OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
Chanathip Pornprasit, Chakkrit Tantithamthavorn
(2021)
Open Access | Times Cited: 87
Chanathip Pornprasit, Chakkrit Tantithamthavorn
(2021)
Open Access | Times Cited: 87
Showing 1-25 of 87 citing articles:
VulRepair: a T5-based automated software vulnerability repair
Michael C. Fu, Chakkrit Tantithamthavorn, Trung Le, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022), pp. 935-947
Closed Access | Times Cited: 80
Michael C. Fu, Chakkrit Tantithamthavorn, Trung Le, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022), pp. 935-947
Closed Access | Times Cited: 80
DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction
Chanathip Pornprasit, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 1, pp. 84-98
Closed Access | Times Cited: 71
Chanathip Pornprasit, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 1, pp. 84-98
Closed Access | Times Cited: 71
Deep Learning for Android Malware Defenses: A Systematic Literature Review
Yue Liu, Chakkrit Tantithamthavorn, Li Li, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-36
Open Access | Times Cited: 62
Yue Liu, Chakkrit Tantithamthavorn, Li Li, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-36
Open Access | Times Cited: 62
GPT2SP: A Transformer-Based Agile Story Point Estimation Approach
Michael C. Fu, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 2, pp. 611-625
Closed Access | Times Cited: 41
Michael C. Fu, Chakkrit Tantithamthavorn
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 2, pp. 611-625
Closed Access | Times Cited: 41
The best of both worlds: integrating semantic features with expert features for defect prediction and localization
Chao Ni, Wei Wang, Kaiwen Yang, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Closed Access | Times Cited: 41
Chao Ni, Wei Wang, Kaiwen Yang, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Closed Access | Times Cited: 41
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Open Access | Times Cited: 38
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Open Access | Times Cited: 38
Software defect prediction: future directions and challenges
Zhiqiang Li, Jingwen Niu, Xiao‐Yuan Jing
Automated Software Engineering (2024) Vol. 31, Iss. 1
Closed Access | Times Cited: 8
Zhiqiang Li, Jingwen Niu, Xiao‐Yuan Jing
Automated Software Engineering (2024) Vol. 31, Iss. 1
Closed Access | Times Cited: 8
Practitioners’ Perceptions of the Goals and Visual Explanations of Defect Prediction Models
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John Grundy
(2021), pp. 432-443
Open Access | Times Cited: 52
Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, John Grundy
(2021), pp. 432-443
Open Access | Times Cited: 52
Explainable AI for Software Engineering
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Open Access | Times Cited: 46
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Open Access | Times Cited: 46
AutoTransform
Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn
Proceedings of the 44th International Conference on Software Engineering (2022), pp. 237-248
Closed Access | Times Cited: 31
Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn
Proceedings of the 44th International Conference on Software Engineering (2022), pp. 237-248
Closed Access | Times Cited: 31
CommentFinder: a simpler, faster, more accurate code review comments recommendation
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Closed Access | Times Cited: 31
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Closed Access | Times Cited: 31
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
Michael C. Fu, Chakkrit Tantithamthavorn, Trung Le, et al.
Empirical Software Engineering (2023) Vol. 29, Iss. 1
Open Access | Times Cited: 20
Michael C. Fu, Chakkrit Tantithamthavorn, Trung Le, et al.
Empirical Software Engineering (2023) Vol. 29, Iss. 1
Open Access | Times Cited: 20
CCT5: A Code-Change-Oriented Pre-trained Model
Bo Lin, Shangwen Wang, Zhongxin Liu, et al.
(2023)
Open Access | Times Cited: 18
Bo Lin, Shangwen Wang, Zhongxin Liu, et al.
(2023)
Open Access | Times Cited: 18
PyExplainer: Explaining the Predictions of Just-In-Time Defect Models
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Closed Access | Times Cited: 37
Chanathip Pornprasit, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021)
Closed Access | Times Cited: 37
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 2814-2835
Open Access | Times Cited: 34
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 2814-2835
Open Access | Times Cited: 34
Actionable Analytics: Stop Telling Me What It Is; Please Tell Me What To Do
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
IEEE Software (2021) Vol. 38, Iss. 4, pp. 115-120
Closed Access | Times Cited: 23
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
IEEE Software (2021) Vol. 38, Iss. 4, pp. 115-120
Closed Access | Times Cited: 23
HERMES: Using Commit-Issue Linking to Detect Vulnerability-Fixing Commits
Giang Nguyen-Truong, Hong Jin Kang, David Lo, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2022), pp. 51-62
Open Access | Times Cited: 17
Giang Nguyen-Truong, Hong Jin Kang, David Lo, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2022), pp. 51-62
Open Access | Times Cited: 17
XCoS: Explainable Code Search Based on Query Scoping and Knowledge Graph
Chong Wang, Xin Peng, Zhenchang Xing, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 6, pp. 1-28
Open Access | Times Cited: 9
Chong Wang, Xin Peng, Zhenchang Xing, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 6, pp. 1-28
Open Access | Times Cited: 9
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?
Emanuele Iannone, Giulia Sellitto, Emanuele Iaccarino, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-41
Open Access | Times Cited: 3
Emanuele Iannone, Giulia Sellitto, Emanuele Iaccarino, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-41
Open Access | Times Cited: 3
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
Shuo Liu, Jacky Keung, Zhen Yang, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2024), pp. 465-476
Open Access | Times Cited: 3
Shuo Liu, Jacky Keung, Zhen Yang, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2024), pp. 465-476
Open Access | Times Cited: 3
Where Should I Look at? Recommending Lines that Reviewers Should Pay Attention To
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2022), pp. 1034-1045
Closed Access | Times Cited: 13
Yang Hong, Chakkrit Tantithamthavorn, Patanamon Thongtanunam
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2022), pp. 1034-1045
Closed Access | Times Cited: 13
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction
Tanghaoran Zhang, Yue Yu, Xinjun Mao, et al.
Empirical Software Engineering (2022) Vol. 27, Iss. 7
Closed Access | Times Cited: 13
Tanghaoran Zhang, Yue Yu, Xinjun Mao, et al.
Empirical Software Engineering (2022) Vol. 27, Iss. 7
Closed Access | Times Cited: 13
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go?
Zhaoqiang Guo, Shiran Liu, Xutong Liu, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 4, pp. 1-55
Closed Access | Times Cited: 7
Zhaoqiang Guo, Shiran Liu, Xutong Liu, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 4, pp. 1-55
Closed Access | Times Cited: 7
