An Ensemble with Encoded Inputs Arbitrated By a Recurrent Neural Network for Web Services Reliability Prediction
The rapid expansion of information technologies in almost all sectors of the society induces software in our days. Software reliability prediction becomes a very important research subject because it not just improves software quality but also can reduces development cost. In this study, I developed...
Saved in:
Published in | Journal of Electrical and Electronics Engineering Vol. 5; no. 2; p. 5 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
Oradea
University of Oradea
01.10.2012
Editura Universităţii din Oradea |
Subjects | |
Online Access | Get full text |
ISSN | 1844-6035 2067-2128 |
Cover
Summary: | The rapid expansion of information technologies in almost all sectors of the society induces software in our days. Software reliability prediction becomes a very important research subject because it not just improves software quality but also can reduces development cost. In this study, I developed a neural network based ensemble and used it to predict response time of real-world web services. [PUBLICATION ABSTRACT] |
---|---|
Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1844-6035 2067-2128 |