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010   $a1-280-27834-X
010   $a9786610278343
010   $a0-470-32416-3
010   $a0-471-75033-6
010   $a0-471-75032-8
024 7 $a10.1002/0471750336
035   $a(CKB)1000000000355330
035   $a(EBL)239405
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035   $a(PQKBManifestationID)11217378
035   $a(PQKBTitleCode)TC0000262693
035   $a(PQKBWorkID)10271296
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035   $a(MiAaPQ)EBC239405
035   $a(CaBNVSL)mat05988898
035   $a(IDAMS)0b000064816246d3
035   $a(IEEE)5988898
035   $a(OCoLC)85785170
035   $a(PPN)254413102
035   $a(EXLCZ)991000000000355330
100   $a20151221d2005      uy              
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aTrustworthy systems through quantitative software engineering /$fLawrence Bernstein, Christine M. Yuhas
210  1$aHoboken, New Jersey :$cWiley,$dc2005.
210  2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2005]
215   $a1 online resource (465 p.)
225 1 $aQuantitative software engineering series ;$v1
300   $aDescription based upon print version of record.
311   $a0-471-69691-9 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aA benchmark text on software development and quantitative software engineering"We all trust software. All too frequently, this trust is misplaced. Larry Bernstein has created and applied quantitative techniques to develop trustworthy software systems. He and C. M. Yuhas have organized this quantitative experience into a book of great value to make software trustworthy for all of us."-Barry Boehm Trustworthy Systems Through Quantitative Software Engineering proposes a novel, reliability-driven software engineering approach, and discusses human factors in software engineering and how these affect team dynamics. This practical approach gives software engineering students and professionals a solid foundation in problem analysis, allowing them to meet customers' changing needs by tailoring their projects to meet specific challenges, and complete projects on schedule and within budget. Specifically, it helps developers identify customer requirements, develop software designs, manage a software development team, and evaluate software products to customer specifications. Students learn "magic numbers of software engineering," rules of thumb that show how to simplify architecture, design, and implementation. Case histories and exercises clearly present successful software engineers' experiences and illustrate potential problems, results, and trade-offs. Also featuring an accompanying Web site with additional and related material, Trustworthy Systems Through Quantitative Software Engineering is a hands-on, project-oriented resource for upper-level software and computer science students, engineers, professional developers, managers, and professionals involved in software engineering projects.
410  0$aQuantitative software engineering series ;$v1
606   $aSoftware engineering
606   $aComputer software$xReliability
615  0$aSoftware engineering.
615  0$aComputer software$xReliability.
676   $a005.1
700   $aBernstein$b Lawrence$f1940-$01615781
701   $aYuhas$b C. M$01615782
801  0$bCaBNVSL
801  1$bCaBNVSL
801  2$bCaBNVSL
906   $aBOOK
912   $a9910830337703321
996   $aTrustworthy systems through quantitative software engineering$93946141
997   $aUNINA