ESTIMATE THE SOFTWARE RELIABILITY WITH RECURSIVE GO-MODEL
Keywords:
GO-model, Recursive Technique, Maximum Likelihood Method, Dot Net Platform, MatlabAbstract
The probability that software will work and produce desirable outputs for a specified time under a certain environment is called the reliability of that software. Numerous methods have been designed which can help in improving the reliability of the software which involves intensive and careful planning of testing phase and accurate decision-making. This is done with the use of software reliability analysis model or software reliability growth model. In this article, we are taking into implementation of two such models, namely Goel-Okomoto model and infection S-shaped model and we are comparing and contrasting the results obtained, to come to a conclusion as to which model is better and why. A software reliability model specifies the general form of the dependence of the failure process on the principle factors that affect it: fault introduction, fault removal, and the operational environment i.e. Software reliability modelling is done to estimate the form of the failure rate.
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