The Research On Method Of Mobile Phone Software Testing

At present, as the most represent and popular branch in the embedded system, the industry of mobile phone's competitive has been gradually heating up. The national Ministry of Information Industry has to increase more efforts to promote the rapid development of mobile phone. The domestic cell phone based on infrastructure and R & D performance testing also gradually moved closer to a higher standard. Software testing is not only to test software product itself, but also includes software development process, it throughout the entire software life cycle, and it is the key to improve and ensure software quality and reliability.At present, the study of software testing is very extensive, but the phone's software testing has not been given attention. Mobile is the integration of software and hardware design and functionality of embedded devices, the complexity of the test is also very high. There are differences between mobile software testing and software testing in general. Also there are more common between them. This article introduces the definition of software testing, classification, the steps of software testing and the application of fuzzy decision making tests in software testing, and emphasizes the application of fuzzy decision making and the analysis of the results of the SMS business.Software testing is the important method to ensure the quality of software products, but because of the particularity and complexity of software products such as mobile phone software, the process of the testing process becomes complex and abstract. In this thesis, the project combines mobile phone SMS software testing; using software testing process'fuzzy decision-making approach, scientific handled the ambiguity factors of software testing process, and improves the credibility of quality's judgment in the testing process. Combining the fuzzy comprehensive evaluation model and fuzzy comprehensive evaluation method, to resolve the problem of the software testing process evaluation criteria and indicators for comprehensive evaluation's multiple judgment. Through extracting the data during fuzzy decision-making processing and to do one fuzzy comprehensive evaluation and two fuzzy comprehensive evaluations to analyze test's results and improve the software testing.