Ensembling artificial bee colony with analogy-based estimation to improve software development effort prediction

• Main Authors: Shah, M. A., Abang Jawawi, D. N., Isa, M. A., Younas, M., Abdelmaboud, A., Sholichin, F.
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/93103/1/MuhammadArifShah2020_EnsemblingArtificialBeeColony.pdf; http://eprints.utm.my/id/eprint/93103/; http://dx.doi.org/10.1109/ACCESS.2020.2980236

Analogy-Based Estimation (ABE) is one of the promising estimation models used for predicting the software development effort. Researchers proposed different variants of the ABE model, but still, the most suitable procedure could not be produced for accurate estimation. In this study, an artificial B...