Research on the Improvement of Aerospace Software Test Model Based on V Model
Science Discovery
Volume 6, Issue 2, April 2018, Pages: 110-115
Received: Jun. 20, 2018; Published: Jun. 22, 2018
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Authors
Hu Xiaoxi, Beijing Institute of Spaceflight Control Instruments, Beijing, China
Niu Jing, Beijing Institute of Spaceflight Control Instruments, Beijing, China
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Abstract
The software industry has endured a long and tortuous development process from the beginning to the present, from small scale, low complexity of software development to the large scale of application of software products, software testing plays an important role, the early software debugging has been evolved into software testing now. With the rapid development of space industry in China, the position of software in it has been more and more important, software testing is very significant throughout the software development process, therefore software testing needs more concern. Based on the theory of software testing in software engineering, combined with the practice in work, the current problems in aerospace software testing, how to find existing problems and new testing methods in order to improve the quality of aerospace software. The traditional V model requires that each testing phase could proceed only after the previous stage completed, and there is no backtracking. We cannot adjust and modify the model when problems are found. In order to overcome the shortcomings of traditional V model, the paper puts forward an improved method of aerospace software model based on V model. By iterating over the various stages testings of software development, this method enhances intersections and comprehensiveness, so as to achieve the aim of reducing the number of testing problems and providing effective solutions for the aerospace software testing problems.
Keywords
Test Model, V-Model, V Model Improved
To cite this article
Hu Xiaoxi, Niu Jing, Research on the Improvement of Aerospace Software Test Model Based on V Model, Science Discovery. Vol. 6, No. 2, 2018, pp. 110-115. doi: 10.11648/j.sd.20180602.16
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