Adaptive test method for software
A test method and self-adaptive technology, applied in the field of software self-adaptive test, can solve problems such as small test cost, small variance of reliability evaluation, and unknown nature of test objects, so as to improve defect detection efficiency, improve stability, and test cheap effect
Inactive Publication Date: 2006-05-10
BEIHANG UNIV
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Problems solved by technology
(1) No test history information is introduced, and a large amount of test information (for example, the validity of test cases) is not used to guide the next test behavior;
(2) There is no online estimation of the parameters of the measured object and the properties of the object
(1) Lack of improvement to the testing process, the most effective testing process cannot be obtained;
(2) Do not know the nature of the test object, it is difficult to achieve the given test goal (for example, the test cost is the smallest, the variance of the reliability evaluation is the smallest)
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Abstract
Disclosed is a software self-adapting test method which comprises: 1. according to controllable Markov chain mode to get equation: v(j)ú¢min{wj(i) / jª’i+v(j-1ú”jú¢2ú¼3ú¼Kú¼N; 2. according to controller equation, in the process of software test, each selected test decision should meet the need: Atú¢argmin{w(i) / ª’i}; 3. if parameter N and ª’i is known for tested software, getting test decision from the equation and going on testing software; 4. employing self-adaptive test to evaluate parameter (N andª’i) online in each test; 5. employing evaluated value to get optimal test decision to test until remove all bugs.
Description
Technical field The invention relates to a software defect testing method, in particular to a software self-adaptive testing method. Background technique The adaptive control system is to know the controlled object in real time online, and continuously adjust the controller to make the performance of the system meet the technical requirements or optimal. The self-adaptive system has three elements: one is online real-time understanding of objects; Adaptive control can be divided into direct adaptive control and indirect adaptive control. In indirect adaptive control, the parameters of the controlled object are unknown. First, the parameters of the object are estimated online, and the estimated values are used to adjust the parameters of the controller to make the system performance indicators meet the requirements; while in direct adaptive control, the parameters of the object are not estimated. Improve system performance directly by tuning controller parameters. The ...
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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
Inventor 蔡开元胡海顾博白成刚李永超江昌海
Owner BEIHANG UNIV
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