000 03607nam a22005055i 4500
001 978-3-642-24291-5
003 DE-He213
005 20140220083303.0
007 cr nn 008mamaa
008 120526s2012 gw | s |||| 0|eng d
020 _a9783642242915
_9978-3-642-24291-5
024 7 _a10.1007/978-3-642-24291-5
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aMünch, Jürgen.
_eauthor.
245 1 0 _aSoftware Process Definition and Management
_h[electronic resource] /
_cby Jürgen Münch, Ove Armbrust, Martin Kowalczyk, Martín Soto.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXX, 235 p. 88 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Fraunhofer IESE Series on Software and Systems Engineering,
_x2193-8199
505 0 _aPrescriptive Process Models -- Descriptive Process Models -- Process Modeling Notations and Tools -- Process Improvement -- Empirical Studies -- Software Process Simulation.
520 _aThe concept of processes is at the heart of software and systems engineering. Software process models integrate software engineering methods and techniques and are the basis for managing large-scale software and IT projects. High product quality routinely results from high process quality. Software process management deals with getting and maintaining control over processes and their evolution. Becoming acquainted with existing software process models is not enough, though. It is important to understand how to select, define, manage, deploy, evaluate, and systematically evolve software process models so that they suitably address the problems, applications, and environments to which they are applied. Providing basic knowledge for these important tasks is the main goal of this textbook. Münch and his co-authors aim at providing knowledge that enables readers to develop useful process models that are suitable for their own purposes. They start with the basic concepts. Subsequently, existing representative process models are introduced, followed by a description of how to create individual models and the necessary means for doing so (i.e., notations and tools). Lastly, different possible usage scenarios for process management are highlighted (e.g. process improvement and software process simulation). Their book is aimed at students and researchers working on software project management, software quality assurance, and software measurement; and at practitioners who are interested in process definition and management for developing, maintaining, and operating software-intensive systems and services.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aInformation Systems.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering.
650 2 4 _aManagement of Computing and Information Systems.
650 2 4 _aProject Management.
700 1 _aArmbrust, Ove.
_eauthor.
700 1 _aKowalczyk, Martin.
_eauthor.
700 1 _aSoto, Martín.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642242908
830 0 _aThe Fraunhofer IESE Series on Software and Systems Engineering,
_x2193-8199
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-24291-5
912 _aZDB-2-SCS
999 _c102275
_d102275