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Migrating legacy software systems towards Service-Oriented Architectures (SOA) requires legacy code to be reused in services. Legacy code being suited to implement a given service may be scattered across a system and therefore, may be hard to find. This thesis presents an approach combining dynamic analysis and data mining techniques to identify legacy code able to implement services. Dynamic analysis was used to simulate the execution of business processes on a legacy system and tracing what code is executed during which step of a process. Data mining techniques were used to identify cohesive code that may be suited to implement services that support business processes. By using various clustering approaches as well as link analysis approaches, promising results with precision values up to 73% and recall values up to 95% were achieved.
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Informazioni sull'autore
Andreas Fuhr studied computer science (B.Sc. and M.Sc.) at the Universities of Mainz and Koblenz. Since 2011, he is working as scientific staff member and PhD student at the Institute for Software Technology at the University of Koblenz-Landau. His main research interests are software engineering, model-driven software development and data mining.
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Mining Legacy Code for Service Implementations
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AV Akademikerverlag Jun 2012, 2012
ISBN 10: 3639420608
ISBN 13: 9783639420609
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Migrating legacy software systems towards Service-Oriented Architectures (SOA) requires legacy code to be reused in services. Legacy code being suited to implement a given service may be scattered across a system and therefore, may be hard to find. This thesis presents an approach combining dynamic analysis and data mining techniques to identify legacy code able to implement services. Dynamic analysis was used to simulate the execution of business processes on a legacy system and tracing what code is executed during which step of a process. Data mining techniques were used to identify cohesive code that may be suited to implement services that support business processes. By using various clustering approaches as well as link analysis approaches, promising results with precision values up to 73% and recall values up to 95% were achieved. 136 pp. Englisch. Codice articolo 9783639420609
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Mining Legacy Code for Service Implementations
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Mining Legacy Code for Service Implementations
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3639420608
ISBN 13: 9783639420609
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Mining Legacy Code for Service Implementations
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3639420608
ISBN 13: 9783639420609
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Condizione: New. PRINT ON DEMAND pp. 136. Codice articolo 18127790090
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Mining Legacy Code for Service Implementations
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fuhr AndreasAndreas Fuhr studied computer science (B.Sc. and M.Sc.) at the Universities of Mainz and Koblenz. Since 2011, he is working as scientific staff member and PhD student at the Institute for Software Technology at the Univer. Codice articolo 4986275
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Mining Legacy Code for Service Implementations
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AV Akademikerverlag Jun 2012, 2012
ISBN 10: 3639420608
ISBN 13: 9783639420609
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Migrating legacy software systems towards Service-Oriented Architectures (SOA) requires legacy code to be reused in services. Legacy code being suited to implement a given service may be scattered across a system and therefore, may be hard to find. This thesis presents an approach combining dynamic analysis and data mining techniques to identify legacy code able to implement services. Dynamic analysis was used to simulate the execution of business processes on a legacy system and tracing what code is executed during which step of a process. Data mining techniques were used to identify cohesive code that may be suited to implement services that support business processes. By using various clustering approaches as well as link analysis approaches, promising results with precision values up to 73% and recall values up to 95% were achieved.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Codice articolo 9783639420609
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Mining Legacy Code for Service Implementations : Fusing Dynamic Analysis and Data Mining
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Migrating legacy software systems towards Service-Oriented Architectures (SOA) requires legacy code to be reused in services. Legacy code being suited to implement a given service may be scattered across a system and therefore, may be hard to find. This thesis presents an approach combining dynamic analysis and data mining techniques to identify legacy code able to implement services. Dynamic analysis was used to simulate the execution of business processes on a legacy system and tracing what code is executed during which step of a process. Data mining techniques were used to identify cohesive code that may be suited to implement services that support business processes. By using various clustering approaches as well as link analysis approaches, promising results with precision values up to 73% and recall values up to 95% were achieved. Codice articolo 9783639420609
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Mining Legacy Code for Service Implementations | Fusing Dynamic Analysis and Data Mining
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Taschenbuch. Condizione: Neu. Mining Legacy Code for Service Implementations | Fusing Dynamic Analysis and Data Mining | Andreas Fuhr | Taschenbuch | 136 S. | Englisch | 2014 | AV Akademikerverlag | EAN 9783639420609 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106420066
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