Mar 2024· International Conference on Agile Software Development· pp. 117-126· 48 citations· ⚡ 4 influential· 26 references
Computer Science
TL;DR
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Abstract
In agile software development, maintaining high-quality user stories is crucial, but also challenging. This study explores the use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams. We developed a reference model for an Autonomous LLM-based Agent System and implemented it at the company. The quality of user stories in the study and the effectiveness of these agents for user story quality improvement was assessed by 11 participants across six agile teams. Our findings demonstrate the potential of LLMs in improving user story quality, contributing to the research on AI role in agile development, and providing a practical example of the transformative impact of AI in an industry setting.
A text prediction model is created to assist in drafting user stories, aiming to reduce writing errors and accelerate the specification process, and confirmed that software practitioners are interested in adopting text generation for user stories.
C. D. Dos Santos, Kévin Bouchard· International Conference on...· 1 citation
SoftBoard is presented, a web-based tool for the creation and evaluation of low-fidelity prototypes in the context of MVP development that integrates a prototype editor, team-based project organization, and a multi-agent system based on large language models that supports requirements elicitation and refinement, automa...
Gabriel Scapim, G. C. L. Leal, G. Guerino· arXiv.org· 0 citations
TPACK-guided scaffolding can align AI affordances with pedagogical goals and RE content, offering design guidance for responsible AI integration in RE education.
Hansika Ekanayake Mudiyanselage, Rohan Jai Dharmaraj, Malik Abdul Sami et al.· arXiv.org· 0 citations
GenAI tools are particularly valuable during requirements elicitation and specification, contributing to improved productivity and reduced operational effort, especially when addressing Functional Requirements (FRs).
J. V. Ferreira, C. Portela, S. Oliveira· Anais do XI Workshop sobre A...· 0 citations
This research unpacks the problem-solving strategies, collaboration patterns, and agency shifts underlying human–GenAI collaboration in software engineering education using a mixed-methods approach.
Sonika Pal· Proceedings of the 2026 ACM...· 0 citations
The proposal explores how the introduction of game-like elements—such as badge systems, avatars, visual goal tracking, and rewards for completed milestones—can boost team engagement and motivation.
Fernando Perotti· Revista de Estudos Interdisc...· 0 citations
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