000 05525nam a2201081 i 4500
001 5988898
003 IEEE
005 20220712205807.0
006 m o d
007 cr |n|||||||||
008 151221s2005 njua ob 001 eng d
020 _a9780471750338
_qelectronic
020 _z9780471696919
_qprint
020 _z0471750336
_qelectronic
024 7 _a10.1002/0471750336
_2doi
035 _a(CaBNVSL)mat05988898
035 _a(IDAMS)0b000064816246d3
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.758
_b.B466 2005eb
082 0 4 _a005.1
_222
100 1 _aBernstein, Lawrence,
_d1940-
_927753
245 1 0 _aTrustworthy systems through quantitative software engineering /
_cLawrence Bernstein, Christine M. Yuhas.
264 1 _aHoboken, New Jersey :
_bWiley,
_cc2005.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2005]
300 _a1 PDF (xxv, 437 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aQuantitative software engineering series ;
_v1
504 _aIncludes bibliographical references and index.
505 0 _aThink like an engineer, especially for software -- People, process, product, project : the big four -- Software requirements -- Prototyping -- Architecture -- Estimation, planning and investment -- Design for trustworthiness -- Identifying and managing risk -- Human factors in software engineering -- Implementation details -- Testing, manufacturing and configuration management -- The final project : by students, for students.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aA benchmark text on software development and quantitative software engineering"We all trust software. All too frequently, this trust is misplaced. Larry Bernstein has created and applied quantitative techniques to develop trustworthy software systems. He and C. M. Yuhas have organized this quantitative experience into a book of great value to make software trustworthy for all of us."-Barry Boehm Trustworthy Systems Through Quantitative Software Engineering proposes a novel, reliability-driven software engineering approach, and discusses human factors in software engineering and how these affect team dynamics. This practical approach gives software engineering students and professionals a solid foundation in problem analysis, allowing them to meet customers' changing needs by tailoring their projects to meet specific challenges, and complete projects on schedule and within budget. Specifically, it helps developers identify customer requirements, develop software designs, manage a software development team, and evaluate software products to customer specifications. Students learn "magic numbers of software engineering," rules of thumb that show how to simplify architecture, design, and implementation. Case histories and exercises clearly present successful software engineers' experiences and illustrate potential problems, results, and trade-offs. Also featuring an accompanying Web site with additional and related material, Trustworthy Systems Through Quantitative Software Engineering is a hands-on, project-oriented resource for upper-level software and computer science students, engineers, professional developers, managers, and professionals involved in software engineering projects.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aSoftware engineering.
_94138
650 0 _aComputer software
_xReliability.
_97178
655 0 _aElectronic books.
_93294
695 _aServers
695 _aSilver
695 _aSoftware
695 _aSoftware engineering
695 _aSoftware measurement
695 _aSoftware reliability
695 _aSoftware systems
695 _aStandards organizations
695 _aSystem testing
695 _aTraining
695 _aUS Department of Energy
695 _aUnified modeling language
695 _aUser interfaces
695 _aWideband
695 _aAnalytical models
695 _aArt
695 _aBanking
695 _aBridges
695 _aBusiness
695 _aCompanies
695 _aComplexity theory
695 _aComputer architecture
695 _aComputers
695 _aDatabases
695 _aDocumentation
695 _aEarthquakes
695 _aEstimation
695 _aHeuristic algorithms
695 _aHuman factors
695 _aIndexes
695 _aInspection
695 _aLaw
695 _aMathematical model
695 _aObject oriented modeling
695 _aOnline banking
695 _aOrganizations
695 _aPlanning
695 _aPortable media players
695 _aProductivity
695 _aProgramming
695 _aPrototypes
695 _aReliability
695 _aReliability engineering
695 _aRisk management
695 _aRobustness
695 _aSchedules
700 1 _aYuhas, C. M.
_927754
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_927755
710 2 _aWiley InterScience (Online service),
_epublisher.
_96290
776 0 8 _iPrint version:
_z9780471696919
830 0 _aQuantitative software engineering series ;
_v1
_927756
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5988898
942 _cEBK
999 _c74165
_d74165