000 | 02884nam a2200301Ia 4500 | ||
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000 | 03261nam a22003255i 4500 | ||
001 | 978-3-031-36060-2 | ||
003 | DE-He213 | ||
005 | 20240319121111.0 | ||
007 | cr nn 008mamaa | ||
008 | 231005s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031360602 _9978-3-031-36060-2 |
||
082 | _a5.1 | ||
245 |
_aSoftware Ecosystems _cedited by Tom Mens, Coen De Roover, Anthony Cleve. _h[electronic resource] : |
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250 | _a1st ed. 2023. | ||
260 |
_aCham _bSpringer International Publishing _c2023 |
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300 |
_aXXII, 314 p. 66 illus., 45 illus. in color. _bonline resource. |
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520 | _aThis 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. | ||
650 |
_aSoftware engineering _938023 |
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650 |
_aSoftware engineering. _938023 |
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650 |
_aSoftware Engineering. _938024 |
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650 |
_aSoftware Management. _938025 |
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700 |
_aCleve, Anthony. _938026 |
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700 |
_aDe Roover, Coen. _938027 |
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700 |
_aMens, Tom. _938028 |
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856 | _uhttps://doi.org/10.1007/978-3-031-36060-2 | ||
942 |
_cEBK _2ddc |
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999 |
_c15759 _d15759 |