LEADER 05006nam 22006495 450 001 9910298976003321 005 20200706225738.0 010 $a3-662-43839-9 024 7 $a10.1007/978-3-662-43839-8 035 $a(CKB)3710000000306292 035 $a(SSID)ssj0001386057 035 $a(PQKBManifestationID)11851216 035 $a(PQKBTitleCode)TC0001386057 035 $a(PQKBWorkID)11350069 035 $a(PQKB)10604595 035 $a(DE-He213)978-3-662-43839-8 035 $a(MiAaPQ)EBC6315180 035 $a(MiAaPQ)EBC5596470 035 $a(Au-PeEL)EBL5596470 035 $a(OCoLC)899248827 035 $a(PPN)183087143 035 $a(EXLCZ)993710000000306292 100 $a20141119d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDesign Science Methodology for Information Systems and Software Engineering /$fby Roel J. Wieringa 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XV, 332 p. 43 illus.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-43838-0 327 $aI A Framework for Design Science -- 1 What is Design Science? -- 2 Research Goals and Research Questions -- II The Design Cycle -- 3 The Design Cycle -- 4 Stakeholder and Goal Analysis -- 5 Implementation Evaluation and Problem Investigation -- 6 Requirements Specification -- 7 Treatment Validation -- III Theoretical Frameworks -- 8 Conceptual Frameworks -- 9 Scientific Theories -- IV The Empirical Cycle -- 10 The Empirical Cycle -- 11 Research Design -- 12 Descriptive Inference Design -- 13 Statistical Inference Design -- 14 Abductive Inference Design -- 15 Analogic Inference Design -- V Some Research Methods -- 16 A Roadmap of Research Methods -- 17 Observational Case Studies -- 18 Single-case Mechanism Experiments -- 19 Technical Action Research -- 20 Statistical Difference-Making Experiments -- A Checklist for the Design Cycle -- B Checklist for the Empirical Cycle. 330 $aThis book provides guidelines for practicing design science in the fields of information systems and software engineering research. A design process usually iterates over two activities: first designing an artifact that improves something for stakeholders, and subsequently empirically investigating the performance of that artifact in its context. This ?validation in context? is a key feature of the book - since an artifact is designed for a context, it should also be validated in this context. The book is divided into five parts. Part I discusses the fundamental nature of design science and its artifacts, as well as related design research questions and goals. Part II deals with the design cycle, i.e. the creation, design and validation of artifacts based on requirements and stakeholder goals. To elaborate this further, Part III presents the role of conceptual frameworks and theories in design science. Part IV continues with the empirical cycle to investigate artifacts in context, and presents the different elements of research problem analysis, research setup, and data analysis. Finally, Part V deals with the practical application of the empirical cycle  by presenting in detail various research methods, including observational case studies, case-based and sample-based experiments, and technical action research. These main sections are complemented by two generic checklists, one for the design cycle and one for the empirical cycle. The book is written for students as well as academic and industrial researchers in software engineering or information systems. It provides guidelines on how to effectively structure research goals, how to analyze research problems concerning design goals and knowledge questions, how to validate artifact designs, and how to empirically investigate artifacts in context ? and finally how to present the results of the design cycle as a whole. 606 $aSoftware engineering 606 $aComputers 606 $aSociology 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aModels and Principles$3https://scigraph.springernature.com/ontologies/product-market-codes/I18016 606 $aKnowledge - Discourse$3https://scigraph.springernature.com/ontologies/product-market-codes/X22120 615 0$aSoftware engineering. 615 0$aComputers. 615 0$aSociology. 615 14$aSoftware Engineering. 615 24$aModels and Principles. 615 24$aKnowledge - Discourse. 676 $a004 700 $aWieringa$b Roel J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0536686 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298976003321 996 $aDesign Science Methodology for Information Systems and Software Engineering$91961589 997 $aUNINA