Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers

Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers

25th International Conference, PROFES 2024, Tartu, Estonia, December 2-4, 2024, Proceedings

Pfahl, Dietmar; Gonzalez Huerta, Javier; Kluender, Jil; Anwar, Hina

Springer International Publishing AG

12/2024

177

Mole

9783031783913

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.
Human Factors;Machine Learning;Software Design;Software Evolution;Software Process;Software Process Improvement;Software Product;Software Quality;Software Verification and Validation