| 2026 | ICSE | From RSE to AI4RSE: A Quadrant Model for AI-Augmented Research Software. | Siamak Farshidi, Kwabena Ebo Bennin, Bedir Tekinerdogan |
| 2025 | WCNC | Energy Efficient Device-to-Device Routing in Three-Tier Symbiotic Radio IoT Networks. | Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin, Mustapha Benjillali, Samir Saoudi |
| 2024 | COMPSAC | Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry During Unprecedented Global Challenges. | Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Jingyu Zhang, Zhen Yang |
| 2023 | APSEC | Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications. | Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Yangyang Huang, Jingyu Zhang |
| 2023 | ISSRE | 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 |
| 2022 | APSEC | 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 |
| 2022 | MSR | 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 |
| 2020 | COMPSAC | 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 |
| 2020 | QRS | Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance. | Kwabena Ebo Bennin, Nauman Bin Ali, Jrgen Brstler, Xiao Yu |
| 2019 | COMPSAC | Assessing the Significant Impact of Concept Drift in Software Defect Prediction. | Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang |
| 2018 | EASE | Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest. | Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin |
| 2018 | ESEM | Revisiting the size effect in software fault prediction models. | Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland |
| 2018 | ICSE | 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 |
| 2018 | SEKE | Revisiting the Conclusion Instability Issue in Software Effort Estimation (S). | Michael Franklin Bosu, Solomon Mensah, Kwabena Ebo Bennin, Diab Abuaiadah |
| 2017 | APSEC | Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models. | Kwabena Ebo Bennin, Jacky Keung, Akito Monden |
| 2017 | APSEC | Correlation between the Frequent Use of Gang-of-Four Design Patterns and Structural Complexity. | Shahid Hussain, Jacky Keung, Arif Ali Khan, Kwabena Ebo Bennin |
| 2017 | APSEC | Improving Bug Localization with an Enhanced Convolutional Neural Network. | Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin |
| 2017 | ESEM | The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification. | Kwabena Ebo Bennin, Jacky Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah |
| 2017 | QRS | Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation. | Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin |
| 2017 | QRS | 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 |
| 2017 | SEKE | A Stratification and Sampling Model for Bellwether Moving Window. | Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin, Patrick Kwaku Kudjo |
| 2016 | APSEC | Rework Effort Estimation of Self-admitted Technical Debt. | Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin |
| 2016 | APSEC | Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets. | Passakorn Phannachitta, Jacky W. Keung, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto |
| 2016 | COMPSAC | 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 |
| 2016 | COMPSAC | A Methodology to Automate the Selection of Design Patterns. | Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin |
| 2016 | COMPSAC | A Strategy to Determine When to Stop Using Automatic Bug Localization. | Zhendong Shi, Jacky W. Keung, Kwabena Ebo Bennin, Nachai Limsettho, Qinbao Song |
| 2016 | QRS | Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models. | Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi |
| 2016 | QRS | Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds. | Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin |
| 2016 | SAC | Empirical investigation of fault predictors in context of class membership probability estimation. | Shahid Hussain, Arif Ali Khan, Kwabena Ebo Bennin |
| 2016 | SEKE | Multi-Objective Optimization for Software Testing Effort Estimation. | Solomon Mensah, Jacky Keung, Kwabena Ebo Bennin, Michael Franklin Bosu |
| 2015 | ENASE | 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 |