ICSE 2019 (series) / MSR 2019 (series) / Technical Papers /
Lessons learned from using a deep tree-based model for software defect prediction in practice
Sun 26 May 2019 11:16 - 11:31 at Centre-Ville - Session II: Defect Prediction and Testing (Part 1) Chair(s): Patanamon Thongtanunam
Sun 26 MayDisplayed time zone: Eastern Time (US & Canada) change
Sun 26 May
Displayed time zone: Eastern Time (US & Canada) change
11:00 - 11:45 | Session II: Defect Prediction and Testing (Part 1)MSR 2019 Technical Papers at Centre-Ville Chair(s): Patanamon Thongtanunam The University of Melbourne | ||
11:00 15mFull-paper | DeepJIT: An End-To-End Deep LearningFramework for Just-In-Time Defect Prediction MSR 2019 Technical Papers Thong Hoang Singapore Management University, Singapore, Hoa Khanh Dam University of Wollongong, Yasutaka Kamei Kyushu University, David Lo Singapore Management University, Naoyasu Ubayashi Kyushu University | ||
11:16 15mFull-paper | Lessons learned from using a deep tree-based model for software defect prediction in practice MSR 2019 Technical Papers Hoa Khanh Dam University of Wollongong, Trang Pham Deakin University, Shien Wee Ng University of Wollongong, Truyen Tran , John Grundy Monash University, Aditya Ghose , Taeksu Kim , Chul-Joo Kim | ||
11:32 6mShort-paper | Empirical study in using version histories for change risk classification MSR 2019 Technical Papers | ||
11:39 6mShort-paper | Snoring: a Noise in Defect Prediction Datasets MSR 2019 Technical Papers Aalok Ahluwalia , Davide Falessi California Polytechnic State University, Massimiliano Di Penta University of Sannio | ||