03448oam 2200505I 450 991016505120332120191212081647.01-315-36815-31-315-35118-810.1201/9781315368153 (CKB)3710000001060374(MiAaPQ)EBC4807052(OCoLC)940284176(EXLCZ)99371000000106037420180331h20172017 uy 0engurcn#nnn|||||txtrdacontentcrdamediacrrdacarrierAgile model-based development using UML-RSDS /Kevin Lano, Department of Informatics, King's College London, London, United KingdomBoca Raton, Fla. :CRC Press, Taylor & Francis Group,[2017]©20171 online resource (xi, 373 pages) illustrationsA Science Publishers Book.1-4987-5222-5 1-4987-5223-3 Includes bibliographical references and index.1: Introduction -- 2: Overview of Development Using UML-RSDS -- 3: Class Diagrams -- 4: Constraints -- 5: Use Cases -- 6: Design Synthesis -- 7: Model Transformations -- 8: Case Study: Resource Scheduler -- 9: Design Patterns and Refactorings -- 10: System Composition and Reuse -- 11: Migration Transformations -- 12: Refinement and Enhancement Transformations -- 13: Refactoring and Update-in-place Transformations -- 14: Bidirectional and Incremental Transformations -- 15: Backtracking and Exploratory Transformations -- 16: Agile Development and Model-based Development -- 17: Requirements Analysis and Specification -- 18: System Verification -- 19: Reactive System Development with UML-RSDS -- 20: Enterprise Systems Development with UML-RSDS -- 21: Applications of UML-RSDS in Education and Industry -- Appendix: A: UML-RSDS Syntax -- A.1 OCL expression syntax -- A.2 Activity language syntax -- B: UML-RSDS tool architecture and components -- C: Key principles of UML-RSDS.This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in finance, system migration, internet systems and software refactoring are given. An established open-source MBD technology, UML-RSDS, is used throughout to illustrate the concepts. The book is suitable for industrial practitioners who need training in Agile MBD, and those who need to understand the issues to be considered when introducing MBD in an industrial context. It is also suitable for academic researchers, and for use as text for undergraduate or postgraduate courses in MBD. Examples for educational use of UML-RSDS are included in the book.Agile software developmentUML (Computer science)Model-integrated computingElectronic books.Agile software development.UML (Computer science)Model-integrated computing.005.1Lano K.896245FlBoTFGFlBoTFGBOOK9910165051203321Agile model-based development using UML-RSDS2002052UNINA08209nam 2202089z- 450 991055739380332120231214133026.0(CKB)5400000000041960(oapen)https://directory.doabooks.org/handle/20.500.12854/76785(EXLCZ)99540000000004196020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUncertain Multi-Criteria Optimization ProblemsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (86 p.)3-0365-1574-7 3-0365-1573-9 Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems.Information technology industriesbicsscmultiple-criteria decision-makingunderground minesmining methodsexpert knowledgefailure mode and effects analysissolar panel systemsstep-wise weight assessment ratio analysisgrey relational analysisZ-number theoryB2C e-commerce factorswebsiteMCDMFuzzy AHPTOPSIS-GreyChinaIoTplatform selectionmulti criteria decision analysis (MCDA)AHPPROMETHEE-IIIndustry 4.0data envelopment analysisconjoint analysisexperimental designcriteria importanceweight restrictionssubjective and objective teacher efficiencymulti-objective planningreverse supply chainrobust optimizationuncertaintymeta-heuristic algorithmsteel making industryfuzzy PIPRECIAfuzzy EDASrailwaymulti-criteria decision-makingtransport policySix Sigma (6σ)DMAICvehicle fleetoptimizationtext miningMulti-Attribute Decision Making (MADM), criteria selectionweightingProspective MADMLatent Semantic Analysis (LSA)SIMUSdecision treetransport planLaplace’s criterionHurwitz’s criterionq-rung orthopair fuzzy numbersq-rung orthopair fuzzy prioritized weighted average operatorq-rung orthopair fuzzy prioritized weighted geometric operatorgreen supply chain managementfuzzy theorysustainable developmentSCOR modelFAHPPROMETHEE IItextile and garments industrysustainable supplier selectionMCDAefficiencyDEASFAclassificationdimensionality reductionq-ROFNsEinstein operatorsprioritized aggregation operatorsmulti-criteria group decision makinghazardous materialsvehicle route model (VRP)uncertainty theorychance constrained programming modelhybrid intelligent algorithmlinear Diophantine fuzzy setlinear Diophantine fuzzy soft rough setsoft rough linear Diophantine fuzzy setupper reduct and lower reductcore setmulti-criteria decision makingq-Rung orthopair fuzzy setsgeometric aggregation operators based on generalized and group-generalized parameterswater loss managementdecision makingintuitionistic fuzzy setsthe COMET methodservice qualityfuzzy setJensen–Shannon divergenceshapley functionTODIMport-hinterland transportation systembi-objective programmingintermodal transportationcarbon emissionsuncertain demanddistributionally robustchance constraintYangtze River Economic Beltmulti-criteria decision-analysisMCDA benchmarknormalizationentropydecision-making methodsmulti-criteria problemsevolutionary algorithmsmachine learningfuzzy logicuncertain dataconsistency weightsfuzzy preference relation (FPR)hesitant fuzzy preference relation (HFPR)Łukasiewicz consistencynormal hesitant fuzzy preference relation (NHFPR)multiple criteria decision-making (MCDM)outsourcing providerDEMATELCRITICTOPSIScomparison measurerepresentationdisjointmultiplicative preference relation (MPR)group decision-making (GDM)incomplete fuzzy preference relation (IFPR)TL-consistencycubic m-polar fuzzy setDombi’s operationscubic m-polar fuzzy aggregation operators with P-order (R-order)SIR techniquecomplex networkssocial networksviral marketinginformation propagationcrisp probabilityinterval probabilityinfluence diagramscircuit breakersgranular computinginterval-valuedintuitionistic fuzzy setmultiple granulationordered information systemInformation technology industriesPamučar Draganedt1295532Pamučar DraganothBOOK9910557393803321Uncertain Multi-Criteria Optimization Problems3023585UNINA