Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers
Springer International Publishing (Verlag)
9783031783913 (ISBN)
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.
| Erscheinungsdatum | 28.11.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XII, 187 p. 39 illus., 33 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Schlagworte | Human Factors • machine learning • Software Design • software evolution • Software Process • software process improvement • Software Product • Software Quality • Software Verification and Validation |
| ISBN-13 | 9783031783913 / 9783031783913 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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