Paper Info
Title
Methods to Predict the Number of Software Faults Using Weibull Distribution
Abstract
Quality improvement and control of software is an important agenda for software development firms and, thus, many companies has been conducting measurement and prediction of quality using metrics. As a method to predict the quality based on a history of removed faults of relevant project, there is the Rayleigh model. This model uses the fact that the rate of removed faults per unit of time generally follows the distribution of Rayleigh. However, in the Rayleigh model, the rate of removed faults of some projects do not follow the Rayleigh distribution, thus the gap between the predicted value and performance value becomes significant. Therefore, this study aims to develop a method of predicting numbers of faults that can also predict the quality, by using the quality standard value which shows the Weibull distribution and the knowledge level for software development. Additionally, the evaluation result shows that this method has better prediction accuracy than the Rayleigh model.
Year
DOI
Venue
2016
10.1109/COMPSAC.2016.154
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)
Keywords
Field
DocType
Software fault prediction,Quality management,Rayleigh model,Weibull distribution,Waterfall mode
Computer science,Weibull distribution,Software,Reliability engineering
Conference
Volume
ISSN
ISBN
2
0730-3157
978-1-4673-8846-7
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Koji Tanaka133.22
Kazuhiko Tsuda210847.18