Debugging Task Force

TruX, SnT, University of Luxembourg


Research Interests
  • Software Debugging (especially bug localization and program repair ),
  • Software Security (especially vulnerability detection and fixing),
  • Code Search (both free-form and semantic code-to-code),
  • and more broadly Secure and Reliable Software Engineering.
Open Positions:

TruX-DTF is looking for motivated and excellent PhD candidates for applying to FNR research grants. Please send your resume and transcript to Dr. Tegawendé F. Bissyandé (tegawende.bissyande[at]uni.lu) if you are interested.

Latest News

"Crex: Predicting Patch Correctness in Automated Repair of C Programs through Transfer Learning of Execution Semantics" accepted @IST

Our paper entitled "Crex: Predicting Patch Correctness in Automated Repair of C Programs through Transfer Learning of Execution Semantics" has been accepted for publication in journal of Information and Software Technology, 2022, written by Dapeng Yan, Kui Liu, Yuqing Niu, Li Li, Zhe Liu, Zhiming Liu, Jacques Klein, and Tegawendé F. Bissyandé.

"Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness" accepted @ASE 2022

Our paper entitled "Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness" has been accepted for the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), written by Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, and Tegawendé F. Bissyandé.

"Peeler: Learning to Effectively Predict Flakiness without Running Tests" accepted @ICSME 2022

Our paper entitled "Peeler: Learning to Effectively Predict Flakiness without Running Tests" has been accepted for the 38th International Conference on Software Maintenance and Evolution (ICSME 2022), written by Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, and Tegawendé F. Bissyandé.

"DigBug—Pre/post-processing operator selection for accurate bug localization" accepted @JSS

Our paper entitled "DigBug—Pre/post-processing operator selection for accurate bug localization" has been accepted for publication in Journal of Systems and Software, 2021 (to appear), written by Kisub Kim, Sankalp Ghatpande, Kui Liu, Anil Koyuncu, Dongsun Kim, Tegawendé F. Bissyandé, Jacques Klein, Yves LeTraon.

"Predicting Patch Correctness Based on the Similarity of Failing Test Cases" accepted @TOSEM

Our paper entitled "DigBug—Pre/post-processing operator selection for accurate bug localization" has been accepted for publication in ACM Transactions on Software Engineering and Methodology, 2022 (to appear), written by Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kabore, Kui Liu, Andrew Habib, Jacques Klein, and Tegawendé F. Bissyandé.