Works Published in 2021
Displaying works 221 - 240 of 269 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2021 journal article
Development of a Dissemination Platform for Spatiotemporal and Phylogenetic Analysis of Avian Infectious Bronchitis Virus
FRONTIERS IN VETERINARY SCIENCE, 8.
author keywords: infectious bronchitis; virus evolution; outbreak analytics; avian disease; evolutionary epidemiology
TL;DR:
The results could allow producers and veterinarians to monitor in near-real time the current IBV strain circulating, making it more informative, for example, in vaccination-related decisions.
(via Semantic Scholar)
www.frontiersin.org (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: June 14, 2021
2021 report
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time
(ArXiv Preprint No. 2101.06319).
Source: NC State University Libraries
Added: June 12, 2021
2021 journal article
On the Value of Oversampling for Deep Learning in Software Defect Prediction
IEEE Transactions on Software Engineering, 1–1.
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: Crossref, NC State University Libraries
Added: June 12, 2021
2021 journal article
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When
IEEE Transactions on Software Engineering, 1–1.
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: Crossref, NC State University Libraries
Added: June 12, 2021
2021 journal article
Reuse-centric k-means configuration
INFORMATION SYSTEMS, 100.
author keywords: K-means; Algorithm configuration; Computation reuse
Sources: Web Of Science, NC State University Libraries, ORCID
Added: June 10, 2021
2021 journal article
Crosstalk-Aware Shared Backup Path Protection in Multi-Core Fiber Elastic Optical Networks
JOURNAL OF LIGHTWAVE TECHNOLOGY, 39(10), 3025–3036.
author keywords: Crosstalk; Optical fiber networks; Optical crosstalk; Resource management; Routing; Optical fibers; Heuristic algorithms; Inter-core crosstalk; MCF-EON; RCSA; SBPP; survivability
TL;DR:
This article considers the design of MCF-EONs with shared-backup path protection (SBPP), one of the most efficient techniques for protecting network traffic, and tackles the crosstalk-aware routing, core, and spectrum assignment (CA-RCSA) problem with the objective of jointly minimizing the network spectrum resources used and the total inter-core crosStalk.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 10, 2021
2021 article
Co-teaching with an immersive digital game: supporting teacher-game instructional partnerships
Mutch-Jones, K., Boulden, D. C., Gasca, S., Lord, T., Wiebe, E., & Reichsman, F. (2021, May 24). ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, Vol. 5.
author keywords: Digital games; Teachers; Instruction; Biology; Classrooms
TL;DR:
A pattern of instructional orchestration emerged, resembling co-teaching—a reciprocal and supportive “relationship” between the teacher and the game.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021
2021 journal article
Different Kind of Smells: Security Smells in Infrastructure as Code Scripts
IEEE SECURITY & PRIVACY, 19(3), 33–41.
TL;DR:
This article summarizes the recent research findings related to infrastructure as code (IaC) scripts, where 67,801 occurrences of security smells that include 9,175 hard-coded passwords are identified.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: Web Of Science
Added: June 10, 2021
2021 journal article
Assessing practitioner beliefs about software engineering
EMPIRICAL SOFTWARE ENGINEERING, 26(4).
author keywords: Software analytics; Beliefs; Productivity; Quality; Experience
TL;DR:
It is found that a narrow scope could delude practitioners in misinterpreting certain effects to hold in their day-to-day work, and programming languages act as a confounding factor for developer productivity and software quality.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021
2021 article
The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor
Cody, C., Maniktala, M., Lytle, N., Chi, M., & Barnes, T. (2021, May 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.
author keywords: Tutoring system; Hints; Assistance; Data-driven methods
TL;DR:
The influence of data-driven hint type, Waypoints versus Next-Step hints, on student learning in a logic proof tutoring system, Deep Thought, in a discrete mathematics course is investigated to suggest that Waypoint hints could be beneficial, but more scaffolding may be needed to help students follow them.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Web Of Science
Added: June 10, 2021
2021 conference paper
The Virtual Pivot: Transitioning Computational Thinking PD for Middle and High School Content Area Teachers
SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 1198–1204.
Contributors: R. Jocius *, D. Joshi *, J. Albert *, T. Barnes n, R. Robinson *, V. Cateté n , Y. Dong n, M. Blanton *, . I. O'Byrne, A. Andrews *
TL;DR:
It is argued that three categories of changes (digital tools, formats, and supports for teacher engagement and collaboration) were effective in increasing participants' self-efficacy in teaching CT, supporting collaboration, and enabling participants to design CT-infused content-area lessons.
(via Semantic Scholar)
Source: ORCID
Added: June 2, 2021
2021 conference paper
The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships
SIGCSE 2021 - Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 753–759.
