5 papers · 1 filter
Recovering Software Architecture Intent from Historical Work Items using Generative AI: A Mixed-Methods Industry Case Study
Dominik Storck, Tobias Eisenreich, Stefan Wagner
Software architecture is often only partially captured in code, while much of the design intent lives in evolving project artifacts. In agile projects, work items, user stories, an…
Automating Domain-Driven Design: Experience with a Prompting Framework
Tobias Eisenreich, Husein Jusic, Stefan Wagner
Domain-driven design (DDD) is a powerful design technique for architecting complex software systems. This paper introduces a prompting framework that automates core DDD activities…
Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
Ludwig Felder, Tobias Eisenreich, Mahsa Fischer +2
Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers. While adoption rates in the industry are rising, the underlying factors influen…
Leveraging Large Language Models for Use Case Model Generation from Software Requirements
Tobias Eisenreich, Nicholas Friedlaender, Stefan Wagner
Use case modeling employs user-centered scenarios to outline system requirements. These help to achieve consensus among relevant stakeholders. Because the manual creation of use ca…
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
Mohammad Kasra Habib, Daniel Graziotin, Stefan Wagner
Requirements elicitation and specification remains a labor-intensive, manual process prone to inconsistencies and gaps, presenting a significant challenge in modern software engine…