MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction von Bennin, Kwabena Ebo, Keung, Jacky, Phannachitta, Passakorn, Monden, Akito, Mensah, Solomon

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Developers talking about code quality von Börstler, Jürgen, Bennin, Kwabena E., Hooshangi, Sara, Jeuring, Johan, Keuning, Hieke, Kleiner, Carsten, MacKellar, Bonnie, Duran, Rodrigo, Störrle, Harald, Toll, Daniel, van Assema, Jelle

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Drone Technologies: a Tertiary Systematic Literature Review on a Decade of Improvements von Doornbos, Jurrian, Bennin, Kwabena E., Babur, Onder, Valente, Joao

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Exploring the role of decision support systems in promoting healthier and more sustainable online food shopping: A card sorting study von Jansen, Laura Z.H., Van Loo, Ellen J., Bennin, Kwabena E., van Kleef, Ellen

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Does class size matter? An in-depth assessment of the effect of class size in software defect prediction von Tahir, Amjed, Bennin, Kwabena E., Xiao, Xun, MacDonell, Stephen G.

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A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders von Attwell, Geertruida Aline, Bennin, Kwabena Ebo, Tekinerdogan, Bedir

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Further investigation of the survivability of code technical debt items von Zabardast, Ehsan, Ebo Bennin, Kwabena, Gonzalez‐Huerta, Javier

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On the relative value of data resampling approaches for software defect prediction von Bennin, Kwabena Ebo, Keung, Jacky W., Monden, Akito

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A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms von HAYAKAWA, Teruki, TSUNODA, Masateru, TODA, Koji, NAKASAI, Keitaro, TAHIR, Amjed, BENNIN, Kwabena Ebo, MONDEN, Akito, MATSUMOTO, Kenichi

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Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM von Yu, Xiao, Liu, Jin, Keung, Jacky Wai, Li, Qing, Bennin, Kwabena Ebo, Xu, Zhou, Wang, Junping, Cui, Xiaohui

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On the Application of Bandit Algorithm for Selecting Clone Detection Methods von TSUNODA, Masateru, KUDO, Takuto, MONDEN, Akito, TAHIR, Amjed, BENNIN, Kwabena Ebo, TODA, Koji, NAKASAI, Keitaro, MATSUMOTO, Kenichi

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Selecting Source Code Generation Tools Based on Bandit Algorithms von TSUNODA, Masateru, SHIMA, Ryoto, TAHIR, Amjed, BENNIN, Kwabena Ebo, MONDEN, Akito, TODA, Koji, NAKASAI, Keitaro

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Building Defect Prediction Models by Online Learning Considering Defect Overlooking von FEDOROV, Nikolay, YAMASAKI, Yuta, TSUNODA, Masateru, MONDEN, Akito, TAHIR, Amjed, BENNIN, Kwabena Ebo, TODA, Koji, NAKASAI, Keitaro

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The Impact of Defect (Re) Prediction on Software Testing von MURAKAMI, Yukasa, YAMASAKI, Yuta, TSUNODA, Masateru, MONDEN, Akito, TAHIR, Amjed, BENNIN, Kwabena Ebo, TODA, Koji, NAKASAI, Keitaro

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A machine learning algorithm for personalized healthy and sustainable grocery product recommendations von Jansen, Laura Z.H., Bennin, Kwabena E.

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An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction von Bennin, Kwabena Ebo, Tahir, Amjed, MacDonell, Stephen G., Börstler, Jürgen

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Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning von Yu, Xiao, Wu, Man, Jian, Yiheng, Bennin, Kwabena Ebo, Fu, Mandi, Ma, Chuanxiang

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On the value of a prioritization scheme for resolving Self-admitted technical debt von Mensah, Solomon, Keung, Jacky, Svajlenko, Jeffery, Bennin, Kwabena Ebo, Mi, Qing

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On the application of image augmentation for plant disease detection: A systematic literature review von Antwi, Kwame, Bennin, Kwabena Ebo, Pobi Asiedu, Derek Kwaku, Tekinerdogan, Bedir

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Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study von Mensah, Solomon, Keung, Jacky, MacDonell, Stephen G., Bosu, Michael Franklin, Bennin, Kwabena Ebo

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