000 | 05472nam a2201081 i 4500 | ||
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001 | 5988898 | ||
003 | IEEE | ||
005 | 20200421114120.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151221s2005 njua ob 001 eng d | ||
020 |
_a9780471750338 _qelectronic |
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020 |
_z9780471696919 _qprint |
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020 |
_z0471750336 _qelectronic |
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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- |
|
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. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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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. | |
650 | 0 |
_aComputer software _xReliability. |
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655 | 0 | _aElectronic books. | |
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 | ||
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 | ||
700 | 1 | _aYuhas, C. M. | |
710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. |
|
710 | 2 |
_aWiley InterScience (Online service), _epublisher. |
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776 | 0 | 8 |
_iPrint version: _z9780471696919 |
830 | 0 |
_aQuantitative software engineering series ; _v1 |
|
856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5988898 |
942 | _cEBK | ||
999 |
_c59709 _d59709 |