Contributors: A. Rorrer *, D. Pugalee *, C. Edwards n, D. Boulden n, M. Maher *, L. Cao *, M. Dorodchi *, V. Catete n
TL;DR:
Borrowing upon visual participatory research methods, a graphic research instrument was developed to engage teachers in the research process and elicit their perspectives on strategies for building the ecosystem.
(via Semantic Scholar)
Source: ORCID
Added: June 2, 2021
2021 conference paper
PlanIT! A New Integrated Tool to Help Novices Design for Open-ended Projects
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 232–238.
Contributors: A. Milliken n, W. Wang n, V. Cateté n , S. Martin n, N. Gomes n, Y. Dong n, R. Harred n, A. Isvik n
TL;DR:
Findings from a pilot study of high school students using PlanIT are reported, showing that students who used the tool learned to make more specific and actionable plans, as well as the affordances it offers to more quickly create program elements.
(via Semantic Scholar)
Source: ORCID
Added: June 2, 2021
2021 journal article
Understanding static code warnings: An incremental AI approach
EXPERT SYSTEMS WITH APPLICATIONS, 167.
author keywords: Actionable warning identification; Active learning; Static analysis; Selection process
TL;DR:
An incremental AI tool that watches humans reading false alarm reports can quickly learn to distinguish spurious false alarms from more serious matters that deserve further attention and can identify over 90% of actionable warnings in a priority order given by the algorithm.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: May 17, 2021
2021 journal article
A Machine Learning Based Ensemble Forecasting Optimization Algorithm for Preseason Prediction of Atlantic Hurricane Activity
ATMOSPHERE, 12(4).
author keywords: hurricane prediction; machine learning; ensemble model
TL;DR:
The results show that neither SAE nor ML-OE was able to improve the forecasts of the response variables when all models show consistent bias, and that increasing the number of ensemble members does not necessarily lead to better ensemble forecasts.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 17, 2021
2021 journal article
Learning to recognize actionable static code warnings (is intrinsically easy)
EMPIRICAL SOFTWARE ENGINEERING, 26(3).
Contributors: X. Yang n, J. Chen n, R. Yedida n , Z. Yu n & T. Menzies n
author keywords: Static code analysis; Actionable warnings; Deep learning; Linear SVM; Intrinsic dimensionality
TL;DR:
It is found that data mining algorithms can find actionable warnings with remarkable ease and is concluded that learning to recognize actionable static code warnings is easy, using a wide range of learning algorithms, since the underlying data is intrinsically simple.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 17, 2021
2021 journal article
Bungie: Improving Fault Tolerance via Extensible Application-Level Protocols
COMPUTER, 54(5), 44–53.
author keywords: Fault tolerance; Protocols; Fault tolerant systems
TL;DR:
Bungie is presented, an approach based on applicationlevel protocols that precisely capture the causality inherent to the interactions among agents that provides abstractions for achieving fault tolerance.
(via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 11, 2021
2021 journal article
REDEVELOPING A DIGITAL SEXUAL HEALTH INTERVENTION FOR ADOLESCENTS TO ALLOW FOR BROADER DISSEMINATION: IMPLICATIONS FOR HIV AND STD PREVENTION
AIDS EDUCATION AND PREVENTION, 33(2), 89–102.
author keywords: adolescent sexual health; digital health intervention; development; program adaptation; implementation science; evaluation
MeSH headings : Adolescent; Female; HIV Infections / prevention & control; Health Education / methods; Health Knowledge, Attitudes, Practice; Health Promotion / methods; Humans; Implementation Science; Male; Pregnancy; Pregnancy in Adolescence / prevention & control; Program Development; Program Evaluation; Safe Sex; Self Efficacy; Sexual Behavior; Sexual Health; Sexually Transmitted Diseases / prevention & control
TL;DR:
The process of adapting, reprogramming, and evaluating the new program, which may serve as a guide for investigators seeking to adapt behavioral interventions onto digital platforms, is described, which is an open-source intervention that can be easily adapted for new populations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 10, 2021
2021 journal article
Atlantic Hurricane Activity Prediction: A Machine Learning Approach
ATMOSPHERE, 12(4).
author keywords: hurricanes; tropical cyclones; fusion networks; weather forecast
TL;DR:
A machine learning model capable of making good preseason-prediction of Atlantic hurricane activity is presented, which has the potential to make skillful predictions up to 18 months in advance.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
14. Life Below Water
(OpenAlex)
Source: Web Of Science
Added: May 10, 2021
2021 journal article
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization)
EMPIRICAL SOFTWARE ENGINEERING, 26(3).
author keywords: Hyperparameter Optimization; Data pre-processing; Security bug report
TL;DR:
The SWIFT’s dual optimization of both pre-processor and learner is more useful than optimizing each of them individually, and this approach can quickly optimize models that achieve better recalls than the prior state-of-the-art.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 3, 2021
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