Title | ||
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Automating the Variability Management, Customization and Deployment of Software Processes: A Model-Driven Approach |
Abstract | ||
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This paper presents a model-driven and integrated approach to variability management, customization and execution of software processes. Our approach is founded on the principles and techniques of software product lines and model-driven engineering. Model-driven engineering provides support to the specification of software processes and their transformation to workflow specifications. Software product lines techniques allows the automatic variability management of process elements and fragments. Additionally, in our approach, workflow technologies enable the process execution in workflow engines. In order to evaluate the approach feasibility, we have implemented it using existing model-driven technologies. The software processes are specified using Eclipse Process Framework (EPF). The automatic variability management of software processes has been implemented as an extension of an existing product derivation tool. Finally. ATL and Acceleo transformation languages are adopted to transform EPF process to jPDL workflow language specifications in order to enable the deployment and execution of software processes in the JBoss BPM workflow engine. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-19802-1_26 | ENTERPRISE INFORMATION SYSTEMS |
Keywords | Field | DocType |
Software process,Software product lines,Model-driven development | Data mining,Software engineering,Computer science,Software system,Workflow engine,Software construction,Software verification and validation,Goal-Driven Software Development Process,Software measurement,Software development,Software sizing | Conference |
Volume | ISSN | Citations |
73.0 | 1865-1348 | 7 |
PageRank | References | Authors |
0.55 | 8 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fellipe Araújo Aleixo | 1 | 35 | 4.19 |
Marília Aranha Freire | 2 | 38 | 5.44 |
Wanderson Câmara dos Santos | 3 | 15 | 1.10 |
Uirá Kulesza | 4 | 1167 | 77.83 |