000 02884nam a2200301Ia 4500
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] :
250 _a1st ed. 2023.
260 _aCham
_bSpringer International Publishing
_c2023
300 _aXXII, 314 p. 66 illus., 45 illus. in color.
_bonline resource.
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
650 _aSoftware engineering.
_938023
650 _aSoftware Engineering.
_938024
650 _aSoftware Management.
_938025
700 _aCleve, Anthony.
_938026
700 _aDe Roover, Coen.
_938027
700 _aMens, Tom.
_938028
856 _uhttps://doi.org/10.1007/978-3-031-36060-2
942 _cEBK
_2ddc
999 _c15759
_d15759