Product-focused software process imp...
PROFES (Conference) (2024 :)

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  • Product-focused software process improvement. industry-, workshop-, and doctoral symposium papers = 25th International Conference, PROFES 2024, Tartu, Estonia, December 2-4, 2024 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Product-focused software process improvement. industry-, workshop-, and doctoral symposium papers/ edited by Dietmar Pfahl ... [et al.].
    Reminder of title: 25th International Conference, PROFES 2024, Tartu, Estonia, December 2-4, 2024 : proceedings /
    remainder title: PROFES 2024
    other author: Pfahl, Dietmar.
    corporate name: PROFES (Conference)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xii, 187 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer Nature eBook
    Subject: Software engineering - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-78392-0
    ISBN: 9783031783920
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