DocumentCode :
1683901
Title :
Evaluating the Lifespan of Code Smells using Software Repository Mining
Author :
Peters, Ralph ; Zaidman, Andy
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
fYear :
2012
Firstpage :
411
Lastpage :
416
Abstract :
An anti-pattern is a commonly occurring solution to a recurring problem that will typically negatively impact code quality. Code smells are considered to be symptoms of anti-patterns and occur at source code level. The lifespan of code smells in a software system can be determined by mining the software repository on which the system is stored. This provides insight into the behaviour of software developers with regard to resolving code smells and anti-patterns. In a case study, we investigate the lifespan of code smells and the refactoring behaviour of developers in seven open source systems. The results of this study indicate that engineers are aware of code smells, but are not very concerned with their impact, given the low refactoring activity.
Keywords :
data mining; public domain software; software maintenance; software quality; code quality; code smell; lifespan evaluation; open source system; recurring problem; refactoring behaviour; software repository mining; Data mining; Databases; Finite element methods; Java; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance and Reengineering (CSMR), 2012 16th European Conference on
Conference_Location :
Szeged
ISSN :
1534-5351
Print_ISBN :
978-1-4673-0984-4
Type :
conf
DOI :
10.1109/CSMR.2012.79
Filename :
6178888
Link To Document :
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