1. Software Reliability Estimation Based on Cubic Splines.
- Author
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Bandara, P. L. M. Kelani, Wikramanayake, G. N., and Goonethillake, J. S.
- Subjects
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COMPUTER software development , *RELIABILITY (Personality trait) , *ARTIFICIAL neural networks , *ARTIFICIAL intelligence , *POISSON processes - Abstract
Software reliability is one of the most important software quality attribute and Software reliability estimation is a hard problem to solve accurately. However for management of software quality and standard practice of the organization, accurate reliability estimation is important. Non-homogeneous Poisson Process (NHPP) models and Artificial Neural Network (ANN) models are among the most important software reliability growth models. In this paper we study an approach using past fault-related data with cubic spline Network model to estimate reliability. A numerical example is shown with simulated datasets. The example shows that the proposed model accurately estimate the software reliability. [ABSTRACT FROM AUTHOR]
- Published
- 2009