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20242026
most citedAutomated Test Case Repair Using Language Models

16 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark

Boxi Yu, Yang Cao, Yuzhong Zhang +9

The SWE-Bench Verified leaderboard is approaching saturation, with the top system achieving 78.80%. However, we show that this performance is inflated. Our re-evaluation reveals th…

cs.SE2026

A Structured Approach to Safety Case Construction for AI Systems

Sung Une Lee, Liming Zhu, Md Shamsujjoha +4

Safety cases, structured arguments that a system is acceptably safe, are becoming central to the governance of AI systems. Yet, traditional safety-case practices from aviation or n…

cs.SE2025

Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems

Jaekwon Lee, Fabrizio Pastore, Lionel Briand

Mutation testing can help minimize the delivery of faulty software. Therefore, it is a recommended practice for developing embedded software in safety-critical cyber-physical syste…

cs.SE2024

MOTIF: A tool for Mutation Testing with Fuzzing

Jaekwon Lee, Enrico Viganò, Fabrizio Pastore +1

Mutation testing consists of generating test cases that detect faults injected into software (generating mutants) which its original test suite could not. By running such an augmen…

cs.SE2024

Search-based DNN Testing and Retraining with GAN-enhanced Simulations

Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel Briand

In safety-critical systems (e.g., autonomous vehicles and robots), Deep Neural Networks (DNNs) are becoming a key component for computer vision tasks, particularly semantic segment…

cs.LG2024

System Safety Monitoring of Learned Components Using Temporal Metric Forecasting

Sepehr Sharifi, Andrea Stocco, Lionel C. Briand

In learning-enabled autonomous systems, safety monitoring of learned components is crucial to ensure their outputs do not lead to system safety violations, given the operational co…

cs.CR2024★ 1 cited

AIM: Automated Input Set Minimization for Metamorphic Security Testing

Nazanin Bayati Chaleshtari, Yoann Marquer, Fabrizio Pastore +1

Although the security testing of Web systems can be automated by generating crafted inputs, solutions to automate the test oracle, i.e., vulnerability detection, remain difficult t…

cs.SE2024★ 16 cited

Automated Test Case Repair Using Language Models

Ahmadreza Saboor Yaraghi, Darren Holden, Nafiseh Kahani +1

Ensuring the quality of software systems through testing is essential, yet maintaining test cases poses significant challenges and costs. The need for frequent updates to align wit…