@inproceedings{d6741e0f1a41435ebe9caaac4a8b4df7,
title = "Dynamic Random Testing Strategy for Test Case Optimization in Cloud Environment",
abstract = "Dynamic Random Testing (DRT) strategy employs feedback mechanism to guide the selection of test cases, which has shown to be effective in fault detection process. Cloud testing is the combination of cloud computing and software testing, in which the parallel mechanism is introduced to handle multiple test tasks simultaneously. The efficiency of DRT can be improved by combining it into cloud environment. However, it faces challenges in cloud testing as its test cases are selected sequentially, which does not consist with the characteristic of parallelism underlying cloud testing. In this paper, we present a cloud-based DRT strategy to adapt DRT in cloud testing, in which both the test case prioritization and resource allocation are considered. The results of the experiments show that the cloud-based DRT can improve the efficiency of original DRT and provide stable fault detection performance enhancement over other testing strategies.",
keywords = "cloud testing, dynamic random testing, resource allocation, test case selection",
author = "Hanyu Pei and Beibei Yin and Min Xie",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018 ; Conference date: 15-10-2018 Through 18-10-2018",
year = "2018",
month = nov,
day = "16",
doi = "10.1109/ISSREW.2018.000-9",
language = "英语",
series = "Proceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "148--149",
editor = "Sudipto Ghosh and Roberto Natella and Bojan Cukic and Robin Poston and Nuno Laranjeiro",
booktitle = "Proceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018",
address = "美国",
}