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Security Code Review by LLMs: A Deep Dive into Responses
To explore the challenges of applying LLMs in practical code review for security defect detection, this study compared the detection performance of three state-of-the-art LLMs (Gemini Pro, GPT-4, and GPT-3. 5) under five prompts on 549 code files that contain security defects from real-world code reviews.
A Study of Fairness Concerns in AI-based Mobile App Reviews
Finally, the manual analysis of 2, 248 app owners' responses to the fairness reviews identified six root causes (e. g., 'copyright issues') that app owners report to justify fairness concerns.
How Can Human Values Be Addressed in Agile Methods? A Case Study on SAFe
We elaborate how some current Agile artefacts (e. g., user story), roles (e. g., product owner), ceremonies (e. g., stand-up meeting), and practices (e. g., business-facing testing) in SAFe can be modified to support the inclusion of human values in software.
Software Engineering
