E-Book, Englisch, 451 Seiten, eBook
Bosch / Carlson / Holmström Olsson Accelerating Digital Transformation
1. Auflage 2022
ISBN: 978-3-031-10873-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
10 Years of Software Center
E-Book, Englisch, 451 Seiten, eBook
ISBN: 978-3-031-10873-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Part I: Continuous Delivery.- Introduction to the Continuous Delivery Theme.- 1. Climbing the Stairway to Heaven.- 2. Modeling Continuous Integration Practice Differences in Industry Software Development.- 3. Efficient and Effective Exploratory Testing of Large-Scale Software Systems.- Part II: Continuous Architecture.- Introduction to the Continuous Architecture Theme.- 4. Technical Debt Tracking: Current State of Practice: A Survey and Multiple Case Study in 15 Large Organizations.- 5. Expectations and Challenges from Scaling Agile in Mechatronics-Driven Companies – A Comparative Case Study.- 6. Lightweight Consistency Checking for Agile Model-Based Development in Practice.- Part III: Metrics.- Introduction to the Metrics Theme.- 7. MESRAM – A Method for Assessing Robustness of Measurement Programs in Large Software Development Organizations and Its Industrial Evaluation.- 8. Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning.-9. SimSAX: A Measure of Project Similarity Based on Symbolic Approximation Method and Software Defect Inflow.- Part IV: Customer Data and Ecosystem Driven Development.- Introduction to the Customer Data and Ecosystem-Driven Development Theme.- 10. Requirements Engineering Challenges and Practices in Large-Scale Agile System Development.- 11. Experimentation for Business-to-Business Mission-Critical Systems: A Case Study.- 12. The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale.- Part V: AI Engineering.- Introduction to the AI Engineering Theme.- 13. Engineering AI Systems.