SRGM using Testing-Effort Function with Uncertainty in Operating Environment

Abstract

With increasing pace of technological advancement and new tech introduction in today’s word, reliability of the software has become vital. For software reliability assessment, many software reliability growth models (SRGMs) have been discussed. In literature, many of the existing SRGMs have considered uncertainty of the operating environment but very little work has included testing effort function (TEF) with uncertainty in operating environment. In this research, an SRGM incorporating Gompertz TEF has been investigated with the uncertainty of operating environment. Software testing environment is usually a controlled one with variables known to the developer, but operating environment may introduce uncontrolled and unknown variables. This model has considered a constant fault detection rate in perfect debugging environment. Further, sensitivity analysis has been done. The numerical results have been compared with existing SRGMs.