@inproceedings{ffb3bda7d33b4984a776f96f07ef4525,
title = "A grey box testing method for availability simulation software based on event tree model",
abstract = "Simulation system with random factors presents new challenges to the software testing. The random factors in availability simulation system bring the uncertain running path and it is difficult for the test personnel to construct the expected output of the program. In view of this situation, this paper proposes a grey box testing method for availability simulation software based on event tree model. Event tree model is very much in line with the modeling of discrete event simulation, and the grey box testing method effectively combines elements of black box testing and white box testing. We next build the process-level event tree models according to the features of availability simulation and then, the process of method and related standards are explored. Finally, a case analysis is presented to prove the superiority of the method.",
keywords = "availability simulation software, event tree model, grey box testing, random factors",
author = "Changhao Song and Linhan Guo and Naichao Wang and Lin Ma",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 Prognostics and System Health Management Conference, PHM 2014 ; Conference date: 24-08-2014 Through 27-08-2014",
year = "2014",
month = dec,
day = "16",
doi = "10.1109/PHM.2014.6988196",
language = "英语",
series = "Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "368--372",
booktitle = "Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014",
address = "美国",
}