Issue No. 01 - January/February (2010 vol. 36)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSE.2009.50
Naouel Moha , INRIA, IRISA, Université de Rennes 1, France
Yann-Gaël Guéhéneuc , École Polytechnique de Montréal, Québec
Laurence Duchien , LIFL, INRIA Lille-Nord Europe, Université de Lille, France
Anne-Françoise Le Meur , LIFL, INRIA Lille-Nord Europe, Université de Lille, France
Code and design smells are poor solutions to recurring implementation and design problems. They may hinder the evolution of a system by making it hard for software engineers to carry out changes. We propose three contributions to the research field related to code and design smells: 1) Decor, a method that embodies and defines all the steps necessary for the specification and detection of code and design smells, 2) Detex, a detection technique that instantiates this method, and 3) an empirical validation in terms of precision and recall of Detex. The originality of Detex stems from the ability for software engineers to specify smells at a high level of abstraction using a consistent vocabulary and domain-specific language for automatically generating detection algorithms. Using Detex, we specify four well-known design smells: the antipatterns Blob, Functional Decomposition, Spaghetti Code, and Swiss Army Knife, and their 15 underlying code smells, and we automatically generate their detection algorithms. We apply and validate the detection algorithms in terms of precision and recall on Xerces v2.7.0, and discuss the precision of these algorithms on 11 open-source systems.
Antipatterns, design smells, code smells, specification, metamodeling, detection, Java.
Naouel Moha, Yann-Gaël Guéhéneuc, Laurence Duchien, Anne-Françoise Le Meur, "DECOR: A Method for the Specification and Detection of Code and Design Smells", IEEE Transactions on Software Engineering, vol. 36, no. , pp. 20-36, January/February 2010, doi:10.1109/TSE.2009.50