Contribution to Book
Feature Engineering for Machine Learning and Data Analytics
Feature engineering for machine learning and data analytics
Publication Type
Book Chapter
Version
publishedVersion
Publication Date
4-2018
Abstract
This chapter provides an introduction on feature generation and engineering for software analytics. Specifically, we show how domain-specifc features can be designed and used to automate three software engineering tasks: (1) detecting defective software modules (defect prediction), (2) identifying crashing mobile app release (crash release prediction), and (3) predicting who will leave a software team (developer turnover prediction). For each of the three tasks, different sets of features are extracted from a diverse set of software artifacts, and used to build predictive models.
Discipline
Editor
Guozhu Dong, and Huan Liu
ISBN
9781138744387
Identifier
10.1201/9781315181080-13
Publisher
CRC Press
City or Country
Boca Raton, FL
Copyright Owner and License
Authors
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
https://doi.org/10.1201/9781315181080-13
Citation Information
Xin XIA and David LO. "Feature Engineering for Machine Learning and Data Analytics" Feature engineering for machine learning and data analytics (2018) p. 335 - 358 Available at: http://works.bepress.com/david_lo/259/