Reliability of software has been analyzed using some existing mathematical models often termed as software reliability growth models(SRGM ). We have considered Yamada Delayed S shaped model and incorporated the fault dependency, debugging time lag and imperfect debugging . Results shows that reliability of software gets improved under imperfect debugging General TermsReliability, SRGM .

The paper present study of reliability of system consisting of electronic or mechanical components. These components perform different function and failure of any component causes failure of entire system. Every system has its life and failure is inevitable, therefore objective of reliability study is to ensure that system works up to its life without failure. In this paper we have applied C-H-A algorithm to bridge system and developed Reliability expression for it.

The paper presents NHPP software reliability growth model exhibiting efficient debugging phenomenon. In efficient debugging, cumulative faults corrected more than the faults responsible for software failures. Proposed model incorporates time dependent exponential fault content function and I/D pattern of learning process. Parameters are estimated by LSE and goodness of fit is performed. Determination of MSE and indicates model is fit better to given dataset. Finally software reliability has been analyzed.

IDistributed Computing refers to the solution of a problem by distributed systems of autonomous and heterogeneous computers that are used in communication, networking, and workstation. Distributed computing is a computing technology that allows multiple computers to solve the same problem. Here problem-solving is achieved by communicating and executing the tasks in a distributed environment. Distributed Computing helps in performing computational tasks much faster than single computers. The objective of the problem present in this paper is to optimize the Processor Execution Cost and find the optimum combination which gives the reduced processor execution cost in the distributed computing environment and further provides the reduced program service cost as well as reliability. The algorithm for the present problem is executed in the open-source R programming language for optimization.

In software reliability analysis various authors have used Burr type XII distribution to model the failure pattern of the system due to its wide variety of flexible shapes. In particular cases it can be reduced to Exponential, Normal, Weibull, Log-logistic, Gamma distributions etc. In proposed paper software reliability growth model has been developed incorporating fault removal efficiency (FRE) and Burr type XII based testing effort function. FRE represents fraction of detected faults which are removed completely. Parameters of model are predicted by LSE whereas MSE is used to perform comparison analysis. Results validate better fitting of data set.