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Prediction of Software Readiness Using Neural Network
http://hdl.handle.net/20.500.12678/0000004594
http://hdl.handle.net/20.500.12678/00000045947da3d304-f18b-494a-b1cb-14ff73f5db1b
cd71f777-377f-4933-af34-d714dd831db0
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Title | ||||||
Title | Prediction of Software Readiness Using Neural Network | |||||
Language | en | |||||
Publication date | 2002 | |||||
Authors | ||||||
Thwin, Mie Mie Thet | ||||||
Quah, Tong Seng | ||||||
Description | ||||||
In this paper, we explore the behaviour of neuralnetwork in predicting software readiness. Our neural networkmodel aims to predict the number of faults (including objectoriented faults) of a software under development. We use Wardneural network that is a backpropagation network with differentactivation functions. Different activation functions are applied tohidden layer slabs to detect different features in a patternprocessed through a network. In our experiments, hyperbolictangent, Gaussian, Gaussian-complement and linear functions areused as activation functions to improve prediction. This paperalso compares the prediction results from multiple regressionmodel and neural network model. Object-oriented design metricsare used as the independent variables in our study. Our study isconducted on three industrial real-time systems that contain anumber of natural faults that has been reported over a period ofthree years. | ||||||
Keywords | ||||||
Neural Networks, Object-oriented Design Metrics, QA in Software Development, Readiness, Reliability | ||||||
Identifier | 1-86467-114-9 | |||||
Journal articles | ||||||
Proceedings of the First International Conference on Information Technology and Applications (ICITA 2002) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |