91 citations · 95 across the 14 of their papers we have counts for
14 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…
Evaluating LLMs on Java Code Snippet Adaptation Using a Mutation-Injection Framework
Ali Aman, Muhammad Asaduzzaman, Shaowei Wang +1
Background: Developers frequently reuse code by copying fragments and adapting them to fit new contexts. Existing benchmarks for evaluating large language models (LLMs) on code ada…
Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
Pengfei He, Shaowei Wang, Tse-Hsun Chen +1
Static program slicing is a fundamental software engineering technique for isolating code relevant to specific variables. While recent learning-based approaches using language mode…
When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation
Ahmed Nusayer Ashik, Shaowei Wang, Tse-Hsun Chen +2
The rapid evolution of software libraries creates a significant challenge for Large Language Models (LLMs), whose static parametric knowledge often becomes stale post-training. Whi…
Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference
Ali Aman, Muhammad Asaduzzaman, Shaowei Wang
Python's dynamic type system, while offering significant flexibility and expressiveness, poses substantial challenges for static analysis and automated tooling, particularly in una…
A Survey of Code Review Benchmarks and Evaluation Practices in Pre-LLM and LLM Era
Taufiqul Islam Khan, Shaowei Wang, Haoxiang Zhang +1
Code review is a critical practice in modern software engineering, helping developers detect defects early, improve code quality, and facilitate knowledge sharing. With the rapid a…
SLICET5: Static Program Slicing using Language Models with Copy Mechanism and Constrained Decoding
Pengfei He, Shaowei Wang, Tse-Hsun Chen
Static program slicing is a fundamental technique in software engineering. Traditional static slicing tools rely on parsing complete source code, which limits their applicability t…
Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization
Md. Ashraf Uddin, Shaowei Wang, An Ran Chen +3
An assertion is commonly used to validate the expected programs behavior (e.g., if the returned value of a method equals an expected value) in software testing. Although it is a re…
CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs
Pengfei He, Shaowei Wang, Tse-Hsun Chen
Retrieval-Augmented Generation (RAG) enhances coding tasks by incorporating retrieved code examples into prompts. However, lengthy prompts, often exceeding tens of thousands of tok…
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…
Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks
Pengfei He, Shaowei Wang, Shaiful Chowdhury +1
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge bases, achieving state-of-the-art results in various coding tasks. The…
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…
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,…
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
Zeyang Ma, An Ran Chen, Dong Jae Kim +2
Logs are important in modern software development with runtime information. Log parsing is the first step in many log-based analyses, that involve extracting structured information…