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Explainable AI for Software Engineering

Explainable AI for Software Engineering

International Conference on Automated Software Engineering (ASE), 2020
3 December 2020
Chakkrit Tantithamthavorn
Jirayus Jiarpakdee
J. Grundy
ArXiv (abs)PDFHTML

Papers citing "Explainable AI for Software Engineering"

9 / 9 papers shown
Practitioners' Challenges and Perceptions of CI Build Failure
  Predictions at Atlassian
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
Yang Hong
Chakkrit Tantithamthavorn
Jirat Pasuksmit
Patanamon Thongtanunam
Arik Friedman
Xing Zhao
Anton Krasikov
162
7
0
15 Feb 2024
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Pitfalls in Language Models for Code Intelligence: A Taxonomy and SurveyACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
Chakkrit Tantithamthavorn
Zhan Qin
Haoyu Wang
ELM
264
22
0
27 Oct 2023
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing
  Software Vulnerabilities
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software VulnerabilitiesEmpirical Software Engineering (EMSE), 2023
Michael Fu
Chakkrit Tantithamthavorn
Trung Le
Yukinori Kume
Van Nguyen
Dinh Q. Phung
John C. Grundy
266
58
0
26 May 2023
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key
  Aspect Explanation
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect ExplanationInternational Conference on Software Engineering (ICSE), 2023
Jiamou Sun
Zhenchang Xing
Qinghua Lu
Xiwei Xu
Liming Zhu
Thong Hoang
Dehai Zhao
234
23
0
15 Feb 2023
Studying the explanations for the automated prediction of bug and
  non-bug issues using LIME and SHAP
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
Benjamin Ledel
Steffen Herbold
FAtt
288
4
0
15 Sep 2022
What makes Ethereum blockchain transactions be processed fast or slow?
  An empirical study
What makes Ethereum blockchain transactions be processed fast or slow? An empirical studyEmpirical Software Engineering (EMSE), 2022
Michael Pacheco
G. Oliva
Gopi Krishnan Rajbahadur
Ahmed E. Hassan
210
15
0
17 Jun 2022
A Methodology and Software Architecture to Support
  Explainability-by-Design
A Methodology and Software Architecture to Support Explainability-by-Design
T. D. Huynh
Niko Tsakalakis
Ayah Helal
Sophie Stalla-Bourdillon
Luc Moreau
200
5
0
13 Jun 2022
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature ReviewACM Computing Surveys (CSUR), 2021
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
348
106
0
09 Mar 2021
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
SQAPlanner: Generating Data-Informed Software Quality Improvement PlansIEEE Transactions on Software Engineering (TSE), 2021
Dilini Sewwandi Rajapaksha
Chakkrit Tantithamthavorn
Jirayus Jiarpakdee
Christoph Bergmeir
J. Grundy
Wray Buntine
249
42
0
19 Feb 2021
1
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