9 citations · 12 across the 5 of their papers we have counts for
6 papers
Natural Language-Focused Software Engineering via Code-Documentation Equivalence
Aryaz Eghbali, Zhongxin Liu, Michael Pradel
Source code documentation is an integral part of software development and maintenance, as it helps in understanding the code and facilitates communication among developers. However…
Names Are All You Need: Effective and Safe Regression Test Selection for Python
You Wang, Michael Pradel, Zhongxin Liu
Regression test selection reduces the cost of regression testing by executing only those tests affected by a code change. Despite extensive study of RTS in statically typed languag…
PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages
Deniz Simsek, Aryaz Eghbali, Michael Pradel
Security vulnerabilities in software packages are a significant concern for developers and users alike. Patching these vulnerabilities in a timely manner is crucial to restoring th…
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Toufique Ahmed, Premkumar Devanbu, Christoph Treude +1
Experimental evaluations of software engineering innovations, e.g., tools and processes, often include human-subject studies as a component of a multi-pronged strategy to obtain gr…
Calibration and Correctness of Language Models for Code
Claudio Spiess, David Gros, Kunal Suresh Pai +6
Machine learning models are widely used, but can also often be wrong. Users would benefit from a reliable indication of whether a given output from a given model should be trusted,…
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding
Aryaz Eghbali, Michael Pradel
Large language models (LLMs) trained on datasets of publicly available source code have established a new state of the art in code generation tasks. However, these models are mostl…