Software defect prediction using automated machine learning

Kazuya Tanaka, Akito Monden, Zeynep Yucel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Publication statusAccepted/In press - 2019

Cite this

Tanaka, K., Monden, A., & Yucel, Z. (Accepted/In press). Software defect prediction using automated machine learning. In Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Software defect prediction using automated machine learning. / Tanaka, Kazuya; Monden, Akito; Yucel, Zeynep.

Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tanaka, K, Monden, A & Yucel, Z 2019, Software defect prediction using automated machine learning. in Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.
Tanaka K, Monden A, Yucel Z. Software defect prediction using automated machine learning. In Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2019
Tanaka, Kazuya ; Monden, Akito ; Yucel, Zeynep. / Software defect prediction using automated machine learning. Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2019.
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title = "Software defect prediction using automated machine learning",
author = "Kazuya Tanaka and Akito Monden and Zeynep Yucel",
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M3 - Conference contribution

BT - Proceedings of the International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

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