LEADER 03919nam  22006255  450 
001 9910299053103321
005 20200701215346.0
010   $a3-658-05270-8
024 7 $a10.1007/978-3-658-05270-6
035   $a(CKB)3710000000093966
035   $a(EBL)1697667
035   $a(OCoLC)880449526
035   $a(SSID)ssj0001186549
035   $a(PQKBManifestationID)11746218
035   $a(PQKBTitleCode)TC0001186549
035   $a(PQKBWorkID)11218036
035   $a(PQKB)10566608
035   $a(MiAaPQ)EBC1697667
035   $a(DE-He213)978-3-658-05270-6
035   $a(PPN)17782249X
035   $a(EXLCZ)993710000000093966
100   $a20140310d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aModel-Driven Software Migration: A Methodology $eReengineering, Recovery and Modernization of Legacy Systems /$fby Christian Wagner
205   $a1st ed. 2014.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2014.
215   $a1 online resource (319 p.)
300   $aDescription based upon print version of record.
311   $a3-658-05269-4 
320   $aIncludes bibliographical references and index.
327   $aFundamentals -- Model-Driven Software Migration -- Related Work -- Case Study: DeAs -- Further Applications -- Conclusions.
330   $aToday, reliable software systems are the basis of any business or company. The continuous further development of those systems is the central component in software evolution. It requires a huge amount of time-, man power- as well as financial resources. The challenges are size, seniority and heterogeneity of those software systems. Christian Wagner addresses software evolution: the inherent problems and uncertainties in the process. He presents a model-driven method which leads to a synchronization between source code and design. As a result the model layer will be the central part in further evolution and source code becomes a by-product. For the first time a model-driven procedure for maintenance and migration of software systems is described. The procedure is composed of a model-driven reengineering and a model-driven migration phase. The application and effectiveness of the procedure are confirmed with a reference implementation applied to four exemplary systems. Contents Theoretical Context Description of the Methodology Case Study Applications Evaluation of Results Target Groups Researchers and students in the field of computer science, information management and commercial information technology Practitioners in the field of software development, IT-Managers, CIOs The Author In 2012, Dr.-Ing. Christian Wagner finished his PhD thesis at the University of Potsdam, Chair of Service and Software Engineering. Currently, he is working as System-Analyst in the automotive sector.  .
606   $aSoftware engineering
606   $aArtificial intelligence
606   $aComputers
606   $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
615  0$aSoftware engineering.
615  0$aArtificial intelligence.
615  0$aComputers.
615 14$aSoftware Engineering/Programming and Operating Systems.
615 24$aArtificial Intelligence.
615 24$aTheory of Computation.
676   $a004.0151
676   $a005.1
700   $aWagner$b Christian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0880834
906   $aBOOK
912   $a9910299053103321
996   $aModel-Driven Software Migration: A Methodology$92268955
997   $aUNINA