Identifying Metrics' Biases when Measuring or Approximating Size in Heterogeneous Languages

被引：0
|
作者：
Hebig, Regina [1 ]
Derehag, Jesper [2 ]
Chaudron, Michel R. V. [3 ]
机构：
[1] Univ Paris 06, Sorbonne Univ, CNRS, UMR 7606,LIP6, 4 Pl Jussieu, F-75005 Paris, France
[2] Ericsson AB, Gothenburg, Sweden
[3] Univ Gothenburg, Chalmers Univ Technol, Comp Sci & Engn Dept, Gothenburg, Sweden
来源：
2015 ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Context: To compare the effectiveness of development techniques, the size of compared software systems needs to be taken into account. However, in industry new development techniques often come with changes in the applied programming languages. Goal: Our goal is to investigate how different size metrics and approximations are biased towards the languages c and c++. Further, we investigate whether triangulation of metrics has the potential to compensate for biases. Method: We identify crucial preconditions for a triangulation and investigate on 34 open source projects, whether a set of 16 size metrics fulfills these preconditions for the languages c and c++. Results: We identify how metrics differ in their biases and find that the preconditions for triangulation are fulfilled. Conclusion: Triangulation has the potential to address language biases, but high variance among metrics and tools need to be taken into account, too.
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收藏
页码：202 / 205
页数：4
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