8 citations · 20 across the 12 of their papers we have counts for
13 papers
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…
A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
Domenico Amalfitano, Andreas Metzger, Marco Autili +8
Generative AI (GenAI) is rapidly transforming software engineering (SE) practices, influencing how SE processes are executed, as well as how software systems are developed, operate…
Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
Hugo Villamizar, Jannik Fischbach, Alexander Korn +2
Developers now routinely interact with large language models (LLMs) to support a range of software engineering (SE) tasks. This prominent role positions prompts as potential SE art…
From Requirements to Code: Understanding Developer Practices in LLM-Assisted Software Engineering
Jonathan Ullrich, Matthias Koch, Andreas Vogelsang
With the advent of generative LLMs and their advanced code generation capabilities, some people already envision the end of traditional software engineering, as LLMs may be able to…
LLMREI: Automating Requirements Elicitation Interviews with LLMs
Alexander Korn, Samuel Gorsch, Andreas Vogelsang
Requirements elicitation interviews are crucial for gathering system requirements but heavily depend on skilled analysts, making them resource-intensive, susceptible to human biase…
On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
Andreas Vogelsang, Alexander Korn, Giovanna Broccia +3
Large language models (LLMs) are increasingly used to generate software artifacts, such as source code, tests, and trace links. Requirements play a central role in shaping the inpu…
Natural Language Processing for Requirements Traceability
Jin L. C. Guo, Jan-Philipp Steghöfer, Andreas Vogelsang +1
Traceability, the ability to trace relevant software artifacts to support reasoning about the quality of the software and its development process, plays a crucial role in requireme…
Requirements Engineering for Research Software: A Vision
Adrian Bajraktari, Michelle Binder, Andreas Vogelsang
Modern science is relying on software more than ever. The behavior and outcomes of this software shape the scientific and public discourse on important topics like climate change,…
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline
Andreas Vogelsang, Jannik Fischbach
Large Language Models (LLMs) are the cornerstone in automating Requirements Engineering (RE) tasks, underpinning recent advancements in the field. Their pre-trained comprehension o…