The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
DECOR: A Method for the Specification and Detection of Code and Design Smells
Open accessAbstract
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.
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Cited by
Quantifying the Effect of Code Smells on Maintenance Effort
Sjoberg, D. I. K., Yamashita, A., Anda, B. C. D., Mockus, A., & Dyba, T. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.89 · Cited by 316
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Self-citationMacia, I., Garcia, J., Popescu, D., Garcia, A., Medvidovic, N., & von Staa, A. (2012) · Proceedings of the 11th annual international conference on Aspect-oriented Software Development · doi:10.1145/2162049.2162069 · Cited by 111
DeleSmell: Code smell detection based on deep learning and latent semantic analysis
Zhang, Y., Ge, C., Hong, S., Tian, R., Dong, C., & Liu, J. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.109737 · Cited by 54
Detecting architecturally-relevant code smells in evolving software systems
Bertran, I. M. (2011) · Proceedings of the 33rd International Conference on Software Engineering · doi:10.1145/1985793.1986003 · Cited by 28
Metadata
- Authors
- Moha, N., Gueheneuc, Y.-G., Duchien, L., & Le Meur, A.-F.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2010-01
- Volume
- 36
- Issue
- 1
- Pages
- 20-36
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2151295763
- Cited by
- 803
- References
- 38
- FWCI
- 60.91
- Type
- journal article
- Language
- en
- Open access
- green
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