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
.- 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.
.- 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.