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Reliability Modeling of OSS Systems based on Innovation-Diffusion Theory and Imperfect Debugging

Gandhi N., Gondwal N., Tandon A.

Annals of Computer Science and Information Systems

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2018

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Vol. 14

53--58

EN

Open Source Software (OSS) has obtained widespread popularity in last few decades due to the exceptional contribution of some well established ones like Apache, Android, MySQL, LibreOffice, Linux etc. not only in the field of information technology but also in other sectors such as research, business and education. These systems are characterized by a huge shift in development pattern they adopt in comparison to proprietary software. Reliability modeling for such systems therefore is a growing area of research now days. Number of users adopting and working on refinement of such systems post-release play an indispensible role in their reliability growth. In this paper, we have proposed a software reliability growth model (SRGM) based on Non-homogeneous Poisson process (NHPP) based on number of users, under the phenomenon of Imperfect Debugging. The renowned Bass Model from Marketing based on the Theory of Diffusion of Innovation is used to depict the user growth phenomenon. Various fault content functions are considered in proposed models to represent imperfect debugging conditions and their performance is evaluated on fault dataset of GNOME 2.0. Four goodness-of-fit criteria namely Coefficient of Determination, Mean Square Error, Predictive Ratio Risk, and Predictive Power are used to calculate the estimation accuracy of all the proposed models and it has been observed that prediction capabilities of models based on imperfect debugging phenomenon is better than model assuming perfect debugging situation.

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A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

Kaur G., Aggarwal A. G., Kedia A.

Annals of Computer Science and Information Systems

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2018

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Vol. 14

77--84

EN

For evolving trustworthy software, engrossing on uncovering process of fault in software is central. Nevertheless, during testing, modifications in the testing routine, defect gravity or testing-skill maturity and working environment, there can be notable change in fault detection rate. When this sort of pattern is observed in testing time it is called change point. In this article, we inquire a resource distribution problem that optimally distributes software developing resources among modules such that the total software development cost is minimized. In this problem the effect of chief circumstantial element of change-point is considered in each module. The constraint of pulling off the desired reliability level for every individual module is also incorporated in the formulation of the problem. An algorithm based on Karush Kuhn Tucker (KKT) optimality conditions is presented to solve the resulting non-linear optimization problem. A simulated numerical illustration has been analyzed to reflect the formulation of the case and its solution by the algorithm proposed.

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A discrete-time software reliability-growth model and its application for predicting the number of errors encountered during program testing

Worwa K.

Control and Cybernetics

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2005

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Vol. 34, no 2

589-606

EN

An approach to evaluate the number of errors encountered during the program testing process is proposed in the paper. Considerations are based on some program reliability-growth model, constructed for an assumed scheme of the program testing process. In this model the program under testing is characterized by means of the so-called characteristic matrix and the program testing process is determined by means of so-called testing strategy. The formula for determining the mean value of the predicted number of errors encountered during the program testing is obtained. This formula can be used if the characteristic matrix and the testing strategy are known. Formulae for evaluating this value when the program characteristic matrix is not known are also proposed.