Kwabena Ebo Bennin

84 papers A* 1A 7B 6C 13Misc 1Journal 48Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Game engines for sustainable open science software: a case study.
Entertain. Comput.
William Hurst, Caspar Krampe, Kwabena Ebo Bennin, June Sallou
2025 J jnl
A machine learning algorithm for personalized healthy and sustainable grocery product recommendations.
Int. J. Inf. Manag. Data Insights
Laura Z. H. Jansen, Kwabena Ebo Bennin
2025 J jnl
An Energy-Efficient Precision Agriculture Communication Embedded System CoAP Design.
IEEE Internet Things J.
Efraim P. N. Manurung, Mattia Fiumara, Kwabena Ebo Bennin, Derek Kwaku Pobi Asiedu
2025 J jnl
Building Defect Prediction Models by Online Learning Considering Defect Overlooking.
IEICE Trans. Inf. Syst.
Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2025 J jnl
Characterising harmful API uses and repair techniques: Insights from a systematic review.
Comput. Sci. Rev.
Lina Ochoa, Muhammad Hammad, Görkem Giray, Önder Babur, Kwabena Ebo Bennin
2025 J jnl
Deep neural network-driven precision agriculture multi-path multi-hop noisy plant image data transmission and plant disease detection.
Ann. des Télécommunications
Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin, Dennis Agyemanh Nana Gookyi, Mustapha Benjillali, Samir Saoudi
2025 B conf
Energy Efficient Device-to-Device Routing in Three-Tier Symbiotic Radio IoT Networks.
WCNC
Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin, Mustapha Benjillali, Samir Saoudi
2025 J jnl
On the Application of Bandit Algorithm for Selecting Clone Detection Methods.
IEICE Trans. Inf. Syst.
Masateru Tsunoda, Takuto Kudo, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto
2025 J jnl
RSEMM: A dashboard for evaluating research software maturity.
SoftwareX
Kwabena Ebo Bennin, Bedir Tekinerdogan, Siamak Farshidi
2025 J jnl
Selecting Source Code Generation Tools Based on Bandit Algorithms.
IEICE Trans. Inf. Syst.
Masateru Tsunoda, Ryoto Shima, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Koji Toda, Keitaro Nakasai
2025 J jnl
The Impact of Defect (Re) Prediction on Software Testing.
IEICE Trans. Inf. Syst.
Yukasa Murakami, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2024 J jnl
A systematic review on food recommender systems.
Expert Syst. Appl.
Jon Nicolas Bondevik, Kwabena Ebo Bennin, Önder Babur, Carsten Ersch
2024 B conf
Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry During Unprecedented Global Challenges.
COMPSAC
Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Jingyu Zhang, Zhen Yang
2024 A conf
An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction.
ICSME
Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto
2024 J jnl
An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction.
CoRR
Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto
2024 J jnl
Building Defect Prediction Models by Online Learning Considering Defect Overlooking.
CoRR
Nikolay Fedorov, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2024 J jnl
Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements.
IEEE Access
Jurrian Doornbos, Kwabena Ebo Bennin, Önder Babur, João Valente
2024 J jnl
Online grocery shopping recommender systems: Common approaches and practices.
Comput. Hum. Behav.
Laura Z. H. Jansen, Kwabena Ebo Bennin, Ellen van Kleef, Ellen J. Van Loo
2024 J jnl
Personalization of Code Readability Evaluation Based on LLM Using Collaborative Filtering.
CoRR
Buntaro Hiraki, Kensei Hamamoto, Ami Kimura, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Keitaro Nakasai
2024 — conf
Precision Agriculture Deep Neural Network Driven Multi-hop Plant Image Noisy Data Transmission and Plant Disease Detection.
ISIVC
Derek Kwaku Pobi Asiedu, Kwadwo Boateng Ofori-Amanfo, Kwabena Ebo Bennin, Mustapha Benjillali, Kyoung-Jae Lee, Dennis Agyemanh Nana Gookyi, Samir Saoudi
2024 J jnl
The Effect of Defect (Re) Prediction on Software Testing.
CoRR
Yukasa Murakami, Yuta Yamasaki, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2023 J jnl
Developers talking about code quality.
Empir. Softw. Eng.
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
2023 J jnl
Finding the best learning to rank algorithms for effort-aware defect prediction.
Inf. Softw. Technol.
Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu
2023 J jnl
On the use of deep learning in software defect prediction.
J. Syst. Softw.
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan
2023 J jnl
Reference architecture design for computer-based speech therapy systems.
Comput. Speech Lang.
Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan
2023 J jnl
Selecting Source Code Generation Tools Based on Bandit Algorithms.
