Performance Evaluation of Ensemble Methods For Software Fault Prediction: An Experiment. - Shahid Hussain 001; Jacky W. Keung; Arif Ali Khan; Kwabena Ebo Bennin (ASWEC (2), 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 001; Kwabena Ebo Bennin (ENASE, 2015)

Rework Effort Estimation of Self-admitted Technical Debt. - Solomon Mensah; Jacky W. Keung; Michael Franklin Bosu; Kwabena Ebo Bennin (QuASoQ/TDA@APSEC, 2016)

Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets. - Passakorn Phannachitta; Jacky W. Keung; Kwabena Ebo Bennin; Akito Monden; Kenichi Matsumoto (APSEC, 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 (COMPSAC, 2016)

A Methodology to Automate the Selection of Design Patterns. - Shahid Hussain 001; Jacky W. Keung; Arif Ali Khan; Kwabena Ebo Bennin (COMPSAC Workshops, 2016)

A Strategy to Determine When to Stop Using Automatic Bug Localization. - Zhendong Shi; Jacky W. Keung; Kwabena Ebo Bennin; Nachai Limsettho; Qinbao Song (COMPSAC, 2016)

Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models. - Kwabena Ebo Bennin; Koji Toda; Yasutaka Kamei; Jacky Keung; Akito Monden; Naoyasu Ubayashi (QRS, 2016)

Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds. - Shahid Hussain 001; Jacky W. Keung; Arif Ali Khan; Kwabena Ebo Bennin (QRS Companion, 2016)

Empirical investigation of fault predictors in context of class membership probability estimation. - Shahid Hussain 001; Arif Ali Khan; Kwabena Ebo Bennin (SAC, 2016)

Multi-Objective Optimization for Software Testing Effort Estimation. - Solomon Mensah; Jacky Keung; Kwabena Ebo Bennin; Michael Franklin Bosu (SEKE, 2016)

Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models. - Kwabena Ebo Bennin; Jacky Keung; Akito Monden (APSEC, 2017)

Correlation between the Frequent Use of Gang-of-Four Design Patterns and Structural Complexity. - Shahid Hussain 001; Jacky Keung; Arif Ali Khan; Kwabena Ebo Bennin (APSEC, 2017)

Improving Bug Localization with an Enhanced Convolutional Neural Network. - Yan Xiao 002; Jacky Keung; Qing Mi; Kwabena Ebo Bennin (APSEC, 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 (ESEM, 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 (QRS, 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 (QRS, 2017)

A Stratification and Sampling Model for Bellwether Moving Window. - Solomon Mensah; Jacky Keung; Michael Franklin Bosu; Kwabena Ebo Bennin; Patrick Kwaku Kudjo (SEKE, 2017)

Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest. - Yan Xiao 002; Jacky Keung; Qing Mi; Kwabena Ebo Bennin (EASE, 2018)

Revisiting the size effect in software fault prediction models. - Amjed Tahir; Kwabena Ebo Bennin; Stephen G. MacDonell; Stephen Marsland (ESEM, 2018)

Revisiting the Conclusion Instability Issue in Software Effort Estimation (S). - Michael Franklin Bosu; Solomon Mensah; Kwabena Ebo Bennin; Diab Abuaiadah (SEKE, 2018)

Comparing learning to rank techniques in hybrid bug localization. - Zhendong Shi; Jacky Keung; Kwabena Ebo Bennin; Xingjun Zhang (Appl. Soft Comput., 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)

Duplex output software effort estimation model with self-guided interpretation. - Solomon Mensah; Jacky Keung; Michael Franklin Bosu; Kwabena Ebo Bennin (Inf. Softw. Technol., 2018)

Machine translation-based bug localization technique for bridging lexical gap. - Yan Xiao 002; Jacky Keung; Kwabena Ebo Bennin; Qing Mi (Inf. Softw. Technol., 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)

Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning. - Xiao Yu 008; Man Wu; Yiheng Jian; Kwabena Ebo Bennin; Mandi Fu; Chuanxiang Ma (Soft Comput., 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)

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)

Assessing the Significant Impact of Concept Drift in Software Defect Prediction. - Md. Alamgir Kabir; Jacky W. Keung; Kwabena Ebo Bennin; Miao Zhang (COMPSAC (1), 2019)

An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction. - Xiao Yu 008; Kwabena Ebo Bennin; Jin Liu 016; Jacky Wai Keung; Xiaofei Yin; Zhou Xu 003 (SANER, 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)

Improving bug localization with word embedding and enhanced convolutional neural networks. - Yan Xiao 002; Jacky Keung; Kwabena Ebo Bennin; Qing Mi (Inf. Softw. Technol., 2019)

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 (COMPSAC, 2020)

Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance. - Kwabena Ebo Bennin; Nauman Bin Ali; Jürgen Börstler; Xiao Yu 008 (QRS, 2020)

Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. - Xiao Yu 008; Jin Liu 016; Jacky Wai Keung; Qing Li 001; Kwabena Ebo Bennin; Zhou Xu 003; Junping Wang; Xiaohui Cui (IEEE Trans. Reliab., 2020)

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 (ICSME, 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)

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)

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)

COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction. - Shuo Feng 003; Jacky Keung; Xiao Yu 008; Yan Xiao 002; Kwabena Ebo Bennin; Md. Alamgir Kabir; Miao Zhang (Inf. Softw. Technol., 2021)

