𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An empirical study of software reliability prediction using machine learning techniques

✍ Scribed by Pradeep Kumar, Yogesh Singh

Book ID
118302209
Publisher
Springer-Verlag
Year
2012
Tongue
English
Weight
498 KB
Volume
3
Category
Article
ISSN
0975-6809

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

An empirical study of three machine lear
An empirical study of three machine learning methods for spam filtering
✍ Chih-Chin Lai πŸ“‚ Article πŸ“… 2007 πŸ› Elsevier Science 🌐 English βš– 153 KB

The increasing volumes of unsolicited bulk e-mail (also known as spam) are bringing more annoyance for most Internet users. Using a classifier based on a specific machine-learning technique to automatically filter out spam e-mail has drawn many researchers' attention. This paper is a comparative stu

A study of the exponential smoothing tec
A study of the exponential smoothing technique in software reliability growth prediction
✍ M. Xie; G. Y. Hong; C. Wohlin πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 87 KB πŸ‘ 2 views

Software reliability models can provide quantitative measures of the reliability of software systems which are of growing importance today. Most of the models are parametric ones which rely on the modelling of the software failure process as a Markov or non-homogeneous Poisson process. It has been n