2 citations · 6 across the 10 of their papers we have counts for
10 papers
Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair
S M Farah Al Fahim, Md Nakhla Rafi, Md Ahasanuzzaman +5
Bug reports serve as task specifications for repository-level automated program repair (APR) agents, but they often describe only the observed failure and omit repair-relevant info…
FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search
Md Nakhla Rafi, Md Ahasanuzzaman, Dong Jae Kim +2
LLM-based agents increasingly solve complex tasks through long trajectories involving reasoning steps, tool calls, and inter-agent communication. However, when these agents fail, i…
CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows
Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun +1
Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failu…
Evaluating Software Process Models for Multi-Agent Class-Level Code Generation
Wasique Islam Shafin, Md Nakhla Rafi, Zhenhao Li +1
Modern software systems require code that is not only functional but also maintainable and well-structured. Although Large Language Models (LLMs) are increasingly used to automate…
Crash Report Enhancement with Large Language Models: An Empirical Study
S M Farah Al Fahim, Md Nakhla Rafi, Zeyang Ma +3
Crash reports are central to software maintenance, yet many lack the diagnostic detail developers need to debug efficiently. We examine whether large language models can enhance cr…
Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen +1
Large Language Models (LLMs) show great promise in software engineering tasks like Fault Localization (FL) and Automatic Program Repair (APR). This study investigates the impact of…
A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and Reflexion
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen +1
Identifying and resolving software faults remains a challenging and resource-intensive process. Traditional fault localization techniques, such as Spectrum-Based Fault Localization…
SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
Md Nakhla Rafi, Lorena Barreto Simedo Pacheco, An Ran Chen +3
Fault localization is a critical step in software maintenance. Yet, many existing techniques, such as Spectrum-Based Fault Localization (SBFL), rely heavily on the availability of…
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen +2
Automatic software fault localization plays an important role in software quality assurance by pinpointing faulty locations for easier debugging. Coverage-based fault localization,…
Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization
Md Nakhla Rafi, An Ran Chen, Tse-Hsun Chen +1
For software testing research, Defects4J stands out as the primary benchmark dataset, offering a controlled environment to study real bugs from prominent open-source systems. Howev…