UPM Institutional Repository

Dependence flow graph for analysis of aspect-oriented programs


Ahmad, Syarbaini and Abd Ghani, Abdul Azim and Mohd Sani, Fazlida (2014) Dependence flow graph for analysis of aspect-oriented programs. International Journal of Software Engineering & Applications, 5 (6). pp. 125-144. ISSN 0976-2221; ESSN: 0975-9018


Program analysis is useful for debugging, testing and maintenance of software systems due to information about the structure and relationship of the program’s modules. In general, program analysis is performed either based on control flow graph or dependence graph. However, in the case of aspect-oriented programming (AOP), control flow graph (CFG) or dependence graph (DG) are not enough to model the properties of Aspect-oriented (AO) programs. With respect to AO programs, although AOP is good for modular representation and crosscutting concern, suitable model for program analysis is required to gather information on its structure for the purpose of minimizing maintenance effort. In this paper Aspect Oriented Dependence Flow Graph (AODFG) as an intermediate representation model is proposed to represent the structure of aspect-oriented programs. AODFG is formed by merging the CFG and DG, thus more information about dependencies between the join points, advice, aspects and their associated construct with the flow of control from one statement to another are gathered. We discuss the performance of AODFG by analysing some examples of AspectJ program taken from AspectJ Development Tools (AJDT).

Download File

PDF (Abstract)
Dependence flow graph for analysis of aspect.pdf

Download (182kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.5121/ijsea.2014.5609
Publisher: AIRCC Publishing Corporation
Keywords: Dependence flow graph; Control flow graph; Dependence graph; Aspect-oriented; Program analysis; Intermediate representation; Maintenance
Depositing User: Nabilah Mustapa
Date Deposited: 28 May 2015 10:57
Last Modified: 21 Aug 2015 03:11
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5121/ijsea.2014.5609
URI: http://psasir.upm.edu.my/id/eprint/36983
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item