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Systematic Literature Mapping of User Story Research
IEEE Access, 2022 User stories are a widely used artifact in Agile software development. Currently, only a limited number of secondary studies have reviewed the research on the user story technique.
Anis R. Amna, Geert Poels
doaj +4 more sources
Cosmic User Story Standard [PDF]
International Conference on Agile Software Development, 2018 AbstractUser Story is a technique widely used in Agile development. It is characterised as short and high level descriptions of required functionality, written in customer language during the very early requirement gathering stage and containing just enough information to produce the estimated implementation effort.
Miguel Ecar +2 more
semanticscholar +4 more sources
A Framework To Improve User Story Sets Through Collaboration [PDF]
arXiv, 2023 Agile methodologies have become increasingly popular in recent years. Due to its inherent nature, agile methodologies involve stakeholders with a wide range of expertise and require interaction between them, relying on collaboration and customer involvement.
S. Köse, Fatma Aydemir
arxiv +3 more sources
ChatGPT as a tool for User Story Quality Evaluation: Trustworthy Out of the Box? [PDF]
arXiv, 2023 In Agile software development, user stories play a vital role in capturing and conveying end-user needs, prioritizing features, and facilitating communication and collaboration within development teams. However, automated methods for evaluating user stories require training in NLP tools and can be time-consuming to develop and integrate.
Krishna Ronanki +2 more
arxiv +3 more sources
A Characterization of Negative User Stories [PDF]
International Conferences on Software Engineering and Knowledge Engineering, 2016 In the context of an agile project, negative interactions are addressed by equipping the 'conventional' positive user story engineering process with a number of conceptual models, including those for negative user story and negative role. The challenges inherent in eliciting negative uses, negative roles, and negative user stories are highlighted.
Pankaj Kamthan, Nazlie Shahmir
openalex +2 more sources
LLM-based agents for automating the enhancement of user story quality: An early report [PDF]
arXivIn 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.
Zheying Zhang +4 more
arxiv +2 more sources
User Story Tutor (UST) to Support Agile Software Developers [PDF]
Proceedings of the 16th International Conference on Computer
Supported Education (CSEDU), Volume 2, 2024, 51-62User Stories record what must be built in projects that use agile practices. User Stories serve both to estimate effort, generally measured in Story Points, and to plan what should be done in a Sprint. Therefore, it is essential to train software engineers on how to create simple, easily readable, and comprehensive User Stories.
Giseldo S. Neo +4 more
arxiv +2 more sources
JUTI: Jurnal Ilmiah Teknologi Informasi, 2011 Software estimation is an area of software engineering concerned with the identification, classification and measurement of features of software that affect the cost of developing and sustaining computer programs [19].
Ridi Ferdiana +3 more
doaj +2 more sources
Exploring LLMs Impact on Student-Created User Stories and Acceptance Testing in Software Development [PDF]
arXivIn Agile software development methodology, a user story describes a new feature or functionality from an end user's perspective. The user story details may also incorporate acceptance testing criteria, which can be developed through negotiation with users.
Allan Brockenbrough +2 more
arxiv +4 more sources
Automated User Story Generation with Test Case Specification Using Large Language Model [PDF]
arXiv.orgModern Software Engineering era is moving fast with the assistance of artificial intelligence (AI), especially Large Language Models (LLM). Researchers have already started automating many parts of the software development workflow.
Tajmilur Rahman, Yuecai Zhu
openalex +2 more sources