Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Automatic Test Case Generation for Simulation Training Software

Authors
Chunsheng Sun, Xiang Wei, Yanhong Dong
Corresponding Author
Chunsheng Sun
Available Online May 2018.
DOI
10.2991/amcce-18.2018.22How to use a DOI?
Keywords
data flow diagram; test case generation; simulation training software.
Abstract

In the virtual training simulation software, users through graphical interfaces to fullfill in-formation exchange. By adopting the method of black box testing, treating the virtual training simula-tion software as a black box and input data to drive the software running, could test the interaction of graphical interface. The test case generation method based on data flow diagram (DFD), which is characterized to form a complete set of test cases and cover the entire path of the program, could im-prove the efficiency of the test and ensure the reliability of the test results.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/amcce-18.2018.22
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.22How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Chunsheng Sun
AU  - Xiang Wei
AU  - Yanhong Dong
PY  - 2018/05
DA  - 2018/05
TI  - Automatic Test Case Generation for Simulation Training Software
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 127
EP  - 130
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.22
DO  - 10.2991/amcce-18.2018.22
ID  - Sun2018/05
ER  -