How developers debug software the DbgBench dataset: poster. - Marcel Böhme; Ezekiel O. Soremekun; Sudipta Chattopadhyay 001; Emamurho Ugherughe; Andreas Zeller (ICSE (Companion Volume), 2017)

Debugging with probabilistic event structures. - Ezekiel O. Soremekun (ICSE (Companion Volume), 2017)

Where is the bug and how is it fixed? an experiment with practitioners. - Marcel Böhme; Ezekiel O. Soremekun; Sudipta Chattopadhyay 001; Emamurho Ugherughe; Andreas Zeller (ESEC/SIGSOFT FSE, 2017)

Wo ist der Fehler und wie wird er behoben? Ein Experiment mit Softwareentwicklern. - Marcel Böhme; Ezekiel Olamide Soremekun; Sudipta Chattopadhyay 001; Emamurho Ugherughe; Andreas Zeller (Software Engineering, 2018)

Detecting Information Flow by Mutating Input Data. - Björn Mathis; Vitalii Avdiienko; Ezekiel O. Soremekun; Marcel Böhme; Andreas Zeller (Software Engineering, 2018)

Inputs from Hell: Generating Uncommon Inputs from Common Samples. - Esteban Pavese; Ezekiel O. Soremekun; Nikolas Havrikov; Lars Grunske; Andreas Zeller (CoRR, 2018)

Debugging inputs. - Lukas Kirschner; Ezekiel O. Soremekun; Andreas Zeller (ICSE (Companion Volume), 2020)

Abstracting failure-inducing inputs. - Rahul Gopinath; Alexander Kampmann; Nikolas Havrikov; Ezekiel O. Soremekun; Andreas Zeller (ISSTA, 2020)

When does my program do this? learning circumstances of software behavior. - Alexander Kampmann; Nikolas Havrikov; Ezekiel O. Soremekun; Andreas Zeller (ESEC/SIGSOFT FSE, 2020)

Exposing Backdoors in Robust Machine Learning Models. - Ezekiel O. Soremekun; Sakshi Udeshi; Sudipta Chattopadhyay 001; Andreas Zeller (CoRR, 2020)

Learning Circumstances of Software Failures. - Rahul Gopinath; Nikolas Havrikov; Alexander Kampmann; Ezekiel O. Soremekun; Andreas Zeller (Software Engineering, 2021)

Isolating Faults in Failure-Inducing Inputs. - Lukas Kirschner; Ezekiel O. Soremekun; Andreas Zeller (Software Engineering, 2021)

Probabilistic Grammar-based Test Generation. - Ezekiel O. Soremekun; Esteban Pavese; Nikolas Havrikov; Lars Grunske; Andreas Zeller (Software Engineering, 2021)

Locating faults with program slicing: an empirical analysis. - Ezekiel O. Soremekun; Lukas Kirschner; Marcel Böhme; Andreas Zeller (Empir. Softw. Eng., 2021)

Evidence-driven testing and debugging of software systems. - Ezekiel Olamide Soremekun (2021)

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. - Wei Ma; Mengjie Zhao; Ezekiel O. Soremekun; Qiang Hu; Jie M. Zhang; Mike Papadakis; Maxime Cordy; Xiaofei Xie; Yves Le Traon (MSR, 2022)

IntJect: Vulnerability Intent Bug Seeding. - Benjamin Petit; Ahmed Khanfir; Ezekiel O. Soremekun; Gilles Perrouin; Mike Papadakis (QRS, 2022)

Software Fairness: An Analysis and Survey. - Ezekiel O. Soremekun; Mike Papadakis; Maxime Cordy; Yves Le Traon (CoRR, 2022)

Input Repair via Synthesis and Lightweight Error Feedback. - Lukas Kirschner; Ezekiel O. Soremekun; Rahul Gopinath; Andreas Zeller (CoRR, 2022)

Evidence-driven Testing and Debugging of Software Systems. - Ezekiel O. Soremekun (Softwaretechnik-Trends, 2022)

Inputs From Hell. - Ezekiel O. Soremekun; Esteban Pavese; Nikolas Havrikov; Lars Grunske; Andreas Zeller (IEEE Trans. Software Eng., 2022)

Astraea: Grammar-Based Fairness Testing. - Ezekiel O. Soremekun; Sakshi Udeshi; Sudipta Chattopadhyay 001 (IEEE Trans. Software Eng., 2022)

Poster: Distribution-aware Fairness Test Generation. - Sai Sathiesh Rajan; Ezekiel O. Soremekun; Sudipta Chattopadhyay 001; Yves Le Traon (ICSE Companion, 2023)

Evaluating the Impact of Experimental Assumptions in Automated Fault Localization. - Ezekiel O. Soremekun; Lukas Kirschner; Marcel Böhme; Mike Papadakis (ICSE, 2023)

Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution. - Milos Ojdanic; Ezekiel O. Soremekun; Renzo Degiovanni; Mike Papadakis; Yves Le Traon (ACM Trans. Softw. Eng. Methodol., 2023)

Towards Backdoor Attacks and Defense in Robust Machine Learning Models. - Ezekiel O. Soremekun; Sakshi Udeshi; Sudipta Chattopadhyay 001 (Comput. Secur., 2023)

Knowledge-based Consistency Testing of Large Language Models. - Sai Sathiesh Rajan; Ezekiel Olamide Soremekun; Sudipta Chattopadhyay 001 (EMNLP (Findings), 2024)

End-user Comprehension of Transfer Risks in Smart Contracts. - Yustynn Panicker; Ezekiel O. Soremekun; Sumei Sun; Sudipta Chattopadhyay 001 (CoRR, 2024)

Distribution-aware fairness test generation. - Sai Sathiesh Rajan; Ezekiel O. Soremekun; Yves Le Traon; Sudipta Chattopadhyay 001 (J. Syst. Softw., 2024)

Understanding End-User Perception of Transfer Risks in Smart Contracts. - Yustynn Panicker; Ezekiel O. Soremekun; Sudipta Chattopadhyay 001; Sumei Sun (CHI, 2025)

Latent Mutants: A large-scale study on the Interplay between mutation testing and software evolution. - Jeongju Sohn; Ezekiel O. Soremekun; Michail Papadakis (CoRR, 2025)

HInter: Exposing Hidden Intersectional Bias in Large Language Models. - Badr Souani; Ezekiel O. Soremekun; Mike Papadakis; Setsuko Yokoyama; Sudipta Chattopadhyay 001; Yves Le Traon (CoRR, 2025)

Directed Grammar-Based Test Generation. - Lukas Kirschner; Ezekiel O. Soremekun (CoRR, 2025)