Works Published in 2022

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Displaying works 181 - 200 of 247 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2022 journal article

On the Value of Oversampling for Deep Learning in Software Defect Prediction

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(8), 3103–3116.

By: R. Yedida n & T. Menzies n

Contributors: R. Yedida n & T. Menzies n

author keywords: Deep learning; Tuning; Predictive models; Standards; Prediction algorithms; Training; Tools; Defect prediction; oversampling; class imbalance; neural networks
TL;DR: The results present a cogent case for the use of oversampling prior to applying deep learning on software defect prediction datasets, which can do significantly better than the prior DL state of the art in 14/20 defect data sets. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 12, 2022

2022 article

Teaching How to Teach Promotes Learning by Teaching

Matsuda, N., Lv, D., & Zheng, G. (2022, August 31). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.

By: N. Matsuda n, D. Lv & G. Zheng n

author keywords: Teachable agent; Learning by teaching; Algebra; Personalized learning; Metacognitive scaffolding
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: September 12, 2022

2022 article

SAR Self-Enhanced by Electro-optical Network (SARSEEN)

SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI, Vol. 12122.

By: K. Tran n, W. Sakla & H. Krim*

author keywords: S AR; multimodal fusion; remote sensing
TL;DR: A framework is developed that inputs a SAR image and predicts a Canny edge map of the optical image, which retains structural information, while removing superfluous details, and can outperform the same model that only uses the SAR image. (via Semantic Scholar)
Source: Web Of Science
Added: September 6, 2022

2022 article

OJXPerf: Featherlight Object Replica Detection for Java Programs

2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), pp. 1558–1570.

By: B. Li n, H. Xu*, Q. Zhao n, P. Su*, M. Chabbi*, S. Jiao n, X. Liu n

TL;DR: OJXPerf, a lightweight sampling-based profiler, which probabilistically identifies identical objects with code-level attribution can assist developers in refactoring code to eliminate object bloat, and favor reuse of existing object(s). (via Semantic Scholar)
Source: Web Of Science
Added: August 29, 2022

2022 article

Temporal Exposure Reduction Protection for Persistent Memory

2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022), pp. 908–924.

By: Y. Xu n, C. Ye*, X. Shen n & Y. Solihin*

author keywords: Memory Security; Persistent Memory; Memory Exposure Reduction; Hardware-Software Co-Design
TL;DR: This paper develops temporal exposure reduction protection (TERP) as a framework for enforcing memory safety and proposes programming system and architecture solutions for the key challenges for the adoption of TERP, which draws on novel supports in both compilers and hardware to efficiently meet the exposure time target. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 29, 2022

2022 article

PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis

2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), pp. 1669–1680.

By: J. He*, Y. Lin n, X. Gu n, C. Yeh* & Z. Zhuang*

author keywords: Debugging; Bug signatures; Software reliability; Performance
TL;DR: The experimental results show that PerfSig captures various kinds of fine-grained anomaly patterns from different machine data and successfully identifies the root cause functions through multi-modality causal analysis for 19 out of 20 tested performance bugs. (via Semantic Scholar)
Source: Web Of Science
Added: August 29, 2022

2022 conference paper

Gender, Self-Assessment, and Persistence in Computing: How gender differences in self-assessed ability reduce women’s persistence in computer science

Proceedings of the 2022 ACM Conference on International Computing Education Research V.1.

Contributors: L. Battestilli n

TL;DR: This research furthers the understanding of why gender differences exist in self-assessments of computing ability and how these differences can contribute to gender disparities in computing persistence and draws attention to the importance of feedback in computing courses. (via Semantic Scholar)
Source: ORCID
Added: August 26, 2022

2022 article

If We Build It, Will They Learn? An Analysis of Students' Understanding in an Interactive Game During and After a Research Project

Horwitz, P., Reichsman, F., Lord, T., Dorsey, C., Wiebe, E., & Lester, J. (2022, August 5). TECHNOLOGY KNOWLEDGE AND LEARNING.

By: P. Horwitz*, F. Reichsman*, T. Lord*, C. Dorsey*, E. Wiebe n & J. Lester n

author keywords: Modeling; Science education; Logging; Assessment
TL;DR: Geniventure is an interactive digital game designed to teach genetics to middle and high school students that offers a sequence of challenges of increasing difficulty and records students’ actions as they progress, with a highly significant positive correlation with performance on “assessment” challenges, presented immediately following the practice challenges that required students to invoke relevant mental models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 22, 2022

2022 journal article

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application

EMPIRICAL SOFTWARE ENGINEERING, 27(6).

By: S. Elder n, N. Zahan n, R. Shu n, M. Metro n, V. Kozarev n, T. Menzies n, L. Williams n

author keywords: Vulnerability Management; Web Application Security; Penetration Testing; Vulnerability Scanners
TL;DR: The goal of this research is to assist managers and other decision-makers in making informed choices about the use of software vulnerability detection techniques through an empirical study of the efficiency and effectiveness of four techniques on a Java-based web application. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 22, 2022

2022 journal article

Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(8), 2939–2954.

