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Slicing aspect-oriented program using aspect- oriented dependence flow graph for software maintenance


Ahmad, Syarbaini (2016) Slicing aspect-oriented program using aspect- oriented dependence flow graph for software maintenance. PhD thesis, Universiti Putra Malaysia.

Abstract / Synopsis

Program slicing is useful for debugging, testing, and maintaining software systems due to availability of information about the structure and relationship of the program modules. In general, program slicing can be performed either based on control flow graph (CFG) or dependence graph (DG). However, in the case of aspect-oriented programming (AOP), aspect-oriented control flow graph (AOCFG) or aspect-oriented dependence graph (AODG) individually is not enough to model the features of Aspectoriented (AO) programs. Thus, a suitable graph model for aspect-oriented program slicing is required to gather information on the structure of aspect-oriented programs. In this thesis, the concept of slicing aspect-oriented programs for maintenance purpose is proposed. In order to aid in slicing an aspect-oriented program, a graph model known as Aspect-Oriented Dependence Flow Graph (AODFG) is proposed to represent the structure of aspect-oriented programs. The graph is formed by merging AOCFG and AODG. As a consequence, more information about dependencies involving the features of AOP, such as join point, advice, aspects, their related constructs, and the flow of control are able to be gathered. Based on AODFG, slicing criteria are defined for aspectoriented features. A prototype tool called Aspect-Oriented Slicing Tool (AOST) was developed to implement AODFG. The prototype tool was evaluated for its applicability by checking the consistency of output by analysing ten AspectJ programs taken from AspectJ Development Tools. The analysis showed the outputs from the prototype are consistent with those from AODG and AOCFG. Furthermore, a one-shot experimental case study involving experts was conducted to find out the effect of AOST in terms of effectiveness, understandability, and modifiability for maintenance purpose. The results of the experiement show positive responses which are more than 85% of the experts says that AOST supports their understanding of the programs structure, helps in identifying aspect-oriented features, and effectively represents the program structure.

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Additional Metadata

Item Type: Thesis (PhD)
Subject: Software maintenance
Subject: Debugging in computer science - Computer programs
Call Number: FSKTM 2016 47
Chairman Supervisor: Professor Abdul Azim Abdul Ghani, PhD
Divisions: Faculty of Computer Science and Information Technology
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 01 Jul 2019 15:08
Last Modified: 01 Jul 2019 15:08
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