CoRR
Ryoto Shima, Masateru Tsunoda, Yukasa Murakami, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2023 — conf
Software Defect Prediction by Online Learning Considering Defect Overlooking.
ISSREW
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2023 J jnl
Software Defect Prediction by Online Learning Considering Defect Overlooking.
CoRR
Yuta Yamasaki, Nikolay Fedorov, Masateru Tsunoda, Akito Monden, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai
2023 C conf
Towards Requirements Engineering Activities for Machine Learning-Enabled FinTech Applications.
APSEC
Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Yangyang Huang, Jingyu Zhang
2022 J jnl
A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders.
Sensors
Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan
2022 J jnl
An Empirical Study on the Effectiveness of Data Resampling Approaches for Cross-Project Software Defect Prediction.
CoRR
Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell, Jürgen Börstler
2022 J jnl
An empirical study on the effectiveness of data resampling approaches for cross-project software defect prediction.
IET Softw.
Kwabena Ebo Bennin, Amjed Tahir, Stephen G. MacDonell, Jürgen Börstler
2022 — conf
Clone Detection Method Selection Based on Bandit Algorithm: a Preliminary Analysis.
IWSC
Takeru Tabo, Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden
2022 J jnl
Further investigation of the survivability of code technical debt items.
J. Softw. Evol. Process.
Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta
2022 J jnl
On the Use of Deep Learning in Software Defect Prediction.
CoRR
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan
2022 C conf
Preliminary Analysis of Review Method Selection Based on Bandit Algorithms.
APSEC
Takuto Kudo, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Koji Toda, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto
2022 A conf
Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction.
MSR
Masateru Tsunoda, Akito Monden, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Masataka Nagura, Kenichi Matsumoto
2021 J jnl
A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms.
IEICE Trans. Inf. Syst.
Teruki Hayakawa, Masateru Tsunoda, Koji Toda, Keitaro Nakasai, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto
2021 J jnl
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction.
Inf. Softw. Technol.
Shuo Feng, Jacky Keung, Xiao Yu, Yan Xiao, Kwabena Ebo Bennin, Md. Alamgir Kabir, Miao Zhang
2021 J jnl
Does class size matter? An in-depth assessment of the effect of class size in software defect prediction.
CoRR
Amjed Tahir, Kwabena Ebo Bennin, Xun Xiao, Stephen G. MacDonell
2021 J jnl
Does class size matter? An in-depth assessment of the effect of class size in software defect prediction.
Empir. Softw. Eng.
Amjed Tahir, Kwabena Ebo Bennin, Xun Xiao, Stephen G. MacDonell
2021 J jnl
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study.
Appl. Soft Comput.
Md. Alamgir Kabir, Jacky Keung, Burak Turhan, Kwabena Ebo Bennin
2021 J jnl
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation.
CoRR
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
2021 J jnl
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study.
CoRR
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
2021 J jnl
Revisiting the size effect in software fault prediction models.
CoRR
Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland
2021 A conf
Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction.
ICSME
Takuya Asano, Masateru Tsunoda, Koji Toda, Amjed Tahir, Kwabena Ebo Bennin, Keitaro Nakasai, Akito Monden, Kenichi Matsumoto
2020 B conf
A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction.
COMPSAC
Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang
2020 J jnl
Further Investigation of the Survivability of Code Technical Debt Items.
CoRR
Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta
2020 J jnl
Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM.
IEEE Trans. Reliab.
Xiao Yu, Jin Liu, Jacky Wai Keung, Qing Li, Kwabena Ebo Bennin, Zhou Xu, Junping Wang, Xiaohui Cui
2020 C conf
Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance.
QRS
Kwabena Ebo Bennin, Nauman Bin Ali, Jürgen Börstler, Xiao Yu
2019 A conf
An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction.
SANER
Xiao Yu, Kwabena Ebo Bennin, Jin Liu, Jacky Wai Keung, Xiaofei Yin, Zhou Xu
2019 — conf
Assessing the Significant Impact of Concept Drift in Software Defect Prediction.
COMPSAC (1)
Md. Alamgir Kabir, Jacky W. Keung, Kwabena Ebo Bennin, Miao Zhang
2019 J jnl
Improving bug localization with word embedding and enhanced convolutional neural networks.
Inf. Softw. Technol.
Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi
2019 J jnl
On the relative value of data resampling approaches for software defect prediction.
Empir. Softw. Eng.
Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden
2018 A conf
Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest.
EASE
Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin
2018 J jnl
Comparing learning to rank techniques in hybrid bug localization.
Appl. Soft Comput.
Zhendong Shi, Jacky Keung, Kwabena Ebo Bennin, Xingjun Zhang
2018 J jnl
Cross project defect prediction using class distribution estimation and oversampling.
