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Finding the best learning to rank algorithms for effort-aware defect prediction.

X. Yu, H. Dai, L. Li, X. Gu, J. Keung, K. Bennin, F. Li, and J. Liu. Inf. Softw. Technol., (May 2023)

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Balbina Ebong

Mohamed Eboe

Carl Ebobissé

Imeyen Ebong

Epiemembong Louis Ebong

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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.W. Poon, K. Bennin, J. Huang, P. Phannachitta, and J. Keung. QRS, page 434-441. IEEE, (2017)MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction.K. Bennin, J. Keung, P. Phannachitta, A. Monden, and S. Mensah. ICSE, page 699. ACM, (2018)Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications.Y. Li, J. Keung, K. Bennin, X. Ma, Y. Huang, and J. Zhang. APSEC, page 121-130. IEEE, (2023)A Stratification and Sampling Model for Bellwether Moving Window.S. Mensah, J. Keung, M. Bosu, K. Bennin, and P. Kudjo. SEKE, page 481-486. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2017)Building Defect Prediction Models by Online Learning Considering Defect Overlooking.N. Fedorov, Y. Yamasaki, M. Tsunoda, A. Monden, A. Tahir, K. Bennin, K. Toda, and K. Nakasai. CoRR, (2024)Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance.K. Bennin, N. Ali, J. Börstler, and X. Yu. QRS, page 53-59. IEEE, (2020)Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry During Unprecedented Global Challenges.Y. Li, J. Keung, K. Bennin, X. Ma, J. Zhang, and Z. Yang. COMPSAC, page 682-691. IEEE, (2024)Rework Effort Estimation of Self-admitted Technical Debt.S. Mensah, J. Keung, M. Bosu, and K. Bennin. QuASoQ/TDA@APSEC, volume 1771 of CEUR Workshop Proceedings, page 72-75. CEUR-WS.org, (2016)Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study.S. Mensah, J. Keung, S. MacDonell, M. Bosu, and K. Bennin. IEEE Trans. Reliability, 67 (3): 1176-1198 (2018)Revisiting the size effect in software fault prediction models.A. Tahir, K. Bennin, S. MacDonell, and S. Marsland. ESEM, page 23:1-23:10. ACM, (2018)

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Disambiguation of "Bennin, Kwabena Ebo"

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Finding the best learning to rank algorithms for effort-aware defect prediction.

Please choose a person to relate this publication to

Balbina Ebong

Mohamed Eboe

Carl Ebobissé

Imeyen Ebong

Epiemembong Louis Ebong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bennin, Kwabena Ebo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Finding the best learning to rank algorithms for effort-aware defect prediction.

Please choose a person to relate this publication to

Balbina Ebong

Mohamed Eboe

Carl Ebobissé

Imeyen Ebong

Epiemembong Louis Ebong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Finding the best learning to rank algorithms for effort-aware defect prediction.