In the software development life cycle, quality and reliability of are critical to developers. Poor not only cause loss customers sales but also increase operational risk due unreliable codes. Therefore, developers should try their best reduce such potential defects by undertaking a testing project. However, pursue perfect faultless is unrealistic since budget, time, resources limited, need rea...

In software development process, testing is one of the most important aspects and hence, software reliably is very important factor of software systems. In the last four decades many software reliability growth model based on non-homogeneous Poisson process (NHPP) have been developed which incorporates testing effort function. However, the previous models are quite helpful for software engineer...

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Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we proposed a control mechanism based on order statistics of...

In this study, an imperfect debugging software reliability growth model (SRGM) with Bayesian analysis was proposed to determine optimal release in order minimize testing costs and also enhance the practicability. Generally, it is not easy estimate parameters by applying MLE (maximum likelihood estimation) or LSE (least squares insufficient historical data. Therefore, situation of data, method c...