, P., Villaamil, F. S., Sikdar, S., & Sullivan, B. D. (2019). Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs. Journal of Computer and System Sciences, 105, 199–241. https://doi.org/10.1016/j.jcss.2019.05.004

Price, T. W., Dong, Y., Zhi, R., Paaßen, B., Lytle, N., Cateté, V., & Barnes, T. (2019). A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. International Journal of Artificial Intelligence in Education, 29(3), 368–395. https://doi.org/10.1007/s40593-019-00177-z

Zhi, R., Price, T. W., Marwan, S., Milliken, A., Barnes, T., & Chi, M. (2019). Exploring the Impact of Worked Examples in a Novice Programming Environment. Proceedings of the 50th ACM Technical Symposium on Computer Science Education  - SIGCSE '19, 98–104. https://doi.org/10.1145/3287324.3287385

Wang, J., Li, M., Wang, S., Menzies, T., & Wang, Q. (2019). Images don't lie: Duplicate crowdtesting reports detection with screenshot information. INFORMATION AND SOFTWARE TECHNOLOGY, 110, 139–155. https://doi.org/10.1016/j.infsof.2019.03.003

Smith, A., Leeman-Munk, S., Shelton, A., Mott, B., Wiebe, E., & Lester, J. (2019). A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 12(1), 3–15. https://doi.org/10.1109/TLT.2018.2799871

Song, Y., Gehringer, E. F., & Hu, Z. (2019). Sharing educational data. In Y. I. Daradkeh & P. M. Korolev (Eds.), Data Sharing: Recent Progress and Remaining Challenges (pp. 1–28). New York: Nova Science Publishers.

Weldon, R. A., Jr., Mueller, J. M., Lynch, C., Schuster, P., Hedges, S., Awe, C., … Mattingly, J. (2019). High-precision characterization of the neutron light output of stilbene along the directions of maximum and minimum response. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 927, 313–319. https://doi.org/10.1016/j.nima.2018.10.075

Bouterse, B., & Perros, H. (2019). Performance analysis of the reserve capacity policy for dynamic VM allocation in a SaaS environment. SIMULATION MODELLING PRACTICE AND THEORY, 93, 293–304. https://doi.org/10.1016/j.simpat.2018.07.002

Ramachandra, B., Dutton, B., & Vatsavai, R. R. (2019). Anomalous cluster detection in spatiotemporal meteorological fields. STATISTICAL ANALYSIS AND DATA MINING, 12(2), 88–100. https://doi.org/10.1002/sam.11398

Summerville, A., Martens, C., Harmon, S., Mateas, M., Osborn, J., Wardrip-Fruin, N., & Jhala, A. (2019). From Mechanics to Meaning. IEEE TRANSACTIONS ON GAMES, 11(1), 69–78. https://doi.org/10.1109/TCIAIG.2017.2765599

Robertson, J., & Young, R. M. (2019). Perceptual Experience Management. IEEE TRANSACTIONS ON GAMES, 11(1), 15–24. https://doi.org/10.1109/TG.2018.2817162

Washington, N., Barnes, T., Payton, J., Dunton, S., Stukes, F., & Peterfreund, A. (2019). RESPECT 2019: Yes, We Still Need to Talk About Diversity in Computing. COMPUTING IN SCIENCE & ENGINEERING, Vol. 21, pp. 79–83. https://doi.org/10.1109/MCSE.2018.2887008

Rahman, A., Mandavi-Hezaveh, R., & Williams, L. (2019). A systematic mapping study of infrastructure as code research. INFORMATION AND SOFTWARE TECHNOLOGY, 108, 65–77. https://doi.org/10.1016/j.infsof.2018.12.004

Padia, K., Bandara, K. H., & Healey, C. G. (2019). A system for generating storyline visualizations using hierarchical task network planning. COMPUTERS & GRAPHICS-UK, 78, 64–75. https://doi.org/10.1016/j.cag.2018.11.004

Brugarolas, R., Yuschak, S., Adin, D., Roberts, D. L., Sherman, B. L., & Bozkurt, A. (2019). Simultaneous Monitoring of Canine Heart Rate and Respiratory Patterns During Scent Detection Tasks. IEEE SENSORS JOURNAL, 19(4), 1454–1462. https://doi.org/10.1109/JSEN.2018.2883066

Reaves, B., Vargas, L., Scaife, N., Tian, D., Blue, L., Traynor, P., & Butler, K. R. B. (2019). Characterizing the Security of the SMS Ecosystem with Public Gateways. ACM TRANSACTIONS ON PRIVACY AND SECURITY, 22(1). https://doi.org/10.1145/3268932

Yu, Z., & Menzies, T. (2019). FAST(2): An intelligent assistant for finding relevant papers. EXPERT SYSTEMS WITH APPLICATIONS, 120, 57–71. https://doi.org/10.1016/j.eswa.2018.11.021

Horton, E., Kloster, K., & Sullivan, B. D. (2019). Subgraph centrality and walk-regularity. Linear Algebra and Its Applications, 570, 225–244. https://doi.org/10.1016/j.laa.2019.02.005

Ozer, E. M., Penilla, C., Spain, R. D., Mott, B. W., Woodson, D., & Lester, J. C. (2019, February). HEALTH QUEST: PROMOTING ADOLESCENTS' HEALTH SCIENCE CAREER INTERESTS THROUGH TECHNOLOGY-RICH LEARNING EXPERIENCES. JOURNAL OF ADOLESCENT HEALTH, Vol. 64, pp. S134–S134. https://doi.org/10.1016/j.jadohealth.2018.10.279

Ozer, E. M., Rowe, J. P., Tebb, K. P., Berna, M. S., Jasik, C. B., Penilla, C., … Lester, J. C. (2019). ENGAGING ADOLESCENTS IN A SELF-ADAPTIVE PERSONALIZED BEHAVIOR CHANGE SYSTEM FOR ADOLESCENT PREVENTIVE HEALTHCARE. JOURNAL OF ADOLESCENT HEALTH, 64(2), S60–61. https://doi.org/10.1016/j.jadohealth.2018.10.132

Yang, F., Niu, K., Collins, C. G., Yan, X., Ji, Y., Ling, N., … Hu, S. (2019). Grazing practices affect the soil microbial community composition in a Tibetan alpine meadow. LAND DEGRADATION & DEVELOPMENT, 30(1), 49–59. https://doi.org/10.1002/ldr.3189

Zwarycz, B., Gracz, A. D., Rivera, K. R., Williamson, I. A., Samsa, L. A., Starmer, J., … Magness, S. T. (2019). IL22 Inhibits Epithelial Stem Cell Expansion in an Ileal Organoid Model. CELLULAR AND MOLECULAR GASTROENTEROLOGY AND HEPATOLOGY, 7(1), 1–17. https://doi.org/10.1016/j.jcmgh.2018.06.008

Li, W., Guo, B., Li, X., Zhou, Y., Huang, S., & Rouskas, G. N. (2019). A large-scale nesting ring multi-chip architecture for manycore processor systems. OPTICAL SWITCHING AND NETWORKING, 31, 183–192. https://doi.org/10.1016/j.osn.2018.10.004

Dai, T., Dean, D., Wang, P., Gu, X., & Lu, S. (2019). Hytrace: A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 30(1), 107–118. https://doi.org/10.1109/TPDS.2018.2858800

Reidl, F., Villaamil, F. S., & Stavropoulos, K. (2019). Characterising bounded expansion by neighbourhood complexity. EUROPEAN JOURNAL OF COMBINATORICS, 75, 152–168. https://doi.org/10.1016/j.ejc.2018.08.001