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Large language models (LLMs) are increasingly used for software engineering tasks that require understanding existing source code, including behavior prediction, function explanation, debugging, and code review. However, aggregate benchmark accuracy can conceal how model reliability changes as source code becomes struc...
Behavior-Driven Development (BDD) scenarios coexist with large volumes of semi-structured records (e.g., documentation, issues, informal feature descriptions), and keeping the two synchronized is laborintensive. We present a study of bidirectional generation 11https://github.com/Artin-Biniek/Submission-Project between...
The findings provide practical guidelines for selecting augmentation techniques that maximize test diversity while preserving realistic image characteristics, thereby enabling the construction of comprehensive and effective test suites for image retrieval systems while reducing the cost of manual data labeling through...
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