An Integrated Software Reliability Tool

ROBUST is a tool for analyzing and predicting the growth of software reliability based on a number of software reliability growth models. It supports four traditional software reliability growth models, as well as Malaiya’s Logarithmic Coverage Model. Capable of working with either time or failure interval data, ROBUST allows for a wide variety of enhancement techniques to be applied to the models it supports. ROBUST is capable of computing a number of metrics for its data sets, including the Laplace factor and the mean relative error. An early version of ROBUST is available for many Unix systems and for Microsoft Windows 95/NT. To obtain a copy for evaluation and testing, contact the authors at the address above. ROBUST is the result of research conducted by Dr. Yashwant Malaiya, Dr. Naixin Li, and Jason Denton. It is supported by a BMDO funded project monitored by ONR.