Computational Mathematics for Software Reliability Engineering

By : Subburaj Ramasamy

Page No: 217-244

Abstract: 
This is an extensive tutorial introducing the state of art in Software Reliability Engineering and associated metrics. Software Reliability Engineering (SRE) encompasses many tasks such as Reliability Growth Testing (RGT) based on software reliability growth modeling, assessment of operational reliability, software release time determination and determination of estimated testing time or required testing efforts and resources. The foremost activity in SRE is Software Reliability growth modeling to plan and execute RGT which is carried out as final testing activity in the software development life cycle (SDLC) and is known in different names such as system testing. This phase in SDLC requires extensive use of Computational Mathematics to estimate parameters of the software reliability growth model (SRGM). In this paper, we will briefly discuss the various SRGM parameter estimation methodologies and conclude that the Least Squares methodology provides a satisfactory solution in all situations.

Author :
Subburaj Ramasamy
Research Professor, Machine Learning for AI and Software Reliability Engineering, 24/11 Dev Apartment, 5th Avenue, Besant Nagar, Chennai – 600090, India.
 

DOI: https://doi.org/10.32381/JCISS.2019.44.1-4.12