2008
An Over-sampling Method for Analogy-based Software Effort Estimation
ESEM'08: PROCEEDINGS OF THE 2008 ACM-IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT
- ,
- ,
- ,
- First page
- 312
- Last page
- +
- Language
- English
- Publishing type
- Research paper (international conference proceedings)
- Publisher
- ASSOC COMPUTING MACHINERY
This paper proposes a novel method to generate synthetic project cases and add them to a fit dataset for the purpose of improving the performance of analogy-based software effort estimation. The proposed method extends conventional over-sampling method, which is a preprocessing procedure for n-group classification problems, which makes it suitable for any imbalanced dataset to be used in analogy-based system. We experimentally evaluated the effect of the over-sampling method to improve the performance of the analogy-based software effort estimation by using the Desharnais dataset. Results show significant improvement to the estimation accuracy by using our approach.
- Link information
- ID information
-
- Web of Science ID : WOS:000266371500044