Titel: Software Configuration Management Using Vesta (Monographs in Computer Science)
Verlag: Springer
Erscheinungsjahr: 2011
Sprache: Englisch
ISBN-10: 1441934723
ISBN-13: 9781441934727
Einband: Softcover
Zustand: New

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Inhaltsangabe

This monograph, and accompanying open-source software Vesta, addresses two core problems in developing large software projects: versioning and building. In order to develop and sustain automated, scalable "software configuration management (SCM) systems," software systems engineers need to understand how large software code bases can be effectively managed and evolved. Using a well-known open-source software prototype system (Vesta developed at Digital and Compaq Systems Research Lab), the authors meticulously assess, develop, and demonstrate key concepts and methods to achieve such evolvable and scalable software systems. The concepts, lessons, and executable code allow researchers to develop a deeper understanding of the problems, and solution domains possible, for large-scale software construction practices. This book is primarily intended for researchers in the areas of software engineering and specialists in the construction of software development tools. In addition, those responsible for designing and deploying configuration management solutions for large software systems will also find it useful.

�ber die Autorin bzw. den Autor

This monograph, and accompanying open-source software Vesta, addresses two core problems in developing large software projects: 1) versioning and 2) building. In order to develop and sustain automated, scalable "software configuration management (SCM) systems," software systems engineers need to understand how large software code bases can be effectively managed and evolved. Using a well-known open-source software prototype system (Vesta developed at Digital and Compaq Systems Research Lab), the authors meticulously assess, develop, and demonstrate key concepts and methods to achieve such evolvable and scalable software systems. The concepts, lessons, and executable code allow researchers to develop a deeper understanding of the problems, and solution domains possible, for large-scale software construction practices.

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