DocumentCode
526164
Title
The ‘deception’ of code smells: An empirical investigation
Author
Counsell, S. ; Hamza, H. ; Hierons, R.M.
Author_Institution
Sch. of Inf. Syst., Comput. & Math., Brunel Univ., Uxbridge, UK
fYear
2010
fDate
21-24 June 2010
Firstpage
683
Lastpage
688
Abstract
Code smells represent code decay and as such should be eradicated from a system to prevent future maintenance problems. A range of twenty smells described by Fowler and Beck each require varying numbers and combinations of refactorings in order to be eradicated - but exactly how many are needed when we consider related, nested refactorings is unclear. In this paper, we enumerate these refactorings when categorised according to Mantyla´s smell taxonomy. We then show how, ironically, the `smelliest´ of smells (and hence most difficult to eradicate) are actually those best understood by developers. So, code smells are not only unpleasant to have around but are deceptive in their nature and make-up. The study is thus a warning against attempting what are seemingly easily eradicated smells - these are often the smells the developer needs to be most wary of.
Keywords
chemioception; codes; collections of physical data; testing; Mantyla smell taxonomy; code decay; code smell; deception; maintenance problem; testing; Couplers; Couplings; Data mining; Feature extraction; Surgery; Switches; Taxonomy; Code smell; OO; Refactoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces (ITI), 2010 32nd International Conference on
Conference_Location
Cavtat/Dubrovnik
ISSN
1330-1012
Print_ISBN
978-1-4244-5732-8
Type
conf
Filename
5546498
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