A CLP framework for computing structural test data

被引:0
|
作者
Gotlieb, A
Botella, B
Rueher, M
机构
[1] Thomson CSF Detexis, Ctr Charles Nungesser, F-78851 Elancourt, France
[2] Univ Nice Sophia Antipolis, ESSI, F-06903 Sophia Antipolis, France
来源
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Structural testing techniques are widely used in the unit testing process of softwares. A major challenge of this process consists in generating automatically test data, i.e., in finding input values for which a selected point in a procedure is executed. We introduce here an original framework where the later problem is transformed into a CLP(FD) problem. Specific operators have been introduced to tackle this kind of application. The resolution of the constraint system is based upon entailment techniques. A prototype system - named INKA- which allows to handle a non-trivial subset of programs written in C has been developed. First experimental results show that INKA is competitive with traditional ad-hoc methods. Moreover, INKA has been used successfully to generate test data for programs extracted from a real application.
引用
收藏
页码:399 / 413
页数:15
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