Machine Learning for Change-Prone Class Prediction: A History-Based Approach

Rogério C. Silva, Paulo Roberto Farah, Silvia Regina Vergilio. Machine Learning for Change-Prone Class Prediction: A History-Based Approach. In Marcelo de Almeida Maia, Fabiano A. Dorça, Rafael Dias Araujo, Christina von Flach, Elisa Yumi Nakagawa, Edna Dias Canedo, editors, SBES 2022: XXXVI Brazilian Symposium on Software Engineering, Virtual Event Brazil, October 5 - 7, 2022. pages 289-298, ACM, 2022. [doi]

Abstract

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