Design Pattern Detection in Java Systems: A Dynamic Analysis Based Approach
| Autor: | Francesca Arcelli, Claudia Raibulet, Fabrizio Perin, Stefano Ravani |
|---|---|
| Přispěvatelé: | ARCELLI FONTANA, F, Perin, F, Raibulet, C, Ravani, S |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Reverse engineering
Java Programming language Computer science business.industry Design pattern Behavioral pattern INF/01 - INFORMATICA reverse engineering design pattern detection rules dynamic analysis Java computer.software_genre Software Software design pattern Software system Data mining business computer computer.programming_language Debugger |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783642148187 ENASE (Selected Papers) |
| Popis: | 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 the behavioral design patterns based on dynamic analysis of Java software systems. The idea behind our solution 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 the design patterns. The tool has been validated with positive results on different implementations of design patterns and on systems such as JADEPT itself. |
| Databáze: | OpenAIRE |
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