Estimation of Program Reverse Semantic Traceability Influence at Program Reliability with Assistance of Object-Oriented Metrics

V.Rogalchuk, A.Tyrva, A.Khomonenko

Anatoly Khomonenko

In article the approach to the estimation of program reverse semantic traceability (RST) influence on program reliability with assistance of object-oriented metrics is proposed. In order to estimate reasonability of RST use it is naturally to define, how it influences on major adjectives of software development project: project cost, quality of the developed application, etc.
At present object-oriented metrics of Chidamber and Kemerer are widely used for predictive estimation of software reliability at early stage of life cycle. In row of works, for example, [6-7], it is proposed to use logistic regression for estimation of probability π (that a module will have a fault). The parameters of this model find by maximal likelihood method with calculation of object-oriented metrics.
In a paper it is shown how to change the software reliability model parameters, that was received using logistic regression, in order to estimate influence of program RST on program reliability.

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Alexey Tyrva

Bio

Alexey V. Tyrva is a postgraduate student of Petersburg State Transport University. Alexey has a practical experience of software development for railway. Software quality modeling is among his scientific interests.