LEADER 00973nam0-2200349li-450 001 990000244680203316 005 20180312154818.0 035 $a0024468 035 $aUSA010024468 035 $a(ALEPH)000024468USA01 035 $a0024468 100 $a20001109d1985----km-y0itay0103----ba 101 0 $afre 102 $aFR 200 1 $aBiophysique$fM. Volkenstein$g[traduit du russepar E. Oumanski] 210 $aMoscou$cMIR$d1985 215 $a631 p.$cill.$d23 cm 300 $atrad di: biofizika 610 1 $abiofisica 676 $a574191$9. 700 1$aVolkenstein,$bM.$0743201 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000244680203316 951 $a574.191 VOL$b0011601 959 $aBK 969 $aSCI 979 $c19900315 979 $c20001110$lUSA01$h1715 979 $c20020403$lUSA01$h1632 979 $aPATRY$b90$c20040406$lUSA01$h1618 996 $aBiophysique$91478044 997 $aUNISA LEADER 04017nam 2200601Ia 450 001 9910437561803321 005 20200520144314.0 010 $a3-642-30764-7 010 $a1-299-19754-X 024 7 $a10.1007/978-3-642-30764-5 035 $a(CKB)2670000000535817 035 $a(EBL)994203 035 $a(OCoLC)826853618 035 $a(SSID)ssj0000879735 035 $a(PQKBManifestationID)11512341 035 $a(PQKBTitleCode)TC0000879735 035 $a(PQKBWorkID)10872029 035 $a(PQKB)11362754 035 $a(DE-He213)978-3-642-30764-5 035 $a(MiAaPQ)EBC994203 035 $a(PPN)16831763X 035 $a(EXLCZ)992670000000535817 100 $a20130123d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSoftware cost estimation, benchmarking, and risk assessment $ethe software decision-makers' guide to predictable software development /$fAdam Trendowicz 205 $a1st ed. 2013. 210 $aHeidelberg ;$aNew York $cSpringer$d2013 215 $a1 online resource (336 p.) 225 1 $aThe Fraunhofer IESE series on software and systems engineering,$x2193-8199 300 $aDescription based upon print version of record. 311 $a3-642-30763-9 311 $a3-642-43365-0 320 $aIncludes bibliographical references and index. 327 $aPart I Predictable Software Development.-Why Software Effort Estimation? -- What is a Good Estimate? -- Why the CoBRA Method? -- Part II The CoBRA Method -- Principles of the CoBRA Method -- Model Development and Validation -- Model Application -- Usage Scenarios of a CoBRA Model -- Part III Industrial Applications -- Software design & management, Germany -- Allette Systems, Australia -- Oki Electric, Japan -- Siemens Information Systems, India -- Japan Manned Space Systems, Japan -- Bibliography. 330 $aSoftware effort estimation is a key element of software project planning and management. Yet, in industrial practice, the important role of effort estimation is often underestimated and/or misunderstood. In this book, Adam Trendowicz presents the CoBRA method  (an abbreviation for Cost Estimation, Benchmarking, and Risk Assessment) for estimating the effort required to successfully complete a software development project, which uniquely combines human judgment and measurement data in order to systematically create a custom-specific effort estimation model. CoBRA goes far beyond simply predicting the development effort; it supports project decision-makers in negotiating the project scope, managing project risks, benchmarking productivity, and directing improvement activities. To illustrate the method?s practical use, the book reports several real-world cases where CoBRA was applied in various industrial contexts. These cases represent different estimation contexts in terms of software project environment, estimation objectives, and estimation constraints. This book is the result of a successful collaboration between the process management division of Fraunhofer IESE and many software companies in the field of software engineering technology transfer. It mainly addresses software practitioners who deal with planning and managing software development projects as part of their daily work, and is also of interest for students or courses specializing in software engineering or software project management. 410 0$aFraunhofer IESE series on software and systems engineering. 606 $aComputer software$xDevelopment$xManagement 606 $aSoftware engineering$xManagement 615 0$aComputer software$xDevelopment$xManagement. 615 0$aSoftware engineering$xManagement. 676 $a005.1068 700 $aTrendowicz$b Adam$0945790 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437561803321 996 $aSoftware Cost Estimation, Benchmarking, and Risk Assessment$92503777 997 $aUNINA LEADER 03583nam 22007215 450 001 9910299962603321 005 20251113204943.0 010 $a9781489980441 010 $a148998044X 024 7 $a10.1007/978-1-4899-8044-1 035 $a(OCoLC)871044688 035 $a(MiFhGG)GVRL6XKT 035 $a(CKB)3710000000083331 035 $a(MiAaPQ)EBC1636447 035 $a(MiFhGG)9781489980441 035 $a(DE-He213)978-1-4899-8044-1 035 $a(EXLCZ)993710000000083331 100 $a20140106d2014 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aPost-Optimal Analysis in Linear Semi-Infinite Optimization /$fby Miguel A. Goberna, Marco A. López 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (x, 121 pages) $ccolor illustrations 225 1 $aSpringerBriefs in Optimization,$x2191-575X 300 $a"ISSN: 2190-8354." 300 $a"ISSN: 2191-575X (electronic)." 311 08$a9781489980434 311 08$a1489980431 320 $aIncludes bibliographical references and index. 327 $a1. Preliminaries on Linear Semi-Infinite Optimization -- 2. Modeling uncertain Linear Semi-Infinite Optimization problems -- 3. Robust Linear Semi-infinite Optimization -- 4. Sensitivity analysis -- 5. Qualitative stability analysis -- 6. Quantitative stability analysis. 330 $aPost-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization problems where the dimension of the decision space or the number of constraints is infinite. The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide readers with criteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along with the available software. This work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics. 410 0$aSpringerBriefs in Optimization,$x2191-575X 606 $aOperations research 606 $aManagement science 606 $aComputer science 606 $aComputer programming 606 $aComputer software 606 $aOperations Research, Management Science 606 $aModels of Computation 606 $aProgramming Techniques 606 $aMathematical Software 615 0$aOperations research. 615 0$aManagement science. 615 0$aComputer science. 615 0$aComputer programming. 615 0$aComputer software. 615 14$aOperations Research, Management Science. 615 24$aModels of Computation. 615 24$aProgramming Techniques. 615 24$aMathematical Software. 676 $a004 700 $aGoberna$b Miguel A.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721704 702 $aLo?pez$b Marco A. 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299962603321 996 $aPost-Optimal Analysis in Linear Semi-Infinite Optimization$92532457 997 $aUNINA