A Software Reliability Modeling Method Based on Moving Points and Imperfect Debugging

A modeling method and moving point technology, applied in software testing/debugging, program control devices, etc., can solve the problems of large model fitting and prediction errors, reliability growth, insufficient model assumptions, etc., and achieve strong fitting Effects of Ability and Predictive Ability
CN104915192BActive Publication Date: 2018-07-10HARBIN ENG UNIV

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN ENG UNIV
Publication Date
2018-07-10

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Abstract

The invention discloses a software reliability modeling method based on moving points and imperfect error removing and relates to the field of software reliability growth model research. The method specifically includes the steps that firstly, software reliability modeling basic assumed conditions based on the moving points and imperfect error removing are proposed; secondly, a fault introducing rate function and a fault removing function are obtained according to the imperfect error removing phenomenon in the software testing process; thirdly, a software reliability growth model based on the moving points and imperfect error removing is obtained according to the moving point phenomenon; fourthly, a progressive adjustment method is used for obtaining the number and the positions of the moving points according to the moving point judging criteria; finally, a set of data which are published are used for verifying the precision of the model. The experiment result shows that the software reliability growth model has the better fitness effect and predictive ability.
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Description

technical field

[0001] The invention relates to the research field of software reliability growth models, in particular to a software reliability modeling method based on moving points and imperfect troubleshooting. Background technique

[0002] With the rapid development of computer technology, software is increasingly widely used in various fields of society, and the scale is getting larger and the complexity is getting higher and higher. Society's demand for software with high reliability is also increasing significantly, especially for software used in cutting-edge fields, and it is increasingly important to guarantee and predict its reliability. The focus of quality assurance and evaluation of software engineering is how to improve the reliability of software. Software Reliability Growth Model (SRGM for short) is an important means to predict and evaluate software reliability on the basis of mathematical statistics.

[0003] The essence of the software reliability gro...

Claims

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