Mining the impact of evolution categories on object-oriented metrics

被引：0
|
作者：
Rocha, Henrique [1 ]
Couto, Cesar [1 ,2 ]
Maffort, Cristiano [1 ,2 ]
Garcia, Rogel [1 ]
Simoes, Clarisse [1 ]
Passos, Leonardo [3 ]
Valente, Marco Tulio [1 ]
机构：
[1] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil
[2] CEFET MG, Dept Comp, Belo Horizonte, MG, Brazil
[3] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源：
SOFTWARE QUALITY JOURNAL | 2013年 / 21卷 / 04期
关键词：
Software evolution categories; Patterns of evolution; Object-oriented metrics; CK metrics; Evolution matrix; SOFTWARE;
D O I：
10.1007/s11219-012-9186-7
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Despite the relevance of the software evolution phase, there are few characterization studies on recurrent evolution growth patterns and on their impact on software properties, such as coupling and cohesion. In this paper, we report a study designed to investigate whether the software evolution categories proposed by Lanza can be used to explain not only the growth of a system in terms of lines of code (LOC), but also in terms of metrics from the Chidamber and Kemerer (CK) object-oriented metrics suite. Our results show that high levels of recall (ranging on average from 52 to 72 %) are achieved when using LOC to predict the evolution of coupling and size. For cohesion, we have achieved smaller recall rates (< 27 % on average).
引用
收藏
页码：529 / 549
页数：21
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