Kwabena Ebo Bennin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 68

Top Topics

Class Imbalance

Defect Prediction

Top Venues

Inf. Softw. Technol.

Publications

Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
Building Defect Prediction Models by Online Learning Considering Defect Overlooking. CoRR (2024)
Laura Z. H. Jansen, Kwabena Ebo Bennin, Ellen van Kleef, Ellen J. Van Loo
Online grocery shopping recommender systems: Common approaches and practices. Comput. Hum. Behav. 159 (2024)
Yukasa Murakami, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
The Effect of Defect (Re) Prediction on Software Testing. CoRR (2024)
Jon Nicolas Bondevik, Kwabena Ebo Bennin, Önder Babur, Carsten Ersch
A systematic review on food recommender systems. Expert Syst. Appl. 238 (Part E) (2024)
Jurrian Doornbos, Kwabena Ebo Bennin, Önder Babur, João Valente
Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements. IEEE Access 12 (2024)
Derek Kwaku Pobi Asiedu, Kwadwo Boateng Ofori-Amanfo, Kwabena Ebo Bennin, Mustapha Benjillali, Kyoung-Jae Lee, Dennis Agyemanh Nana Gookyi, Samir Saoudi
Precision Agriculture Deep Neural Network Driven Multi-hop Plant Image Noisy Data Transmission and Plant Disease Detection. ISIVC (2024)
Ryoto Shima, Masateru Tsunoda, Yukasa Murakami, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
Selecting Source Code Generation Tools Based on Bandit Algorithms. CoRR (2023)
Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Yangyang Huang, Jingyu Zhang
Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications. APSEC (2023)
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
Software Defect Prediction by Online Learning Considering Defect Overlooking. CoRR (2023)
Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan
Reference architecture design for computer-based speech therapy systems. Comput. Speech Lang. 78 (2023)
Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu
Finding the best learning to rank algorithms for effort-aware defect prediction. Inf. Softw. Technol. 157 (2023)
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan
On the use of deep learning in software defect prediction. J. Syst. Softw. 195 (2023)
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
Software Defect Prediction by Online Learning Considering Defect Overlooking. ISSREW (2023)
Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta
Further investigation of the survivability of code technical debt items. J. Softw. Evol. Process. 34 (2) (2022)
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan
On the Use of Deep Learning in Software Defect Prediction. CoRR (2022)
Masateru Tsunoda, Akito Monden, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Masataka Nagura, Kenichi Matsumoto
Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction. MSR (2022)
Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto
Preliminary Analysis of Review Method Selection Based on Bandit Algorithms. APSEC (2022)
Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan
A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders. Sensors 22 (24) (2022)
Takeru Tabo, Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden
Clone Detection Method Selection Based on Bandit Algorithm: a Preliminary Analysis. IWSC (2022)
Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell, Jürgen Börstler
An Empirical Study on the Effectiveness of Data Resampling Approaches for Cross-Project Software Defect Prediction. CoRR (2022)
Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell, Jürgen Börstler
An empirical study on the effectiveness of data resampling approaches for cross-project software defect prediction. IET Softw. 16 (2) (2022)
Amjed Tahir, Kwabena Ebo Bennin, Xun Xiao, Stephen G. MacDonell
Does class size matter? An in-depth assessment of the effect of class size in software defect prediction. Empir. Softw. Eng. 26 (5) (2021)
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study. CoRR (2021)
Md. Alamgir Kabir, Jacky Keung, Burak Turhan, Kwabena Ebo Bennin
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study. Appl. Soft Comput. 113 (Part) (2021)
Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Kwabena Ebo Bennin, Md. Alamgir Kabir, Miao Zhang
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. Inf. Softw. Technol. 129 (2021)
Amjed Tahir, Kwabena Ebo Bennin, Xun Xiao, Stephen G. MacDonell
Does class size matter? An in-depth assessment of the effect of class size in software defect prediction. CoRR (2021)
Takuya Asano, Masateru Tsunoda, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto
Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction. ICSME (2021)
Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland
Revisiting the size effect in software fault prediction models. CoRR (2021)
Teruki Hayakawa, Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto
A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms. IEICE Trans. Inf. Syst. (2) (2021)
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation. CoRR (2021)
Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. IEEE Trans. Reliab. 69 (1) (2020)
Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta
Further Investigation of the Survivability of Code Technical Debt Items. CoRR (2020)
Kwabena Ebo Bennin, Nauman Bin Ali, Jürgen Börstler, Xiao Yu
Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance. QRS (2020)
Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang
A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction. COMPSAC (2020)
Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden
On the relative value of data resampling approaches for software defect prediction. Empir. Softw. Eng. 24 (2) (2019)
Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang
Assessing the Significant Impact of Concept Drift in Software Defect Prediction. COMPSAC (1) (2019)
Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction. SANER (2019)
Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi
Improving bug localization with word embedding and enhanced convolutional neural networks. Inf. Softw. Technol. 105 (2019)
Kwabena Ebo Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction. IEEE Trans. Software Eng. 44 (6) (2018)
Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland
Revisiting the size effect in software fault prediction models. ESEM (2018)
Xiao Yu, Man Wu, Yiheng Jian, Kwabena Ebo Bennin, Mandi Fu, Chuanxiang Ma
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning. Soft Comput. 22 (10) (2018)
Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin
Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest. EASE (2018)
Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin
Duplex output software effort estimation model with self-guided interpretation. Inf. Softw. Technol. 94 (2018)
Kwabena Ebo Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction. ICSE (2018)
Michael Franklin Bosu, Solomon Mensah, Kwabena Ebo Bennin, Diab Abuaiadah
Revisiting the Conclusion Instability Issue in Software Effort Estimation (S). SEKE (2018)
Zhendong Shi, Jacky Keung, Kwabena Ebo Bennin, Xingjun Zhang
Comparing learning to rank techniques in hybrid bug localization. Appl. Soft Comput. 62 (2018)
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study. IEEE Trans. Reliab. 67 (3) (2018)
Nachai Limsettho, Kwabena Ebo Bennin, Jacky W. Keung, Hideaki Hata, Kenichi Matsumoto
Cross project defect prediction using class distribution estimation and oversampling. Inf. Softw. Technol. 100 (2018)
Solomon Mensah, Jacky Keung, Jeffrey Svajlenko, Kwabena Ebo Bennin, Qing Mi
On the value of a prioritization scheme for resolving Self-admitted technical debt. J. Syst. Softw. 135 (2018)
Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi
Machine translation-based bug localization technique for bridging lexical gap. Inf. Softw. Technol. 99 (2018)
Kwabena Ebo Bennin, Jacky Keung, Akito Monden
Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models. APSEC (2017)
Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin, Patrick Kwaku Kudjo
A Stratification and Sampling Model for Bellwether Moving Window. SEKE (2017)
Shahid Hussain, Jacky Keung, Arif Ali Khan, Kwabena Ebo Bennin
Correlation between the Frequent Use of Gang-of-Four Design Patterns and Structural Complexity. APSEC (2017)
Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin
Improving Bug Localization with an Enhanced Convolutional Neural Network. APSEC (2017)
Kwabena Ebo Bennin, Jacky Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah
The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification. ESEM (2017)
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation. QRS (2017)
Wai Nam Poon, Kwabena Ebo Bennin, Jianglin Huang, Passakorn Phannachitta, Jacky Wai Keung
Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier. QRS (2017)
Shahid Hussain, Arif Ali Khan, Kwabena Ebo Bennin
Empirical investigation of fault predictors in context of class membership probability estimation. SAC (2016)
Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden, Yasutaka Kamei, Naoyasu Ubayashi
Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models. COMPSAC (2016)
Passakorn Phannachitta, Jacky W. Keung, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto
Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets. APSEC (2016)
Solomon Mensah, Jacky Keung, Kwabena Ebo Bennin, Michael Franklin Bosu
Multi-Objective Optimization for Software Testing Effort Estimation. SEKE (2016)
Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin
Rework Effort Estimation of Self-admitted Technical Debt. QuASoQ/TDA@APSEC (2016)
Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi
Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models. QRS (2016)
Zhendong Shi, Jacky W. Keung, Kwabena Ebo Bennin, Nachai Limsettho, Qinbao Song
A Strategy to Determine When to Stop Using Automatic Bug Localization. COMPSAC (2016)
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin
A Methodology to Automate the Selection of Design Patterns. COMPSAC Workshops (2016)
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin
Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds. QRS Companion (2016)
Arif Ali Khan, Jacky Keung, Shahid Hussain, Kwabena Ebo Bennin
Effects of Geographical, Socio-cultural and Temporal Distances on Communication in Global Software Development during Requirements Change Management - A Pilot Study. ENASE (2015)
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin
Performance Evaluation of Ensemble Methods For Software Fault Prediction: An Experiment. ASWEC (2) (2015)