Test diversity

Nikolik, Borislav

doi:10.1016/j.infsof.2006.02.001

2006-11-01

PRE

Nikolik, Borislav *

DOI：10.1016/j.infsof.2006.02.001

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摘要

En 中文

This paper describes a novel method for measuring the degree to which a set of test cases executes a given program in diverse ways with respect to the two fundamental programming concepts: control and data. Test diversity is a method for measuring the variety of software control flow and data flow, comprising of four new measures: conditional diversity, data diversity, standard deviation of diversity, and test orthogonality. These closely related measures could be used to evaluate the test effectiveness and the test-effort distribution of a test suite. The Diversity Analyzer is a novel industrial-strength testing tool that can currently perform diversity analysis on software written in C/C++/C#/VB/Java in Windows and NET environments. The Diversity Analyzer is used to evaluate the fault-detection effectiveness of Test Diversity on various types of industrial projects. (C) 2006 Elsevier B.V. All rights reserved.

Keyword:

testing tools

verification

theory

experimentation

conditional diversity

data diversity

standard deviation

diversity matrix

linear independence

orthogonality

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期刊

Information and Software Technology

IF:

4.3

论文数:

3.8K

被引数:

7.7K

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