Fr. 81.00

Product-Focused Software Process Improvement. Industry, Doctoral-Symposium, Tutorial, and Workshop Papers - 26th International Conference, PROFES 2025, Salerno, Italy, December 1–3, 2025, Proceedings

Englisch, Deutsch · Taschenbuch

Erscheint am 01.01.2026

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This book constitutes the refereed proceedings of the 26th International Conference on Product-Focused Software Process Improvement, PROFES 2025, held in Salerno, Italy, during December 1–3, 2025.

The 9 Industry papers, 19 Workshop papers, 1 Doctoral symposium paper and 1 Tutorial paper presented in this volume were carefully reviewed and selected from 101 submissions. The contributions were organized in topical sections as follows: Industry papers; Doctoral symposium papers; Tutorial papers; First International Workshop on Analytics for Software Product and Process Improvement (A-SPPI 2025); First International Workshop on Promoting and Dealing with Advanced Technology in Healthcare (PATH 2025); and First International Workshop on Quality Evaluation of ML-based Software Systems (QUEMALES 2025).


Inhaltsverzeichnis

Industry Papers.- Obtaining Test Data in the Estonian e-Government System: Challenges and Improvement Potential.- From C to Rust – How Feasible is it?.- Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data.- Software Testing Education and Industry Needs - Report from ENACTEST EU Project.- Enhancing Regulation-Adherent Requirement Engineering with Contextual AI: An Industrial Study.- A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings.- Developing an Agile Process for Quantum Annealing Applications: An Industrial Experience.- Hindrances and Strengths in Software Delivery: Insights from a Developer Experience Study at the Swedish Transport Administration.- STRIPID: Simulation Test Ranking and Interactive Performance Inspection for PID Controllers.- Doctoral Symposium Papers.- Development of a Model-Driven DevOps Solution Based on Context-Engineered LLM Code Generation: PROFES Doctoral Symposium.- Tutorial Papers.- Introduction to Quantum Software Engineering.- 1st International Workshop on Analytics for Software Product and Process Improvement (A-SPPI 2025).- Object-Centric Analysis of XES Event Logs: Integrating OCED Modeling with SPARQL Queries.- User Engagement and Adaptive Optimisation in Renewable Energy Communities.- Automated Classification of ADS Disengagements Using Convolutional Neural Networks.- Toward Greener Background Processes: Measuring Energy Cost of Autosave Feature.- Key Factors in Data-Driven Green Lighting: An Empirical Investigation.- AppChallenge: Integrating Software Engineering, Business Development, and Coaching in Challenge- Based Learning.- 1st International Workshop on Promoting and Dealing with Advanced Technology in Healthcare (PATH 2025).- RespirAction: Remote Respiratory Rehabilitation Supported by Innovative Sensor Technology.- SENTIRE: An Intelligent System for Hearing Protection and Human-Machine Interaction in Industrial Environments.- Agility Under Fire: What Healthcare Can Learn from Crisis-driven Accelerated Technology Development and Adoption.- TED – The intElligent Doctor at your Home.- AI-driven Intervention with Wearable Remote Monitoring Devices for Human Health - Response to Action: Telerehabilitation Smoking Cessation Program Assisted byWearable Remote Monitoring Devices.- Structured Clinical Reasoning in AI: Comparing LLMs and Curated, Ontology-Grounded Multi-Agent Systems.- Optimizing Smart Hospitals with deep learning and Indoor Navigation: The Shkodra Case Study.- Federated Learning for Pre-operative Detection of Triple-Negative Breast Cancer from Multiparametric MRI: Preliminary Results.- 1st International Workshop on Quality Evaluation of ML-based Software Systems (QUEMALES 2025).- Alignment and complementarity between AI-FSM and ASPICE MLE: findings from the assessment of the SAFEXPLAIN Railway Demo.- A Survey of Existing Standards Addressing AI-based Technologies.- Chatting about Flaky Tests with Standard LLMs. An Empirical Exploration.- Critical Analysis of ASPICE® 4.0 Machine Learning Engineering Process Requirements.- Software Product Quality: Some Thoughts about its Evolution and Perspectives in the AI Years.

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