000 03189nam a22004695i 4500
001 978-1-4614-3043-8
003 DE-He213
005 20140220083246.0
007 cr nn 008mamaa
008 120217s2012 xxu| s |||| 0|eng d
020 _a9781461430438
_9978-1-4614-3043-8
024 7 _a10.1007/978-1-4614-3043-8
_2doi
050 4 _aHF54.5-54.56
072 7 _aKJQ
_2bicssc
072 7 _aUF
_2bicssc
072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
_2bisacsh
082 0 4 _a650
_223
100 1 _aMohapatra, Sanjay.
_eauthor.
245 1 0 _aInformation Theory and Best Practices in the IT Industry
_h[electronic resource] /
_cby Sanjay Mohapatra.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aXV, 216p. 34 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Literature Review -- Researchable Objectives, Hypotheses and Methodology -- Benchmarking Practices - Analysis and Assessment -- Testing of Hypotheses Validations Through Cases -- Case Studies -- Conclusions. Appendix I - Questionnaire -- Appendix II - Data Collected from Internal Benchmarking.
520 _aThe importance of benchmarking in the service sector is well recognized as it helps in continuous improvement in products and work processes. Through benchmarking, companies have strived to implement best practices in order to remain competitive in the product- market in which they operate. However studies on benchmarking, particularly in the software development sector, have neglected using multiple variables and therefore have not been as comprehensive. Information Theory and Best Practices in the IT Industry fills this void by examining benchmarking in the business of software development and studying how it is affected by development process, application type, hardware platforms used, and many other variables. Information Theory and Best Practices in the IT Industry begins by examining practices of benchmarking productivity and critically appraises them. Next the book identifies different variables which affect productivity and variables that affect quality, developing useful equations that explaining their relationships. Finally these equations and findings are applied to case studies. Utilizing this book, practitioners can decide about what emphasis they should attach to different variables in their own companies, while seeking to optimize productivity and defect density.
650 0 _aEconomics.
650 0 _aData structures (Computer science).
650 0 _aManagement information systems.
650 1 4 _aEconomics/Management Science.
650 2 4 _aBusiness Information Systems.
650 2 4 _aData Structures, Cryptology and Information Theory.
650 2 4 _aInnovation/Technology Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461430421
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3043-8
912 _aZDB-2-SBE
999 _c101291
_d101291