Prediction and Estimation of Fault Detection Process in Software Reliability Assessment

Authors

  • K.Venkata Subba Reddy

  • Prof. I. Ramesh Babu

Keywords:

software testing, software reliability, maximum likelihood

Abstract

Developing high-quality reliability models is one of the key concerns in the domain of software reliability The enhanced software reliability model ought to give superior predictions of upcoming malfunction manners calculate helpful quantities and be extensively relevant Hence an extremely significant purpose of existing software reliability study is to build up broad prediction models for a software supervisor it is imperative to be capable to foretell the upcoming performance of the fault discovery and rectification procedure The forecast is imperative for the allotment of additional testing assets and for the learning of software release troubles No solitary step only is ample to decide the most excellent constraint assessment technique on a specified dataset In reality software supervisors would have a preference to observe steadily minor proportion of the data forecasted as the more the testing procedure runs the extra costly it becomes In this direction this paper key center is to provide high-quality forecasts to evaluation procedures for software testing

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How to Cite

K.Venkata Subba Reddy, & Prof. I. Ramesh Babu. (2015). Prediction and Estimation of Fault Detection Process in Software Reliability Assessment. Global Journal of Computer Science and Technology, 15(C8), 13–17. Retrieved from https://computerresearch.org/index.php/computer/article/view/1321

Prediction and Estimation of Fault Detection Process in Software Reliability Assessment

Published

2015-05-15