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A Software V&V Validity Measuring Method Based on Bayesian Theory
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A technology of Bayesian theory and measurement method, which is applied in the field of software V&V effectiveness measurement based on Bayesian theory, and can solve problems such as inaccurate effect measurement values and unreliable V&V effectiveness measurement methods
Active Publication Date: 2021-11-23
CHINA TECHENERGY +1
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[0006] In view of the above analysis, the embodiment of the present invention aims to provide a software V&V effectiveness measurement method based on Bayesian theory to solve the problems that the existing software V&V effectiveness measurement method is unreliable and the effect measurement value is inaccurate
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Embodiment 1
[0063] A specific embodiment of the present invention discloses a software V&V effectiveness measurement method based on Bayesian theory, such as figure 1 shown, including the following steps:
[0064] S1. According to the historical V&V activity data of the software, obtain the probability that all defects in V&V objects are discovered by V&V activities under each preset analysis complexity. Preferably, some typical representative analysis complexities in a specific analysis complexity interval can be selected for calculation, such as 1, 10, 20, 30, 40, 50, etc., to reduce the workload of data processing, but will not Affect the effect of this embodiment.
[0065] S2. Establish a V&V effectiveness prediction model (also called a V&V effectiveness evaluation model), and analyze and obtain V&V capability factors according to the above probability.
[0066] S3. Under the preset analysis complexity, according to the above-mentioned V&V capability factors, the probability that a...
Embodiment 2
[0071] Optimizing on the basis of Example 1, such as figure 2 As shown, the above step 1 can be further refined to include the following steps:
[0072] S11. Collect historical V&V activity data of the software under each analysis complexity.
[0073] S12. Analyze the historical V&V activity data of the software, and establish a V&V activity database. The database includes analysis complexity, and the number of V&V objects whose corresponding defects under each analysis complexity are all found by V&V activities. Total number of V&V objects discovered by V&V activity.
[0074] S13. Calculate the probability that all defects in the V&V object are discovered by the V&V activity under each analysis complexity.
[0075] The process of V&V effectiveness measurement method is as follows: image 3 shown.
[0076] Preferably, under any analysis complexity, the probability P that all defects in the V&V object are found by V&V activities 1 for
[0077]
[0078] In the formula,...
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Abstract
The invention relates to a software V&V effectiveness measurement method based on Bayesian theory, belongs to the technical field of software V&V, and solves the problems that the existing software V&V effectiveness measurement method is unreliable and the effect measurement value is inaccurate. The method comprises the following steps: obtaining the probability that all defects in V&V objects are discovered by V&V activities under each preset analysis complexity in historical V&V activities; establishing a V&V validity prediction model, and obtaining the V&V validity prediction model parameters according to the above probability analysis V&V capability factors; according to the V&V validity prediction model, obtain the probability that all defects in the current V&V object are discovered by V&V activities, and judge the software V&V validity; establish a V&V validity measurement model, and calculate the V&V objects under the above-mentioned analysis complexity that meets the requirements There is a probability that all defects will be discovered by V&V activities. This method combines empirical data and actual test data, performs data fusion based on Bayesian theory, and comprehensively gives V&V activity effectiveness indicators to make the measurement results more accurate.
Description
technical field [0001] The invention relates to the technical field of software V&V, in particular to a method for measuring the effectiveness of software V&V based on Bayesian theory. Background technique [0002] Software V&V is an effective method to ensure software quality recognized by experts in this field at this stage. [0003] At this stage, there are few researches on the measurement method of software V&V effectiveness, generally based on the V&V effectiveness measurement method given in the appendix of the IEEE1012 standard. The V&V effectiveness measurement method is to measure the effectiveness of V&V work by the ratio of the number of anomalies found in the actual V&V work (activities) to the number of anomalies found in all sources. A low V&V effect measure indicates that the software development effort is effective, or that the V&V effort needs improvement, or both; a high V&V effect measure indicates that the program development process needs improvement, ...
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