DocumentCode :
125290
Title :
An Investigation of Object-Oriented and Code-Size Metrics as Dead Code Predictors
Author :
Scanniello, Giuseppe
Author_Institution :
Dipt. di Mat. Inf. ed Econ., Univ. della Basilicata, Potenza, Italy
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
392
Lastpage :
397
Abstract :
In case of biological organisms, death is unambiguous. It is not the same in software engineering, where death assumes a different meaning. For example, this term can be used to indicate source code that can be removed being it unnecessary for a given software system. In this paper, the early achievements of an empirical investigation on software metrics as predictors for dead code methods in object-oriented (OO) source code have been presented. OO design metrics and traditional code-size metrics have been considered. Data on one open source software system implemented in Java have been collected. The results suggest that five of these metrics can be used as indicators for dead code methods in OO software systems.
Keywords :
Java; object-oriented methods; software metrics; Java; OO design metrics; OO software systems; OO source code; biological organisms; code-size metrics; dead code predictors; object-oriented metrics; software metrics; Analytical models; Measurement; Open source software; Predictive models; Software engineering; Software systems; Code-size metrics; Dead code; O-O design metrics; empirical study; software maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO Conference on
Conference_Location :
Verona
Type :
conf
DOI :
10.1109/SEAA.2014.67
Filename :
6928842
Link To Document :
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