Abstract: Software progress package enhancement has assisted in windup about trustworthy software produce. At this point, SPC (Statistical Process Control) can be special program of procedure running about performance of numerical algorithm. Henceforth, the value of mean value functions of inverse Rayleigh and Rayleigh distribution in order to develop proper mean control chart were projected. In this study, a control tool was established on time among failures observations using inverse Rayleigh and Rayleigh distribution property was planned using Non Homogeneous Poisson Process (NHPP). It is significant to use the finest chart using the specified statistics, state and requirement. The failure control chart has revealed using control signals, i.e., less the lower control limit. Consequently, the planned mean value chart signs out of control state at previous prompt than the condition in failure time switch chart. By taking reasonable measures from the initial discovery of software failure time will progress the software reliability. When the failure time among failures is less than lower control limit, it can be investigated using assignable sources from characteristic main process. In this object, from management quality side, Rayleigh distribution model is determined than inverse Rayleigh distribution more efficient model.