@inproceedings{dbcbc479d2c74eae840702b724658687,
title = "Software testing method based on improved simulated annealing algorithm",
abstract = "This paper presents a software testing method based on the improved simulated annealing algorithm. The main idea of the method is to test the variation program through the program mutation and injecting the known defects into the program under test. By discovering the known defects in programs, we tend to find unknown defects in the original program. The method mainly includes four parts: process variation, designing the initial test case set, using intelligent algorithms to generate test cases and testing adequacy criteria based on the coverage. The core of software testing is to generate test cases automatically. Therefore the simulated annealing intelligent algorithm proposed in this paper will discriminate the sufficiency basing on defect coverage and statement coverage, to ensure the efficiency of test case generation.",
keywords = "Defect coverage, Process variation, Simulated annealing algorithm (SAA), Statement coverage, Test case generation",
author = "Kun Wang and Yichen Wang and Liyan Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014 ; Conference date: 06-08-2014 Through 08-08-2014",
year = "2014",
month = may,
day = "13",
doi = "10.1109/ICRMS.2014.7107215",
language = "英语",
series = "ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "418--421",
editor = "Yunfei En and Chunyang Ji",
booktitle = "ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety",
address = "美国",
}