4 citations · 8 across the 9 of their papers we have counts for
4 papers · 2 filters
Automatic Identification of Machine Learning-Specific Code Smells
Peter Hamfelt, Ricardo Britto, Lincoln Rocha +1
Machine learning (ML) has rapidly grown in popularity, becoming vital to many industries. Currently, the research on code smells in ML applications lacks tools and studies that add…
Quo Vadis, Code Review? Exploring the Future of Code Review
Michael Dorner, Andreas Bauer, Darja Šmite +6
Context: Code review has long been a core practice in collaborative software engineering. As automation becomes increasingly embedded in development workflows, the role and functio…
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
Shweta Ramesh, Joy Bose, Hamender Singh +5
Code review is one of the primary means of assuring the quality of released software along with testing and static analysis. However, code review requires experienced developers wh…
Static Program Analysis Guided LLM Based Unit Test Generation
Sujoy Roychowdhury, Giriprasad Sridhara, A K Raghavan +5
We describe a novel approach to automating unit test generation for Java methods using large language models (LLMs). Existing LLM-based approaches rely on sample usage(s) of the me…