8 citations · 20 across the 12 of their papers we have counts for
5 papers · 1 filter
On the Impact of Requirement Smells in LLM-Based Code Generation
Hugo Villamizar, Jannik Fischbach, Mert Şahin +5
Software requirements are typically incorporated into prompts used in LLM-assisted software development. Recent work has shown that requirement smells can affect automated traceabi…
Human-AI Collaboration in Requirements Engineering: Evidence of the Negative Effect of LLMs on Requirements Inspection
Giovanna Broccia, Julian Frattini, Chetan Arora +4
Background. Requirements inspection (RI) is a well-established practice for detecting potential defects in requirements artifacts early in the software lifecycle. Recent advances i…
Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI
Chetan Arora, Andreas Vogelsang, Abbi Sharma
Agentic AI systems do not just predict or recommend; they plan, maintain state, and act in external environments with varying degrees of autonomy. This changes the requirements eng…
On the Viability of Requirements Generation From Code: An Experience Report
Alexander Korn, Jone Bartel, Max Unterbusch +1
Empirical research in Requirements Engineering is hampered by a lack of adequate datasets that pair source code with corresponding requirements. A tempting route to addressing this…
Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations
Alexander Korn, Lea Zaruchas, Chetan Arora +4
Large Language Models, particularly decoder-only generative models such as GPT, are increasingly used to automate Software Engineering tasks. These models are primarily guided thro…