4 papers
ImproBR: Bug Report Improver Using LLMs
Emre Furkan Akyol, Mehmet Dedeler, Eray Tüzün
Bug tracking systems play a crucial role in software maintenance, yet developers frequently struggle with low-quality user-submitted reports that omit essential details such as Ste…
LACY: Simulating Expert Mentoring for Software Onboarding with Code Tours
Zeynep Begüm Kara, Aytekin İsmail, Ece AteŠ+6
Every software organization faces the onboarding challenge: helping newcomers navigate complex codebases, compensate for insufficient documentation, and comprehend code they did no…
Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
Vehid Geruslu, Zulfiyya Aliyeva, Eray Tüzün
Context: The rapid adoption of AI-assisted code generation tools, such as large language models (LLMs), is transforming software development practices. While these tools promise si…
The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Robin Gröpler, Steffen Klepke, Jack Johns +12
Generative AI (GenAI) has recently emerged as a groundbreaking force in Software Engineering, capable of generating code, identifying bugs, recommending fixes, and supporting quali…