Explainable AI for Software Engineering

3 December 2020

Papers citing "Explainable AI for Software Engineering"

9 / 9 papers shown

Title
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian Yang Hong C. Tantithamthavorn Jirat Pasuksmit Patanamon Thongtanunam Arik Friedman Xing Zhao Anton Krasikov 11 2 0 15 Feb 2024
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey Xinyu She Yue Liu Yanjie Zhao Yiling He Li Li C. Tantithamthavorn Zhan Qin Haoyu Wang ELM 30 13 0 27 Oct 2023
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities Michael Fu C. Tantithamthavorn Trung Le Yukinori Kume Van Nguyen Dinh Q. Phung John C. Grundy 34 30 0 26 May 2023
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation Jiamou Sun Zhenchang Xing Qinghua Lu Xiwei Xu Liming Zhu Thong Hoang Dehai Zhao 17 12 0 15 Feb 2023
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP Benjamin Ledel Steffen Herbold FAtt 20 4 0 15 Sep 2022
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study Michael Pacheco G. Oliva Gopi Krishnan Rajbahadur Ahmed E. Hassan 29 8 0 17 Jun 2022
A Methodology and Software Architecture to Support Explainability-by-Design T. D. Huynh Niko Tsakalakis Ayah Helal Sophie Stalla-Bourdillon Luc Moreau 12 5 0 13 Jun 2022
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 25 77 0 09 Mar 2021
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans Dilini Sewwandi Rajapaksha C. Tantithamthavorn Jirayus Jiarpakdee Christoph Bergmeir J. Grundy Wray L. Buntine 9 34 0 19 Feb 2021