Buch, Englisch, 468 Seiten, Format (B × H): 155 mm x 235 mm
18th International Conference, QUATIC 2025, Lisbon, Portugal, September 3-5, 2025, Proceedings, Part I
Buch, Englisch, 468 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-20630-5
Verlag: Springer Nature Switzerland AG
This book constitutes the proceedings of the 18th International Conference on the Quality of Information and Communications Technology, QUATIC 2025, held in Lisbon, Portugal, during September 3–5, 2025.
The 40 full papers and 12 short papers included in this book were carefully reviewed and selected from 92 submissions.
The conference received numerous submissions across a broad range of software quality and engineering topics, organized into nine thematic tracks: Requirements Engineering; Cloud Computing and System Architecture; Verification, Validation, and Testing; Evolution and Maintenance; Process Improvement and Analytics; Security and Privacy; Green and Sustainable Computing; Human, Ethical and Social Aspects; and Quality in the Age of AI. These tracks reflect the conference’s focus on contemporary and emerging technologies and challenges in software quality.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- Smart Systems and Sustainability.
.- An agent design pattern catalogue for the entanglement of Digital Twins.
.- The Energy Consumption of the Object Pool Pattern in C#: A Case Study.
.- Towards an Architectural Perspective for Sustainability: Bundle the Needs from Industry.
.- AI-Driven eGuide Systems for Smart Healthcare Navigation and Resource Optimization.
.- Narrating Quality: Participatory Elicitation of Non-Functional Requirements with LEGO® and Design Thinking.
.- Architecting Cyber Digital Twins for Attack Detection: An Urban Mobility Case Study.
.- Requirements Engineering.
.- Ambiguous Word Dictionary for Requirements Documents.
.- Designing ChatGPT Prompts for Impact Analysis in Requirements Documents.
.- Requirements Engineering for Digital Twins: a Cross-Domain Systematic Literature Review .
.- A feasibility study on the automated generation of acceptance criteria for user stories using LLMs.
.- Using Large Language Models and Few-Shot Learning to Classify Natural Language Requirements: An Experimental Study.
.- Can Engineered GenAI Prompts Help Students Write Better Software Requirements?.
.- Process Improvement.
.- Labor Market Supply Through Open-Source Projects.
.- Improving Locators Quality for E2E Testing through Gamification with TestQuest.
.- Show Your Title! A Scoping Review on Verbalization in Software Engineering with LLM-Assisted Screening.
.- Empowering LLMs for Process Mining: The Role of Retrieval-Augmented Generation.
.- Emotional Expressions in Native vs. English Speech: A Study in Affective and Linguistic Computing.
.- Inductive Logic Programming for Pose Estimation Data Acquisition .
.- Software Testing & Test Automation with
AI.
.- Mock Once, Test Twice: Reusing Mocks for Integration Testing in Microservice Architecture.
.- Generating test code for web applications using LLM.
.- A Rule-based Approach for the Generation of Efficient Workloads in Load Testing.
.- An Analysis of the Test Repair Capability of Large Language Models in Android GUI Testing.
.- AdapTSoS: Adaptive Testing of Systems of Systems .
.- Security and Threat Detection.
.- Intelligent DNS Threat Detection: Integrating RPZ, DGA Detection, and AI classification in a Bind9 server.
.- On the Edge of Security: Threat-Driven Pentest of KubeEdge with ESSecA.
.- Quality evaluation of a Cyber Threat Intelligence Sharing Platform for critical infrastructures .
.- Approach for improving automatic pothole detection .
.- On the capacity of Technical Debt to indicate security issues in open-source software products.
.- A Systematic Cross-Analysis of Privacy Risks in mHealth Android Applications in Vietnam.
.-
Human-Centric & Ethical Aspects of Software & Systems.
.- Ensuring Quality of EEG Data Sharing for the Development of Human-Centered Machine Learning and Artificial Intelligence Systems.
.- SkillMORTEX: An Innovation Ecosystem for Monitoring Digital Skill Dynamics Using Stack Overflow Data.
.- Elusive Quality: Unpacking Ambiguity in Public ICT Tender Requirements.
.- Dynamic Solutions for Evaluating Non-Technical Factors in Software Development Team Productivity.
.- Identifying Ethical Factors, Issues and Solutions in Online Software Experimentation.
.- Predicting Information Security Perception in Digital Workplaces in Brazil: A Human-Centric Approach Using PLS-SEM and PLS-Predict.
.- Large Language Models in Software Engineering.
.- Sentiment Analysis Using Large Language Models: A Systematic Mapping Study in Software Engineering.
.- Quality of Machine Translation for Human Phenotype Ontology terms into Portuguese.
.- What Prompted That? A Structured Approach to Prompt Inversion.
.- Fine-Tuning LLMs for Secure Prompt-to-API Code Generation in Domain-Specific Environments.
.- Cirrus++: Scalable 2D Annotations for Multi-Modal AD Research.
.- Beyond Benchmarks: A Multivocal Literature Review of User-Centered Quality Assessment for Generative AI-enabled Software Products.
.-
Measurement, Metrics and Productivity.
.- Exploring the Quality Factors of the IT Service Desk: A Case Study.
.- Leveraging Integrated IT Metrics: Real-World Application and Validation of Codee in Enterprise Environment.
.- A Replicated Study of DL-based Software Size and Effort Prediction with ML Methods.
.- Maintainability Definition, Scoping, and Measurement for Machine Learning Systems.
.- Exploring the Impact of Commit Burstiness on Software Quality.
.- Vulnerability Detection & Code Analysis.
.- Few-shot learning for security bug report identification.
.- An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software.
.- Decoding Graph Neural Network Decisions for Source Code Vulnerability Detection.
.- To be, or not to be expert for a learning-based vulnerability detection method, this is the question.
.- Classifying industrial bugs to advance scriptless test oracles.
.- Software Engineering Doctoral Symposium.
.- Modular Cooperative Platform for Firmware Development.
.- EFAIR: An Explainable and Federated AI Framework for Performance Evaluation in ERP-Integrated HCM.
.- LLM-Guided Metamorphic Testing: A QA-Taxonomy Driven Approach to Automated Test-Case Generation.
