Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers 25th International Conference, PROFES 2024, Tartu, Estonia, December 2–4, 2024, Proceedings

This book constitutes the refereed proceedings of the 25th International Conference on Product-Focused Software Process Improvement, PROFES 2024, held in Tartu, Estonia, during December 2–4, 2024.
The 9 Industry papers, 2 Workshop papers, 2 Doctoral symposium papers and 1 Keynote paper presented in this volume were carefully reviewed and selected from 85 submissions. The contributions were organized in topical sections as follows: Industry Papers; Third Workshop on Engineering Processes and Practices for Quantum Software (PPQS 2024); and Doctoral Symposium Papers.

.- Industry Papers. 

.- Strategies and Challenges in Cloud-to-Cloud Migration Using Infrastructure as Code.

.- Benchmarking Ongoing Development Output in Real-life Software Projects.

.- A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development.

.- AI-based Automotive Test Case Generation: An Action Research Study on Integration of Generative AI into Test Automation Frameworks.

.- AI Act High-Risk Requirements Readiness: Industrial Perspectives and Case Company Insights.

.- Adopting Continuous Deployment in a Public Administration Project: An Industrial Case Study.

.- An Automated Approach to Identify Source Code Files Affected by Architectural Technical Debt.

.- On the Derivation of Quality Assurance Plans from Process Model Descriptions.

.- Evaluating AI-based Code Segmentation for ABAP Programs in an Industrial Use Case.

.- (PPQS 2024)- 3rd Workshop on Engineering Processes and Practices for Quantum Software. 

.- Quantum Algorithms: Application and Feasibility.

.- Towards Solving Short-Term Generation Scheduling Problems on Quantum Computers.

.- Doctoral Symposium Papers. 

.- Generating and Evolving Real-life like Synthetic Data for E-Government Services without Using Real-world Raw Data.

.- A Data-Driven Approach to Optimize Internal Software Quality and Customer Value Delivery.