Kwabena Ebo Bennin

According to our database, Kwabena Ebo Bennin authored at least 56 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A systematic review on food recommender systems.

Jon Nicolas Bondevik, Kwabena Ebo Bennin, Önder Babur, Carsten Ersch

Expert Syst. Appl., March, 2024

Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements.

Jurrian Doornbos, Kwabena Ebo Bennin, Önder Babur, João Valente

IEEE Access, 2024

2023

Developers talking about code quality.

Jürgen Börstler, Kwabena Ebo Bennin, Sara Hooshangi, Johan Jeuring, Hieke Keuning, Carsten Kleiner, Bonnie K. MacKellar, Rodrigo Duran, Harald Störrle, Daniel Toll, Jelle van Assema

Empir. Softw. Eng., November, 2023

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

Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu

Inf. Softw. Technol., May, 2023

On the use of deep learning in software defect prediction.

Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan

J. Syst. Softw., 2023

Reference architecture design for computer-based speech therapy systems.

Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan

Comput. Speech Lang., 2023

Selecting Source Code Generation Tools Based on Bandit Algorithms.

Ryoto Shima, Masateru Tsunoda, Yukasa Murakami, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai

CoRR, 2023

Software Defect Prediction by Online Learning Considering Defect Overlooking.

Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications.

Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Yangyang Huang, Jingyu Zhang

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Further investigation of the survivability of code technical debt items.

Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta

J. Softw. Evol. Process., 2022

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders.

Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan

Sensors, 2022

An empirical study on the effectiveness of data resampling approaches for cross-project software defect prediction.

Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell, Jürgen Börstler

IET Softw., 2022

Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction.

Masateru Tsunoda, Akito Monden, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Masataka Nagura, Kenichi Matsumoto

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Clone Detection Method Selection Based on Bandit Algorithm: a Preliminary Analysis.

Takeru Tabo, Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden

Proceedings of the 16th IEEE International Workshop on Software Clones, 2022

Preliminary Analysis of Review Method Selection Based on Bandit Algorithms.

Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021

COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction.

Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Kwabena Ebo Bennin, Md. Alamgir Kabir, Miao Zhang

Inf. Softw. Technol., 2021

A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms.

Teruki Hayakawa, Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto

IEICE Trans. Inf. Syst., 2021

Does class size matter? An in-depth assessment of the effect of class size in software defect prediction.

Amjed Tahir, Kwabena Ebo Bennin, Xun Xiao, Stephen G. MacDonell

Empir. Softw. Eng., 2021

Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study.

Md. Alamgir Kabir, Jacky Keung, Burak Turhan, Kwabena Ebo Bennin

Appl. Soft Comput., 2021

Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction.

Takuya Asano, Masateru Tsunoda, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM.

Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui

IEEE Trans. Reliab., 2020

Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance.

Kwabena Ebo Bennin, Nauman Bin Ali, Jürgen Börstler, Xiao Yu

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction.

Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

Improving bug localization with word embedding and enhanced convolutional neural networks.

Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi

Inf. Softw. Technol., 2019

On the relative value of data resampling approaches for software defect prediction.

Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden

Empir. Softw. Eng., 2019

An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction.

Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Assessing the Significant Impact of Concept Drift in Software Defect Prediction.

Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018

MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction.

Kwabena Ebo Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah

IEEE Trans. Software Eng., 2018

Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study.

Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin

IEEE Trans. Reliab., 2018

Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning.

Xiao Yu, Man Wu, Yiheng Jian, Kwabena Ebo Bennin, Mandi Fu, Chuanxiang Ma

Soft Comput., 2018

On the value of a prioritization scheme for resolving Self-admitted technical debt.

Solomon Mensah, Jacky Keung, Jeffrey Svajlenko, Kwabena Ebo Bennin, Qing Mi

J. Syst. Softw., 2018

Machine translation-based bug localization technique for bridging lexical gap.

Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi

Inf. Softw. Technol., 2018

Duplex output software effort estimation model with self-guided interpretation.

Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin

Inf. Softw. Technol., 2018

Cross project defect prediction using class distribution estimation and oversampling.

Nachai Limsettho, Kwabena Ebo Bennin, Jacky W. Keung, Hideaki Hata, Kenichi Matsumoto

Inf. Softw. Technol., 2018

Comparing learning to rank techniques in hybrid bug localization.

Zhendong Shi, Jacky Keung, Kwabena Ebo Bennin, Xingjun Zhang

Appl. Soft Comput., 2018

Revisiting the Conclusion Instability Issue in Software Effort Estimation (S).

Michael Franklin Bosu, Solomon Mensah, Kwabena Ebo Bennin, Diab Abuaiadah

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Revisiting the size effect in software fault prediction models.

Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest.

Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin

Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering, 2018

2017

A Stratification and Sampling Model for Bellwether Moving Window.

Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin, Patrick Kwaku Kudjo

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.

Wai Nam Poon, Kwabena Ebo Bennin, Jianglin Huang, Passakorn Phannachitta, Jacky Wai Keung

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation.

Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification.

Kwabena Ebo Bennin, Jacky Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah

Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

Improving Bug Localization with an Enhanced Convolutional Neural Network.

Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

Correlation between the Frequent Use of Gang-of-Four Design Patterns and Structural Complexity.

Shahid Hussain, Jacky Keung, Arif Ali Khan, Kwabena Ebo Bennin

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models.

Kwabena Ebo Bennin, Jacky Keung, Akito Monden

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016

Multi-Objective Optimization for Software Testing Effort Estimation.

Solomon Mensah, Jacky Keung, Kwabena Ebo Bennin, Michael Franklin Bosu

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Empirical investigation of fault predictors in context of class membership probability estimation.

Shahid Hussain, Arif Ali Khan, Kwabena Ebo Bennin

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds.

Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models.

Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

A Strategy to Determine When to Stop Using Automatic Bug Localization.

Zhendong Shi, Jacky W. Keung, Kwabena Ebo Bennin, Nachai Limsettho, Qinbao Song

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

A Methodology to Automate the Selection of Design Patterns.

Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models.

Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets.

Passakorn Phannachitta, Jacky W. Keung, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto

Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

Rework Effort Estimation of Self-admitted Technical Debt.

Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin

Proceedings of the Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), 2016

2015

Effects of Geographical, Socio-cultural and Temporal Distances on Communication in Global Software Development during Requirements Change Management - A Pilot Study.

Arif Ali Khan, Jacky Keung, Shahid Hussain, Kwabena Ebo Bennin

Proceedings of the ENASE 2015, 2015

Performance Evaluation of Ensemble Methods For Software Fault Prediction: An Experiment.

Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin

Proceedings of the 24th Australasian Software Engineering Conference, 2015