Analytical Model for Software Reliability Prediction

Authors(1) :-Rasha Gaffer M. Helali

The big evolution in software field lead to increase the need for existence of high quality quantitative measurements for both syntactic and semantic features. Considering software products in particular, we found that the most existing tools measure syntactical features only syntactic metrics- that reflect how programs represented in source code, but not what functions that programs define. In this paper, we discuss semantic metrics, which characterize the sets and functions that the programs define; now it would be a useful complement to the vast body of software metrics in use. The results of this study show how semantic metrics can be used as indicator to some factors that affect software reliability.

Authors and Affiliations

Rasha Gaffer M. Helali
Department of Computer Science, University of Bisha, Saudi Arabia

Semantic Metrics, Software Metrics, Software Quality, Syntactic Metrics

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 412-420
Manuscript Number : IJSRSET173117
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Rasha Gaffer M. Helali, " Analytical Model for Software Reliability Prediction , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.412-420, January-February-2017.
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