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ORCIDKwabena Ebo Bennin
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2020 – today
- 2024
[j25]Jurrian Doornbos
, Kwabena Ebo Bennin, Önder Babur, João Valente:
Drone Technologies: A Tertiary Systematic Literature Review on a Decade of Improvements. IEEE Access 12: 23220-23239 (2024)- [j24]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: 108336 (2024) - [j23]Jon Nicolas Bondevik, Kwabena Ebo Bennin, Önder Babur, Carsten Ersch:
A systematic review on food recommender systems. Expert Syst. Appl. 238(Part E): 122166 (2024) - [c34]Yishu Li, Jacky Keung, Kwabena Ebo Bennin, Xiaoxue Ma, Jingyu Zhang, Zhen Yang:
Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry During Unprecedented Global Challenges. COMPSAC 2024: 682-691 - [c33]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: 1-6 - [i12]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 abs/2404.11033 (2024) - [i11]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 abs/2404.11040 (2024) - [i10]Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir, Kwabena Ebo Bennin, Akito Monden, Koji Toda, Keitaro Nakasai, Kenichi Matsumoto:
An Empirical Study of the Impact of Test Strategies on Online Optimization for Ensemble-Learning Defect Prediction. CoRR abs/2409.06264 (2024) - 2023
- [j22]Geertruida Aline Attwell, Kwabena Ebo Bennin, Bedir Tekinerdogan:
Reference architecture design for computer-based speech therapy systems. Comput. Speech Lang. 78: 101465 (2023) - [j21]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:
Developers talking about code quality. Empir. Softw. Eng. 28(6): 128 (2023) - [j20]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: 107165 (2023) - [j19]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: 111537 (2023) - [c32]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: 121-130 - [c31]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: 43-44 - [i9]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 abs/2308.13582 (2023) - [i8]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 abs/2312.12813 (2023) - 2022
- [j18]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): 185-199 (2022) - [j17]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): 9713 (2022) - [j16]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) - [c30]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: 492-496 - [c29]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: 53-54 - [c28]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: 670-681 - [i7]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 abs/2206.07919 (2022) - [i6]Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal, Önder Babur, Bedir Tekinerdogan:
On the Use of Deep Learning in Software Defect Prediction. CoRR abs/2210.02236 (2022) - 2021
- [j15]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): 107870 (2021) - [j14]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): 106 (2021) - [j13]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. 104-D(2): 327-331 (2021) - [j12]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: 106432 (2021) - [c27]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: 649-653 - [i5]Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland:
Revisiting the size effect in software fault prediction models. CoRR abs/2104.12349 (2021) - [i4]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 abs/2105.07366 (2021) - [i3]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 abs/2105.14179 (2021) - [i2]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 abs/2106.04687 (2021) - 2020
- [j11]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): 139-153 (2020) - [c26]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: 882-891 - [c25]Kwabena Ebo Bennin, Nauman Bin Ali, Jürgen Börstler, Xiao Yu:
Revisiting the Impact of Concept Drift on Just-in-Time Quality Assurance. QRS 2020: 53-59 - [i1]Ehsan Zabardast, Kwabena Ebo Bennin, Javier Gonzalez-Huerta:
Further Investigation of the Survivability of Code Technical Debt Items. CoRR abs/2010.05178 (2020)
2010 – 2019
- 2019
- [j10]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): 602-636 (2019) - [j9]Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi:
Improving bug localization with word embedding and enhanced convolutional neural networks. Inf. Softw. Technol. 105: 17-29 (2019) - [c24]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: 53-58 - [c23]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: 298-309 - 2018
- [j8]Zhendong Shi, Jacky Keung, Kwabena Ebo Bennin, Xingjun Zhang:
Comparing learning to rank techniques in hybrid bug localization. Appl. Soft Comput. 62: 636-648 (2018) - [j7]Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin:
Duplex output software effort estimation model with self-guided interpretation. Inf. Softw. Technol. 94: 1-13 (2018) - [j6]Yan Xiao, Jacky Keung, Kwabena Ebo Bennin, Qing Mi:
Machine translation-based bug localization technique for bridging lexical gap. Inf. Softw. Technol. 99: 58-61 (2018) - [j5]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: 87-102 (2018) - [j4]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: 37-54 (2018) - [j3]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): 3461-3472 (2018) - [j2]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): 1176-1198 (2018) - [j1]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): 534-550 (2018) - [c22]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: 101-111 - [c21]Amjed Tahir, Kwabena Ebo Bennin, Stephen G. MacDonell, Stephen Marsland:
Revisiting the size effect in software fault prediction models. ESEM 2018: 23:1-23:10 - [c20]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: 699 - [c19]Michael Franklin Bosu, Solomon Mensah, Kwabena Ebo Bennin, Diab Abuaiadah:
Revisiting the Conclusion Instability Issue in Software Effort Estimation (S). SEKE 2018: 368-367 - 2017
- [c18]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: 189-198 - [c17]Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin:
Improving Bug Localization with an Enhanced Convolutional Neural Network. APSEC 2017: 338-347 - [c16]Kwabena Ebo Bennin, Jacky Keung, Akito Monden:
Impact of the Distribution Parameter of Data Sampling Approaches on Software Defect Prediction Models. APSEC 2017: 630-635 - [c15]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: 364-373 - [c14]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: 340-351 - [c13]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: 434-441 - [c12]Solomon Mensah, Jacky Keung, Michael Franklin Bosu, Kwabena Ebo Bennin, Patrick Kwaku Kudjo:
A Stratification and Sampling Model for Bellwether Moving Window. SEKE 2017: 481-486 - 2016
- [c11]Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin:
Rework Effort Estimation of Self-admitted Technical Debt. QuASoQ/TDA@APSEC 2016: 72-75 - [c10]Passakorn Phannachitta, Jacky W. Keung, Kwabena Ebo Bennin, Akito Monden, Kenichi Matsumoto:
Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets. APSEC 2016: 185-192 - [c9]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: 154-163 - [c8]Shahid Hussain, Jacky W. Keung, Arif Ali Khan, Kwabena Ebo Bennin:
A Methodology to Automate the Selection of Design Patterns. COMPSAC Workshops 2016: 161-166 - [c7]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: 185-190 - [c6]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: 93-100 - [c5]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: 214-221 - [c4]Shahid Hussain, Arif Ali Khan, Kwabena Ebo Bennin:
Empirical investigation of fault predictors in context of class membership probability estimation. SAC 2016: 1550-1553 - [c3]Solomon Mensah, Jacky Keung, Kwabena Ebo Bennin, Michael Franklin Bosu:
Multi-Objective Optimization for Software Testing Effort Estimation. SEKE 2016: 527-530 - 2015
- [c2]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: 91-95 - [c1]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: 159-168
Coauthor Index
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last updated on 2024-10-14 23:32 CEST by the dblp team
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