Software Ecosystems

Tooling and Analytics

Häftad, Engelska, 2024

AvTom Mens,Coen De Roover,Anthony Cleve,Coen de Roover

2 569 kr

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The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings.The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems.

Produktinformation

Utgivningsdatum2024-10-06
Mått155 x 235 x 19 mm
Vikt511 g
FormatHäftad
SpråkEngelska
Antal sidor314
FörlagSpringer International Publishing AG
ISBN9783031360626

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Programvaruutveckling inom Data och IT

Tom Mens is a full professor and director of the INFORTECH Research Institute and of the Software Engineering Lab at the University of Mons in Belgium. His main research interests are in software evolution, software ecosystems, software analytics and automated software engineering.Coen de Roover is a professor at the Software Languages Lab of the Vrije Universiteit Brussel in Belgium. The central theme of his research is the design of program analyses, and their application to problems in software quality.Anthony Cleve is a full professor and member of the PReCISE research center and of the Namur Digital Institute at University of Namur in Belgium. His main research interests include information system maintenance and evolution, software and data reverse engineering, program analysis and transformation, and self-adaptive and context-aware systems.

- 1. An Introduction to Software Ecosystems. - Part I Software Ecosystem Representations. - 2. The Software Heritage Open Science Ecosystem. - 3. Promises and Perils of Mining Software Package Ecosystem Data. - Part II Analyzing Software Ecosystems. - 4. Mining for Software Library Usage Patterns Within an Ecosystem: Are We There Yet?. - 5. Emotion Analysis in Software Ecosystems. - Part III Evolution Within Software Ecosystems. - 6. Analyzing Variant Forks of Software Repositories from Social Coding Platforms. - 7. Supporting Collateral Evolution in Software Ecosystems. - Part IV Software Automation Ecosystems. - 8. The GitHub Development Workflow Automation Ecosystems. - 9. Infrastructure-as-Code Ecosystems. - Part V Model-Centered Software Ecosystems. - 10. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision. - 11. Mining,Analyzing, and Evolving Data-Intensive Software Ecosystems.