SPC for Software Reliability using Inflection S-Shaped Model

Abstract

Traditional statistical analysis methods account for natural variation but require aggregation of measurements over time,which can delay decision making.Statistical process control (SPC) is a branch of statistics that combines rigorous time series analysis methods with graphical presentation of data,often yielding insights into the data more quickly and in a way more understandble to lay decision makers .SPC and its primary tool-the control chart-provide researchers and practitioners with a method of better understanding and communicating data from software reliability improvement process efforts .This paper provides an s-shaped software reliability growth model based on the Non-Homogenous Poisson Process (NHPP).The maximum likelihood approach is used to estimate the unknown parameters of the model.

Cost Estimate Model for Software Projects using GREYWOLF Algorithm and COCOMO Model

“…These estimates can be used for assessing software reliability based on SPC (STATISTICAL PROCESS CONTROL). [4] and SPRT (SEQUENTIAL PROBABILITY RATIO TEST) [5].…”

“…Krishna Mohan,et al., and (2016) the performance of SRGM is judged by its ability to suit the software system failure data. How sensible will a mathematical model fit the information and reliableness of the software system is bestowed [4]. Kaushik, et al, (2013) investigate the employment of Back-Propagation neural networks for software system cost estimation.…”