Inf. Softw. Technol.
Nachai Limsettho, Kwabena Ebo Bennin, Jacky W. Keung, Hideaki Hata, Kenichi Matsumoto
2018 J jnl
Cross-company defect prediction via semi-supervised clustering-based data filtering and MSTrA-based transfer learning.
Soft Comput.
Xiao Yu, Man Wu, Yiheng Jian, Kwabena Ebo Bennin, Mandi Fu, Chuanxiang Ma
2018 J jnl
Duplex output software effort estimation model with self-guided interpretation.
Inf. Softw. Technol.
Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin
2018 J jnl
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study.
IEEE Trans. Reliab.
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
2018 J jnl
MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction.
IEEE Trans. Software Eng.
Kwabena Ebo Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
2018 A* conf
MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction.
ICSE
Kwabena Ebo Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
2018 J jnl
Machine translation-based bug localization technique for bridging lexical gap.
Inf. Softw. Technol.
Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi
2018 J jnl
On the value of a prioritization scheme for resolving Self-admitted technical debt.
J. Syst. Softw.
Solomon Mensah, Jacky Keung, Jeffrey Svajlenko, Kwabena Ebo Bennin, Qing Mi
2018 C conf
Revisiting the Conclusion Instability Issue in Software Effort Estimation (S).
SEKE
Michael Franklin Bosu, Solomon Mensah, Kwabena Ebo Bennin, Diab Abuaiadah
2018 A conf
Revisiting the size effect in software fault prediction models.
ESEM
Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland
2017 C conf
A Stratification and Sampling Model for Bellwether Moving Window.
SEKE
Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin, Patrick Kwaku Kudjo
2017 C conf
Correlation between the Frequent Use of Gang-of-Four Design Patterns and Structural Complexity.
APSEC
Shahid Hussain, Jacky Keung, Arif Ali Khan, Kwabena Ebo Bennin
2017 C conf
Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.
QRS
Wai Nam Poon, Kwabena Ebo Bennin, Jianglin Huang, Passakorn Phannachitta, Jacky Wai Keung
2017 C conf
Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models.
APSEC
Kwabena Ebo Bennin, Jacky Keung, Akito Monden
2017 C conf
Improving Bug Localization with an Enhanced Convolutional Neural Network.
APSEC
Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin
2017 C conf
Investigating the Significance of Bellwether Effect to Improve Software Effort Estimation.
QRS
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, Kwabena Ebo Bennin
2017 A conf
The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification.
ESEM
Kwabena Ebo Bennin, Jacky Keung, Akito Monden, Passakorn Phannachitta, Solomon Mensah
2016 — conf
A Methodology to Automate the Selection of Design Patterns.
COMPSAC Workshops
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin
2016 B conf
A Strategy to Determine When to Stop Using Automatic Bug Localization.
COMPSAC
Zhendong Shi, Jacky W. Keung, Kwabena Ebo Bennin, Nachai Limsettho, Qinbao Song
2016 — conf
Detection of Fault-Prone Classes Using Logistic Regression Based Object-Oriented Metrics Thresholds.
QRS Companion
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin
2016 C conf
Empirical Evaluation of Cross-Release Effort-Aware Defect Prediction Models.
QRS
Kwabena Ebo Bennin, Koji Toda, Yasutaka Kamei, Jacky Keung, Akito Monden, Naoyasu Ubayashi
2016 Misc conf
Empirical investigation of fault predictors in context of class membership probability estimation.
SAC
Shahid Hussain, Arif Ali Khan, Kwabena Ebo Bennin
2016 C conf
Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets.
APSEC
Passakorn Phannachitta, Jacky W. Keung, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto
2016 B conf
Investigating the Effects of Balanced Training and Testing Datasets on Effort-Aware Fault Prediction Models.
COMPSAC
Kwabena Ebo Bennin, Jacky W. Keung, Akito Monden, Yasutaka Kamei, Naoyasu Ubayashi
2016 C conf
Multi-Objective Optimization for Software Testing Effort Estimation.
SEKE
Solomon Mensah, Jacky Keung, Kwabena Ebo Bennin, Michael Franklin Bosu
2016 — conf
Rework Effort Estimation of Self-admitted Technical Debt.
QuASoQ/TDA@APSEC
Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin
2015 B conf
Effects of Geographical, Socio-cultural and Temporal Distances on Communication in Global Software Development during Requirements Change Management - A Pilot Study.
ENASE
Arif Ali Khan, Jacky Keung, Shahid Hussain, Kwabena Ebo Bennin
2015 — conf
Performance Evaluation of Ensemble Methods For Software Fault Prediction: An Experiment.
ASWEC (2)
Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin