In this paper, we propose a testing-coverage software reliability model that considers not
only the imperfect debugging (ID) but also the uncertainty of operating environments based …

In this paper, we propose two general frameworks for deriving several software reliability
growth models based on a non-homogeneous Poisson process (NHPP) in the presence of …

Owing to release of software in multiple releases, code changes take place in software.
Because of this added complexity in software, the testing team may be unable to correct the …

Numerous software reliability growth models based on the non-homogeneous Poisson
process assume perfect debugging. Such models, including the Goel–Okumoto, delayed S …

In the past, various Software Reliability Growth Models (SRGMs) have been proposed using
different parameters to improve software worthiness. Testing Coverage is one such …

In this paper, a non homogeneous Poisson process based unified scheme for two stage fault
detection and fault correction software reliability model is proposed under realistic …

In the software development life cycle, the quality and reliability of software are critical to
software developers. Poor quality and reliability not only cause the loss of customers and …

In recent years there has been a dramatic proliferation of research on imperfect software
debugging phenomena. Software debugging is a complex process and is affected by a …

Quality of software system generally depends on how much time testing takes and what
testing methodologies are used. One attribute of quality is reliability which can be increased …

In this study, an imperfect debugging software reliability growth model (SRGM) with
Bayesian analysis was proposed to determine an optimal software release in order to …