• Mekhala Sridevi Sameera

Software reliability is a unique feature of reliability engineering. Software System reliability, by means of characterization, comprises all components of the system. The software reliability consist hardware, software, sustaining infrastructure, operators and measures. Software reliability is an important concept in software quality assurance. The process of software reliability can be classified into 3 major components: modeling, measurement and enhancement. Software reliability modeling has expanded to the position that significant outcomes can be acquired by placing appropriate prototypes to the problem. We have various numerous models be present to measure software reliability, but no particular model can confine an important magnitude of the software characteristics. The problem can be simplified and ease using hypothesis and concepts. This paper presents summary of Software Reliability measurement and improvement techniques and also observe various kinds of improvement strategies for software reliability, nevertheless, we have no particular prototype that is common to all the circumstances. We also studied various methods for the evaluation of software reliability like fuzzy method, neuro-fuzzy method, artificial neural network method, genetic algorithm method, Bayesian classification method, support vector machine (SVM) method, Self-organizing map method.

Software reliability; software quality; reliability measurement; Hypothesis;

"A SURVEY ON SOFTWARE RELIABILITY AND MEASUREMENT TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.379-382, November-2018, Available :http://www.jetir.org/papers/JETIR1810754.pdf

"A SURVEY ON SOFTWARE RELIABILITY AND MEASUREMENT TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp379-382, November-2018, Available at : http://www.jetir.org/papers/JETIR1810754.pdf