ANTIPATTERNS FOR ARCHITECTURAL KNOWLEDGE MANAGEMENT
Elena Navarro (),
Carlos E. Cuesta (),
Dewayne E. Perry () and
Pascual González ()
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Elena Navarro: Laboratory of User Interface and Software Engineering, Computing Systems Department, University of Castilla-La Mancha, Albacete, 02071, Spain
Carlos E. Cuesta: School of Computer Science & Engineering, Rey Juan Carlos University, Mostoles, 28933 Madrid, Spain
Dewayne E. Perry: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA
Pascual González: Laboratory of User Interface and Software Engineering, Computing Systems Department, University of Castilla-La Mancha, Albacete, 02071, Spain
International Journal of Information Technology & Decision Making (IJITDM), 2013, vol. 12, issue 03, 547-589
Abstract:
Recent research on Software Architecture has recovered its original emphasis on keeping track of design decisions and their rationales during software development, compiling them under the name of architectural knowledge (AK). This knowledge is composed of decision assets, which relate to each other creating a decision network structure. We argue that relationships in these networks of AK contain valuable information, in particular when they describe negative semantics. We use antipatterns to exploit and manage these negative relationships systematically. After examining and classifying the kinds of AK relationships, we describe a method that enriches this network by means of antipattern structures. To show the feasibility and suitability of this approach, we provide a proof-of-concept by applying it to an existing process, ATRIUM, with a concrete example, the Gas Station metaphor. Results of the use of the presented approach into three different projects with different complexities show both its feasibility and applicability.
Keywords: Software architecture; architectural knowledge; antipatterns; requirements engineering; model-driven development (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:12:y:2013:i:03:n:s0219622013500211
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DOI: 10.1142/S0219622013500211
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