Test Data Automatic Generation Based on Modified Condition/Decision Coverage Criteria

DOI

10.2991/csic-15.2015.69How to use a DOI?

Keywords

Modified condition/decision coverage, Minimum data set, Genetic algorithm, Test data generation

Abstract

Software testing is one of the most important means that guarantee software quality and reliability. Meanwhile, improving the automation level of testing is also very important to ensure software development quality and decrease software development cost. DO-178B provides the different criteria of structure coverage for different levels of software. This paper presents a test data automatic generation method based on genetic algorithm. This approach builds the decision tree from truth table to extract the minimum data set according to modified condition/decision coverage criteria, converts the problem of testing case data generation to another problem, which is searching the optimized solution from program code by applying the genetic algorithm. At last, the analysis of experiments proves the effectiveness of the approach.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin Fan
AU  - Wei Zheng
AU  - Fengyu Yang
AU  - Qijun Liang
PY  - 2015/07
DA  - 2015/07
TI  - Test Data Automatic Generation Based on Modified Condition/Decision Coverage Criteria
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 287
EP  - 290
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.69
DO  - 10.2991/csic-15.2015.69
ID  - Fan2015/07
ER  -