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Defining and Detecting Bad Smells of Aspect-Oriented Software
Beijing, China July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.1032007 31st Annual International Comput ...
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Komsan Srivisut, Pornsiri Muenchaisri, "Defining and Detecting Bad Smells of Aspect-Oriented Software," Computer Software and Applications Conference, Annual International, vol. 1, pp. 65-70, 2007 31st Annual International Computer Software and Applications Conference, 2007.
 
 
BibTex
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@article{ 10.1109/COMPSAC.2007.103,
author = {Komsan Srivisut and Pornsiri Muenchaisri},
title = {Defining and Detecting Bad Smells of Aspect-Oriented Software},
journal ={Computer Software and Applications Conference, Annual International},
volume = {1},
year = {2007},
issn = {0730-3157},
pages = {65-70},
doi = {http://doi.ieeecomputersociety.org/10.1109/COMPSAC.2007.103},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - Defining and Detecting Bad Smells of Aspect-Oriented Software
SN - 0730-3157
SP65
EP70
A1 - Komsan Srivisut,
A1 - Pornsiri Muenchaisri,
PY - 2007
KW - null
VL - 1
JA - Computer Software and Applications Conference, Annual International
ER -
 
Komsan Srivisut, Chulalongkorn University, Bangkok, Thailand
Pornsiri Muenchaisri, Chulalongkorn University, Bangkok, Thailand
Bad Smells are software patterns that are generally associated with bad design and bad programming. They can be removed by using the refactoring technique which improves the quality of software. Aspect-Oriented (AO) software development, which involves new notions and the different ways of thinking for developing software and solving the crosscutting problem, possibly introduces different kinds of design flaws. Defining bad smells hidden in AO software in order to point out bad design and bad programming is then necessary. This paper proposes the definition of new AO bad smells. Moreover, appropriate existing AO refactoring methods for eliminating each bad smell are presented. The proposed bad smells are validated. The results show that after removing the bad smells by using appropriate refactoring methods, the software quality is increased.
Citation:
Komsan Srivisut, Pornsiri Muenchaisri, "Defining and Detecting Bad Smells of Aspect-Oriented Software," compsac, vol. 1, pp.65-70, 2007 31st Annual International Computer Software and Applications Conference, 2007
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