A Software Testing Optimization Method Based on Negative Association Analysis

DOI

10.2991/amcce-15.2015.329How to use a DOI?

Keywords

Software defect; data matrix; negative association rules; software testing optimization

Abstract

Association rules mining oriented to software defect data plays a significant role in exploring the relationship between software defect data. What’s more, it can provide guidance for software developers and testers. What negative association rules describe is mutually exclusive relationship between the different projects, which has very important significance. By introducing vector space model and data matrixes, a novel software testing optimization method based on negative association analysis which is named GMNAR is proposed. And it is proved effective and efficient through experiments.

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  - Lin Wan
AU  - Qiuling Fan
AU  - Qinzhao Wang
PY  - 2015/04
DA  - 2015/04
TI  - A Software Testing Optimization Method Based on Negative Association Analysis
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.329
DO  - 10.2991/amcce-15.2015.329
ID  - Wan2015/04
ER  -