- 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.