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...

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書誌詳細
団体著者: SpringerLink (Online service)
その他の著者: Pfahl, Dietmar (編集者), Gonzalez Huerta, Javier (編集者), Klünder, Jil (編集者), Anwar, Hina (編集者)
フォーマット: 電子媒体 eBook
言語:英語
出版事項: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
版:1st ed. 2025.
シリーズ:Lecture Notes in Computer Science, 15453
主題:
オンライン・アクセス:https://doi.org/10.1007/978-3-031-78392-0
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目次:
  • -- 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.