A survey on UML-based aspect-oriented design modeling

Research output: Contribution to journalArticlepeer-review

Abstract

Aspect-orientation provides a new way of modularization by clearly separating crosscutting concerns from noncrosscutting ones. While aspect-orientation originally has emerged at the programming level, it now stretches also over other development phases. There are, for example, already several proposals for Aspect-Oriented Modeling (AOM), most of them pursuing distinguished goals, providing different concepts as well as notations, and showing various levels of maturity. Consequently, there is an urgent need to provide an in-depth survey, clearly identifying commonalities and differences between current AOM approaches. Existing surveys in this area focus more on comprehensibility with respect to development phases or evaluated approaches rather than on comparability on bases of a detailed evaluation framework. This article tries to fill this gap focusing on aspect-oriented design modeling. As a prerequisite for an in-depth evaluation, a conceptual reference model is presented as the article's first contribution, centrally capturing the basic design concepts of AOM and their interrelationships in terms of a UML class diagram. Based on this conceptual reference model, an evaluation framework has been designed, resembling the second contribution, by deriving a detailed and well-defined catalogue of evaluation criteria, thereby operationalizing the conceptual reference model. This criteria catalogue is employed together with a running example in order to evaluate a carefully selected set of eight design-level AOM approaches representing the third contribution of the article. This per approach evaluation is complemented with an extensive report on lessons learned, summarizing the approaches' strengths and shortcomings.
Original languageEnglish
Article number28
Pages (from-to)1-33
Number of pages34
JournalACM Computing Surveys
Volume43
Issue number4
DOIs
Publication statusPublished - Oct 2011

Fields of science

  • 102 Computer Sciences
  • 102015 Information systems

JKU Focus areas

  • Computation in Informatics and Mathematics

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