LEADER 03431nam 22005175 450 001 9910746954103321 005 20231005185349.0 010 $a3-031-36060-5 024 7 $a10.1007/978-3-031-36060-2 035 $a(MiAaPQ)EBC30773631 035 $a(CKB)28465024400041 035 $a(Au-PeEL)EBL30773631 035 $a(DE-He213)978-3-031-36060-2 035 $a(PPN)272919306 035 $a(EXLCZ)9928465024400041 100 $a20231005d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSoftware Ecosystems $eTooling and Analytics /$fedited by Tom Mens, Coen De Roover, Anthony Cleve 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (321 pages) 311 $a9783031360596 330 $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. 606 $aSoftware engineering 606 $aSoftware engineering$xManagement 606 $aSoftware Engineering 606 $aSoftware Management 615 0$aSoftware engineering. 615 0$aSoftware engineering$xManagement. 615 14$aSoftware Engineering. 615 24$aSoftware Management. 676 $a005.1 700 $aMens$b Tom$0858777 701 $aDe Roover$b Coen$01431468 701 $aCleve$b Anthony$0983158 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746954103321 996 $aSoftware Ecosystems$93573769 997 $aUNINA