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 (APSEC, 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 (IWSC, 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 (MSR, 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)

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)

Further investigation of the survivability of code technical debt items. - Ehsan Zabardast; Kwabena Ebo Bennin; Javier Gonzalez-Huerta (J. Softw. Evol. Process., 2022)

Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications. - Yishu Li; Jacky Keung; Kwabena Ebo Bennin; Xiaoxue Ma; Yangyang Huang; Jingyu Zhang (APSEC, 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 (ISSREW, 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)

Reference architecture design for computer-based speech therapy systems. - Geertruida Aline Attwell; Kwabena Ebo Bennin; Bedir Tekinerdogan (Comput. Speech Lang., 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)

Finding the best learning to rank algorithms for effort-aware defect prediction. - Xiao Yu 008; Heng Dai; Li Li 029; Xiaodong Gu 002; Jacky Wai Keung; Kwabena Ebo Bennin; Fuyang Li; Jin Liu 016 (Inf. Softw. Technol., 2023)

Developers talking about code quality. - Jürgen Börstler; Kwabena Ebo Bennin; Sara Hooshangi; Johan Jeuring; Hieke Keuning; Carsten Kleiner; Bonnie K. MacKellar; Rodrigo Duran 001; Harald Störrle; Daniel Toll; Jelle van Assema (Empir. Softw. Eng., 2023)

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 022 (COMPSAC, 2024)

An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction. - Kensei Hamamoto; Masateru Tsunoda; Amjed Tahir; Kwabena Ebo Bennin; Akito Monden; Koji Toda; Keitaro Nakasai; Kenichi Matsumoto (ICSME, 2024)

Precision Agriculture Deep Neural Network Driven Multi-hop Plant Image Noisy Data Transmission and Plant Disease Detection. - Derek Kwaku Pobi Asiedu; Kwadwo Boateng Ofori-Amanfo; Kwabena Ebo Bennin; Mustapha Benjillali; Kyoung-Jae Lee; Dennis Agyemanh Nana Gookyi; Samir Saoudi (ISIVC, 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)

Online grocery shopping recommender systems: Common approaches and practices. - Laura Z. H. Jansen; Kwabena Ebo Bennin; Ellen van Kleef; Ellen J. Van Loo (Comput. Hum. Behav., 2024)

The Effect of Defect (Re) Prediction on Software Testing. - Yukasa Murakami; Yuta Yamasaki; Masateru Tsunoda; Akito Monden; Amjed Tahir; Kwabena Ebo Bennin; Koji Toda; Keitaro Nakasai (CoRR, 2024)

Personalization of Code Readability Evaluation Based on LLM Using Collaborative Filtering. - Buntaro Hiraki; Kensei Hamamoto; Ami Kimura; Masateru Tsunoda; Amjed Tahir; Kwabena Ebo Bennin; Akito Monden; Keitaro Nakasai (CoRR, 2024)

A systematic review on food recommender systems. - Jon Nicolas Bondevik; Kwabena Ebo Bennin; Önder Babur; Carsten Ersch (Expert Syst. Appl., 2024)

Energy Efficient Device-to-Device Routing in Three-Tier Symbiotic Radio IoT Networks. - Derek Kwaku Pobi Asiedu; Kwabena Ebo Bennin; Mustapha Benjillali; Samir Saoudi (WCNC, 2025)

Characterising harmful API uses and repair techniques: Insights from a systematic review. - Lina Ochoa; Muhammad Hammad 001; Görkem Giray; Önder Babur; Kwabena Ebo Bennin (Comput. Sci. Rev., 2025)

Building Defect Prediction Models by Online Learning Considering Defect Overlooking. - Nikolay Fedorov; Yuta Yamasaki; Masateru Tsunoda; Akito Monden; Amjed Tahir; Kwabena Ebo Bennin; Koji Toda; Keitaro Nakasai (IEICE Trans. Inf. Syst., 2025)

The Impact of Defect (Re) Prediction on Software Testing. - Yukasa Murakami; Yuta Yamasaki; Masateru Tsunoda; Akito Monden; Amjed Tahir; Kwabena Ebo Bennin; Koji Toda; Keitaro Nakasai (IEICE Trans. Inf. Syst., 2025)

On the Application of Bandit Algorithm for Selecting Clone Detection Methods. - Masateru Tsunoda; Takuto Kudo; Akito Monden; Amjed Tahir; Kwabena Ebo Bennin; Koji Toda; Keitaro Nakasai; Kenichi Matsumoto (IEICE Trans. Inf. Syst., 2025)

Selecting Source Code Generation Tools Based on Bandit Algorithms. - Masateru Tsunoda; Ryoto Shima; Amjed Tahir; Kwabena Ebo Bennin; Akito Monden; Koji Toda; Keitaro Nakasai (IEICE Trans. Inf. Syst., 2025)

A machine learning algorithm for personalized healthy and sustainable grocery product recommendations. - Laura Z. H. Jansen; Kwabena Ebo Bennin (Int. J. Inf. Manag. Data Insights, 2025)

Deep neural network-driven precision agriculture multi-path multi-hop noisy plant image data transmission and plant disease detection. - Derek Kwaku Pobi Asiedu; Kwabena Ebo Bennin; Dennis Agyemanh Nana Gookyi; Mustapha Benjillali; Samir Saoudi (Ann. des Télécommunications, 2025)