JADEPT: Dynamic analysis for behavioral design pattern detection

F. Arcelli, F. Perin, C. Raibulet, S. Ravani

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In the context of reverse engineering, the recognition of design patterns provides additional information related to the rationale behind the design. This paper presents our approach to the recognition of design patterns based on dynamic analysis of Java software. The idea behind our approach is to identify a set of rules capturing information necessary to identify a design pattern instance. Rules are characterized by weights indicating their importance in the detection of a specific design pattern. The core behavior of each design pattern may be described through a subset of these rules forming a macrorule. Macrorules define the main traits of a pattern. JADEPT (JAva DEsign Pattern deTector) is our software for design pattern identification based on this idea. It captures static and dynamic aspects through a dynamic analysis of the software by exploiting the JPDA (Java Platform Debugger Architecture). The extracted information is stored in a database. Queries to the database implement the rules defined to recognize design patterns. The tool has been validated with positive results on different academic implementations of design patterns and on systems as JADEPT itself.
Original languageEnglish
Title of host publicationENASE 2009 - 4th International Conference on Evaluation of Novel Approaches to Software Engineering, Proceedings
Pages95-106
Publication statusPublished - 2009
Externally publishedYes
EventENASE 2009 - 4th International Conference on Evaluation of Novel Approaches to Software Engineering - , Italy
Duration: 9 May 200910 May 2009

Conference

ConferenceENASE 2009 - 4th International Conference on Evaluation of Novel Approaches to Software Engineering
Country/TerritoryItaly
Period9/05/0910/05/09

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