A Novel Method for Early Software Quality Prediction Based on Support Vector Machine

Authors:
Fei Xing;Ping Guo;Michael R. Lyu
Affiliations:
Beijing Normal University;Beijing Normal University and Chinese University of Hong Kong;Chinese University of Hong Kong
Venue:
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
Year:
2005

Citing 0
Cited 16

Applying machine learning to software fault-proneness prediction

Journal of Systems and Software
Towards a generic model for software quality prediction

Proceedings of the 6th international workshop on Software quality
Software quality analysis by combining multiple projects and learners

Software Quality Control
Predicting Upgrade Project Defects Based on Enhancement Requirements: An Empirical Study

ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Fault-prone module prediction of a web application using artificial neural networks

SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Cost-sensitive boosting neural networks for software defect prediction

Expert Systems with Applications: An International Journal
A symbolic fault-prediction model based on multiobjective particle swarm optimization

Journal of Systems and Software
An FIS for early detection of defect prone modules

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
A novel composite model approach to improve software quality prediction

Information and Software Technology
Combining techniques for software quality classification: An integrated decision network approach

Expert Systems with Applications: An International Journal
Review: Software fault prediction: A literature review and current trends

Expert Systems with Applications: An International Journal
Software defect prediction using fuzzy support vector regression

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Locality preserving projection on source code metrics for improved software maintainability

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Personalized Reliability Prediction of Web Services

ACM Transactions on Software Engineering and Methodology (TOSEM)
Comparative analysis of software reliability predictions using statistical and machine learning methods

International Journal of Intelligent Systems Technologies and Applications
Applications of fuzzy integrals for predicting software fault-prone

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.01

Visualization

Abstract

Teachers can learn many lessons by examining experiences in teaching SRE to software practitioners and analyzing their feedback. I have taught several thousand participants over 15 years in a wide variety of organizations and applications. Participants ...