Contributors: A. Agrawal*, X. Yang n, R. Agrawal n, R. Yedida n, X. Shen n & T. Menzies n

author keywords: Software analytics; hyperparameter optimization; defect prediction; bad smell detection; issue close time; bug reports
TL;DR: The simple DODGE works best for data sets with low “intrinsic dimensionality” and very poorly for higher-dimensional data; nearly all the SE data seen here was intrinsically low-dimensional, indicating that DODGE is applicable for many SE analytics tasks. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 16, 2022

2022 article

Enhancing a student productivitymodel for adaptive problem-solving assistance

Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). USER MODELING AND USER-ADAPTED INTERACTION.

author keywords: Adaptive support; Student modeling; Assistance dilemma; Unproductivity; Data-driven tutoring; Propositional logic
TL;DR: A novel data-driven approach to incorporate students’ hint usage in predicting their need for help that significantly improves the adaptive hint policy’s efficacy in predictingStudents’ HelpNeed, thereby reducing training unproductivity, reducing possible help avoidance, and increasing possible help appropriateness. (via Semantic Scholar)
Source: Web Of Science
Added: August 15, 2022

2022 journal article

Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 406–420.

By: S. Marwan n, B. Akram n, T. Barnes n & T. Price n

author keywords: Programming; Task analysis; Codes; Uncertainty; Programming environments; Adaptive systems; Real-time systems; Adaptive feedback; block-based programming; formative feedback; subgoals feedback
TL;DR: This article presents the adaptive immediate feedback (AIF) system, which uses a hybrid data-driven feedback generation algorithm to provide students with information on their progress, code correctness, and potential errors, as well as encouragement in the middle of programming. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 10, 2022

2022 journal article

Discovering urban functional zones from biased and sparse points of interests and sparse human activities

EXPERT SYSTEMS WITH APPLICATIONS, 207.

By: W. Tang n, A. Chakeri & H. Krim n

author keywords: Functional zones discovering; Latent region representation learning; Sparse and bias POIs; GPS data; Conditional random field clustering; Function annotation
TL;DR: The proposed framework to discover the real functional zones from the biased and extremely sparse Point of Interests (POIs) can better identify functional zones than the benchmarks, and enhance understanding of urban structures with a finer granularity under practical conditions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Source: Web Of Science
Added: August 8, 2022

2022 article

Improved Parameterized Complexity of Happy Set Problems

ArXiv.

By: Y. Mizutani & B. Sullivan*

Contributors: Y. Mizutani & B. Sullivan*

Source: ORCID
Added: August 6, 2022

2022 article

Faster Decomposition ofWeighted Graphs into Cliques using Fisher's Inequality

ArXiv.

By: S. Jain, Y. Mizutani & B. Sullivan*

Contributors: S. Jain, Y. Mizutani & B. Sullivan*

Source: ORCID
Added: August 6, 2022

2022 journal article

On the threshold of intractability

Journal of Computer and System Sciences, 124, 1–25.

By: P. Drange*, M. Dregi*, D. Lokshtanov* & B. Sullivan*

Contributors: P. Drange*, M. Dregi*, D. Lokshtanov* & B. Sullivan*

author keywords: Edge editing; Threshold graphs; Parameterized complexity
Source: ORCID
Added: August 6, 2022

2022 article

Gerrymandering Trees: Parameterized Hardness

ArXiv.

By: A. Fraser, B. Lavallee & B. Sullivan*

Contributors: A. Fraser, B. Lavallee & B. Sullivan*

UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: August 6, 2022

2022 journal article

Context-Based Identification of Muscle Invasion Status in Patients With Bladder Cancer Using Natural Language Processing

JCO Clinical Cancer Informatics.

MeSH headings : Cystectomy / methods; Female; Humans; Male; Muscles / pathology; Natural Language Processing; Rare Diseases; Urinary Bladder Neoplasms / pathology; Urologic Surgical Procedures
TL;DR: This NLP model, with high accuracy, may be a practical tool for efficiently identifying BC invasion status and aid in population-based BC research. (via Semantic Scholar)
Source: ORCID
Added: July 30, 2022

2022 article

Domain-specific text dictionaries for text analytics

Villanes, A., & Healey, C. G. (2022, July 11). INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS.

By: A. Villanes n & C. Healey n

author keywords: Dengue fever; Text analytics; Sentiment
TL;DR: A semiautomatic method for extending a general sentiment dictionary for a specific target domain in a way that minimizes manual effort and is integrated into an epidemiology surveillance system that includes sentiment visualization. (via Semantic Scholar)
Source: Web Of Science
Added: July 26, 2022

2022 article

Identifying Common Errors in Open-Ended Machine Learning Projects

PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, Vol. 1, pp. 216–222.

By: J. Skripchuk n, Y. Shi n & T. Price n

Contributors: J. Skripchuk n, Y. Shi n & T. Price n

author keywords: Computer science education; Machine learning education; Data science
TL;DR: This work qualitatively coded over 2,500 cells of code from 19 final team projects in an upper-division machine learning course to identify what ML errors students struggle with, and found that library usage, hyperparameter tuning, and misusing test data were among the most common errors. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: July 23, 2022

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