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Testing Aspect-Oriented Programs

Authors: Rodrigo M. L. M. Moreira; Ana C. R. Paiva; Ademar Aguiar;

Testing Aspect-Oriented Programs

Abstract

This work addresses software quality issues introduced by Aspect-Oriented Programming (AOP). AOP aims at enhancing modularity and thus solving the problem of crosscutting concerns by capturing them into new units of modularity called aspects. With the increasing usage and acceptance of AOP, the task of assuring aspect-oriented systems' correctness has become a challenge, mainly due to its nature. Although several testing techniques have been applied and improved for object-oriented programs through the years, there is still the problem of selecting and verifying which ones can be effectively applied to AOP. This paper presents a perspective on how AOP can improve quality (when applied correctly), identifies a set of key testing issues that arise with AOP and presents weaknesses and strengths of the existing solutions to improve quality in AOP.

Country
Portugal
Related Organizations
Keywords

Computer technology, Computer and information sciences, Tecnologia de computadores, Ciências da computação e da informação, Ciências exactas e naturais::Ciências da computação e da informação, Natural sciences::Computer and information sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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