Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Research and Application of Automated Testing Tool Based on STAF

Authors
Yu Shang, XiaoLi Zhang, YanBin Feng, Momo Li
Corresponding Author
Yu Shang
Available Online March 2013.
DOI
10.2991/iccsee.2013.585How to use a DOI?
Keywords
Automated testing, Regression testing, STAF, STAX.
Abstract

To improve the efficiency of automated testing, reduce testing spending, This article brings out a new automation testing framework—WTAF, and automated regression testing is the focus of the study. First of all, we choose the open source automation framework —STAF for regression testing , And then utilize STAF services to link all testing process implemented during the regression testing. Using automation testing technology, WTAF can successfully solve the low efficiency problem existed in manual or semi-automation testing.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.585How to use a DOI?
Copyright
© 2013, 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  - Yu Shang
AU  - XiaoLi Zhang
AU  - YanBin Feng
AU  - Momo Li
PY  - 2013/03
DA  - 2013/03
TI  - Research and Application of Automated Testing Tool Based on STAF
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2336
EP  - 2339
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.585
DO  - 10.2991/iccsee.2013.585
ID  - Shang2013/03
ER  -