activity
20232026
most citedLLM-based agents for automating the enhancement of user story quality: An early report

41 citations · 93 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.SE2024

TimeLess: A Vision for the Next Generation of Software Development

Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku +16

Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams an…

cs.SE2024★ 1 cited

Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants

Beatriz Cabrero-Daniel, Tomas Herda, Victoria Pichler +1

This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting th…

cs.SE2024★ 33 cited

Generating Test Scenarios from NL Requirements using Retrieval-Augmented LLMs: An Industrial Study

Chetan Arora, Tomas Herda, Verena Homm

Test scenarios are specific instances of test cases that describe actions to validate a particular software functionality. By outlining the conditions under which the software oper…

cs.SE2024★ 2 cited

Prioritizing Software Requirements Using Large Language Models

Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem +3

Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generati…

cs.SE2024★ 41 cited

LLM-based agents for automating the enhancement of user story quality: An early report

Zheying Zhang, Maruf Rayhan, Tomas Herda +2

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…