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Software Ecosystems

Tooling and Analytics

  • Book
  • © 2023

Overview

Editors:
  1. Tom Mens

    1. Dept. Informatique, FS, University of Mons, Mons, Belgium

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  2. Coen De Roover

    1. Software Languages Lab, Vrije Universiteit Brussel, Brussels, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Anthony Cleve

    1. PReCISE research center, Namur Digital Institute (NaDI), University of Namur, Namur, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  • Highlights advances in technological domains such as collaborative SWE, library reuse, sentiment analysis, and ML
  • Covers topics related to SW ecosystem mining, analysis, modeling, evolution, and automation
  • Aimed at researchers and practitioners interested in analyses of, and tooling for, SW ecosystems

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About this book

This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. 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. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software.

This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art.

Chapter 2 The Software Heritage Open Science Ecosystem is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxii
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  2. An Introduction to Software Ecosystems

    • Tom Mens, Coen De Roover
    Pages 1-29

  3. Software Ecosystem Representations

    1. Front Matter

      Pages 31-31
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    2. The Software Heritage Open Science Ecosystem

      • Roberto Di Cosmo, Stefano Zacchiroli
      Pages 33-61Open Access

    3. Promises and Perils of Mining Software Package Ecosystem Data

      • Raula Gaikovina Kula, Katsuro Inoue, Christoph Treude
      Pages 63-81

  4. Analyzing Software Ecosystems

    1. Front Matter

      Pages 83-83
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    2. Mining for Software Library Usage Patterns Within an Ecosystem: Are We There Yet?

      • Tien N. Nguyen
      Pages 85-103

    3. Emotion Analysis in Software Ecosystems

      • Nicole Novielli, Alexander Serebrenik
      Pages 105-127

  5. Evolution Within Software Ecosystems

    1. Front Matter

      Pages 129-129
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    2. Analyzing Variant Forks of Software Repositories from Social Coding Platforms

      • John Businge, Mehrdad Abdi, Serge Demeyer
      Pages 131-152

    3. Supporting Collateral Evolution in Software Ecosystems

      • Zhou Yang, Bowen Xu, David Lo
      Pages 153-179

  6. Software Automation Ecosystems

    1. Front Matter

      Pages 181-181
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    2. The GitHub Development Workflow Automation Ecosystems

      • Mairieli Wessel, Tom Mens, Alexandre Decan, Pooya Rostami Mazrae
      Pages 183-214

    3. Infrastructure-as-Code Ecosystems

      • Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover
      Pages 215-245

  7. Model-Centered Software Ecosystems

    1. Front Matter

      Pages 247-247
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    2. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision

      • Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio
      Pages 249-279

    3. Mining, Analyzing, and Evolving Data-Intensive Software Ecosystems

      • Csaba Nagy, Michele Lanza, Anthony Cleve
      Pages 281-314
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Editors and Affiliations

  • Dept. Informatique, FS, University of Mons, Mons, Belgium

    Tom Mens

  • Software Languages Lab, Vrije Universiteit Brussel, Brussels, Belgium

    Coen De Roover

  • PReCISE research center, Namur Digital Institute (NaDI), University of Namur, Namur, Belgium

    Anthony Cleve

About the editors

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.

Bibliographic Information

  • Book Title: Software Ecosystems

  • Book Subtitle: Tooling and Analytics

  • Editors: Tom Mens, Coen De Roover, Anthony Cleve

  • DOI: https://doi.org/10.1007/978-3-031-36060-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-36059-6Published: 06 October 2023

  • Softcover ISBN: 978-3-031-36062-6Published: 06 October 2024

  • eBook ISBN: 978-3-031-36060-2Published: 05 October 2023

  • Edition Number: 1

  • Number of Pages: XXII, 314

  • Number of Illustrations: 21 b/w illustrations, 45 illustrations in colour

  • Topics: Software Engineering/Programming and Operating Systems, Software Management

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