000 03676nam a22004935i 4500
001 978-3-319-42966-3
003 DE-He213
005 20200420221253.0
007 cr nn 008mamaa
008 160730s2016 gw | s |||| 0|eng d
020 _a9783319429663
_9978-3-319-42966-3
024 7 _a10.1007/978-3-319-42966-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aZykov, Sergey V.
_eauthor.
245 1 0 _aCrisis Management for Software Development and Knowledge Transfer
_h[electronic resource] /
_cby Sergey V. Zykov.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXIII, 133 p. 37 illus., 13 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v61
505 0 _aIntroduction -- Software Engineering: the End of the Crisis? -- Software Lifecycles: How Can we Optimize them? -- Software Methodologies: Are our Processes Crisis-Agile? -- Software Patterns: Ready for Crisis Development? -- Knowledge Transfer: Manageable in Crisis? -- Conclusion.
520 _aThis well structured book discusses lifecycle optimization of software projects for crisis management by means of software engineering methods and tools. Its outcomes are based on lessons learned from the software engineering crisis which started in the 1960s. The book presents a systematic approach to overcome the crisis in software engineering depends which not only depends on technology-related but also on human-related factors. It proposes an adaptive methodology for software product development, which optimizes the software product lifecycle in order to avoid "local" crises of software production. The general lifecycle pattern and its stages are discussed, and their impact on the time and budget of the software product development is analyzed. The book identifies key advantages and disadvantages for various models selected and concludes that there is no "silver bullet", or universal model, which suits all software products equally well. It approaches software architecture in terms of process, data and system perspectives and proposes an incremental methodology for crisis-agile development of large-scale, distributed heterogeneous applications. The book introduces a number of specialized approaches which are widely used in industry but are often ignored in general writings because of their vendor-specificity. In doing so, the book builds a helpful bridge from academic conceptions of software engineering to the world of software engineering practice. With its systematic coverage of different software engineering methodologies and the presented rich systems engineering examples the book will be beneficial for a broader audience.
650 0 _aEngineering.
650 0 _aSoftware engineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319429656
830 0 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v61
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-42966-3
912 _aZDB-2-ENG
942 _cEBK
999 _c52713
_d52713