• Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 11/2024

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

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54,98 €
52,23 €
AGGIUNGI AL CARRELLO
TRAMA
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.

SOMMARIO
.- 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.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783031783913
  • Collana: Lecture Notes in Computer Science
  • Dimensioni: 235 x 155 mm
  • Formato: Brossura
  • Illustration Notes: XII, 187 p. 39 illus., 33 illus. in color.
  • Pagine Arabe: 187
  • Pagine Romane: xii