Heterogeneous defect prediction with two-stage ensemble learning
Author:
Funder
NSFC-Key Project of General Technology Fundamental Research United Fund
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
http://link.springer.com/content/pdf/10.1007/s10515-019-00259-1.pdf
Reference80 articles.
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3. Camargo Cruz, A.E., Ochimizu, K.: Towards logistic regression models for predicting fault-prone code across software projects. In: ESEM, pp. 460–463 (2009)
4. Canfora, G., Lucia, A.D., Penta, M.D., Oliveto, R., Panichella, A., Panichella, S.: Defect prediction as a multiobjective optimization problem. Softw. Test. Verif. Reliab. 25(4), 426–459 (2015)
5. Chen, L., Fang, B., Shang, Z., Tang, Y.: Negative samples reduction in cross-company software defects prediction. Inf. Softw. Technol. 62, 67–77 (2015)
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