Susi / Hess | Requirements Engineering: Foundation for Software Quality | Buch | 978-3-031-88530-3 | sack.de

Buch, Englisch, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g

Reihe: Lecture Notes in Computer Science

Susi / Hess

Requirements Engineering: Foundation for Software Quality

31st International Working Conference, REFSQ 2025, Barcelona, Spain, April 7-10, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-031-88530-3
Verlag: Springer Nature Switzerland

31st International Working Conference, REFSQ 2025, Barcelona, Spain, April 7-10, 2025, Proceedings

Buch, Englisch, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-031-88530-3
Verlag: Springer Nature Switzerland


This book constitutes the refereed proceedings of the 31st International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2025, held in Barcelona, Spain, during April 7–10, 2025.


The 21 full papers and 8 short papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: Responsible RE; Crowd and Large-Scale RE; Requirements Modeling; Requirements Elicitation and Analysis; Participatory RE; RE for Safety-critical and Autonomous Systems; and Requirements Quality Assurance.

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.- Responsible RE.

.- Towards a Value-Complemented Monitoring Framework for Humans in Cyber-Physical Systems.

.- Veracity Debt: Practitioners Voices on Managing Software Requirements concerning Veracity.

.- Towards Ethic-Focused Requirements Engineering based on Guidelines and Critical Systems Heuristics: A Roadmap based on the Case of Automated Vehicles.

.- Crowd and Large-Scale RE.

.- Refining and validating change requests from a crowd to derive requirements.

.- Do Users’ Explainability Needs in Software Change with Mood?.

.- Exploring and characterizing Ad-hoc Requirements - A case study at a large-scale systems provider.

.- FeReRe: Feedback Requirements Relation using Large Language Models.

.- How Does Users’ App Knowledge Influence the Preferred Level of Detail and Format of Software Explanations?.

.- How Effectively Do LLMs Extract Feature-Sentiment Pairs from App Reviews?.

.- Requirements Modeling.

.- An Interactive Tool for Goal Model Construction using a Knowledge Graph.

.- Generating Domain Models with LLMs using Instruction Tuning.

.- A systematic literature review of KAOS extensions.

.- LACE-HC: A Lightweight Attention-Based Classifier for Efficient Hierarchical Classification of Software Requirements.

.- Requirements Representations in Machine Learning-based Automotive Perception Systems Development for Multi-Party Collaboration.

.- Requirements Elicitation and Analysis.

.- Automatic Prompt Engineering: the Case of Requirements Classification.

.- Exploring Generative Pretrained Transformers to support Sustainability Effect Identification.

.- Prompt Me: Intelligent Software Agent for Requirements Engineering - A Vision Paper.

.- Detecting Redundancies between User Stories with Graphs and Large Language Models.

.- Leveraging Requirements Elicitation through Software Requirement Patterns and LLMs.

.- ReqRAG: Enhancing Software Release Management through Retrieval-Augmented LLMs: An Industrial Study.

.- Participatory RE.

.- The Potential of Citizen Platforms for Requirements Engineering of Large Socio-Technical Software Systems.

.- End-user Requirements Modelling: an Experience Report from Digital Agriculture.

.- Requirements Elicitation Workshops Using the Six Thinking Hats Creativity Technique.

.- RE for Safety-critical and Autonomous Systems.

.- Extending Behavior Trees for Robotic Missions with Quality Requirements.

.- Sharper Specs for Smarter Drones: Formalising Requirements with FRET.

.- Eliciting Explainability Requirements for Safety-Critical Systems: A Nuclear Case Study.

.- Requirements Quality Assurance.

.- Requirements Traceability Link Recovery via Retrieval-Augmented Generation.

.- Towards Connecting Requirements with Developer Artifacts in a Local Context.

.- Adaptive Resolution of Requirements Conflicts in Robot Mission Planning.



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