LEADER 00862nam0-22003011i-450 001 990000083480403321 005 20230113100002.0 035 $a000008348 035 $aFED01000008348 035 $a(Aleph)000008348FED01 035 $a000008348 100 $a20011111d1949----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aSOURCES of engineering information$f Blanche H. Dalton. 210 $aBerkeley-Los Angeles$cUniversity of California press$d1949 215 $aV, 109 p.$d24 cm 610 0 $aIngegneria$aBibliografia 676 $a016.62 702 1$aDalton,$bBlanche H. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000083480403321 952 $a13 M 76 12$b20043$fFINBC 959 $aFINBC 996 $aSOURCES of engineering information$9110033 997 $aUNINA DB $aING01 LEADER 05045nam 2200661 a 450 001 9910965908103321 005 20251116140721.0 010 $a9786610192748 010 $a9780309176088 010 $a0309176085 010 $a9781280192746 010 $a1280192747 010 $a9780309588546 010 $a0309588545 010 $a9780585002101 010 $a058500210X 035 $a(CKB)110986584751690 035 $a(OCoLC)42328502 035 $a(CaPaEBR)ebrary10055650 035 $a(SSID)ssj0000251142 035 $a(PQKBManifestationID)11939232 035 $a(PQKBTitleCode)TC0000251142 035 $a(PQKBWorkID)10247100 035 $a(PQKB)11236499 035 $a(MiAaPQ)EBC3376420 035 $a(Au-PeEL)EBL3376420 035 $a(CaPaEBR)ebr10055650 035 $a(CaONFJC)MIL19274 035 $a(OCoLC)923263676 035 $a(Perlego)4735923 035 $a(BIP)47112304 035 $a(EXLCZ)99110986584751690 100 $a19951213d1996 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical software engineering /$fPanel on Statistical Methods in Software Engineering, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences, Commission on Physical Sciences, Mathematics, and Applications, National Research Council 205 $a1st ed. 210 $aWashington, D.C. $cNational Academy Press$d1996 215 $a1 online resource (83 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780309053440 311 08$a0309053447 320 $aIncludes bibliographical references (p. 67-71). 327 $aStatistical Software Engineering -- Copyright -- Preface -- Contents -- Executive Summary -- PURPOSE AND SCOPE OF THIS STUDY -- CONTENTS OF THIS REPORT -- STATISTICAL CHALLENGES -- SUMMARY AND CONCLUSIONS -- 1 Introduction -- 2 Case Study: NASA Space Shuttle Flight Control Software -- OVERVIEW OF REQUIREMENTS -- THE OPERATIONAL LIFE CYCLE -- A STATISTICAL APPROACH TO MANAGING THE SOFTWARE PRODUCTION PROCESS -- Fault Detection -- Safety Certification -- 3 A Software Production Model -- PROBLEM FORMULATION AND SPECIFICATION OF REQUIREMENTS -- DESIGN -- IMPLEMENTATION -- TESTING -- 4 Critique of Some Current Applications of Statistics in Software Engineering -- COST ESTIMATION -- Statistical Inadequacies in Estimating -- Process Volatility -- Maturity and Data Granularity -- Reliability of Model Inputs -- Managing to Estimates -- ASSESSMENT AND RELIABILITY -- Reliability Growth Modeling -- Influence of the Development Process on Software Dependability -- Influence of the Operational Environment on Software Dependability -- Safety-Critical Software and the Problem of Assuring Ultrahigh Dependability -- Design Diversity, Fault Tolerance, and General Issues of Dependence -- Judgment and Decision-making Framework -- Structural Modeling Issues -- Experimentation, Data Collection, and General Statistical Techniques -- SOFTWARE MEASUREMENT AND METRICS -- 5 Statistical Challenges -- SOFTWARE ENGINEERING EXPERIMENTAL ISSUES -- COMBINING INFORMATION -- VISUALIZATION IN SOFTWARE ENGINEERING -- Configuration Management Data -- Function Call Graphs -- Test Code Coverage -- Code Metrics -- Challenges for Visualization -- Opportunities for Visualization -- ORTHOGONAL DEFECT CLASSIFICATION -- 6 Summary and Conclusions -- INSTITUTIONAL MODEL FOR RESEARCH -- MODEL FOR DATA COLLECTION AND ANALYSIS -- ISSUES IN EDUCATION -- References -- Appendix: Forum Program. 330 $aThis book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production. 606 $aSoftware engineering$xStatistical methods 615 0$aSoftware engineering$xStatistical methods. 676 $a005.1 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910965908103321 996 $aStatistical software engineering$94358213 997 $aUNINA