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Solomon Mensah
Solomon Mensah
Dept. of Computer Science, University of Ghana
Verified email at ug.edu.gh
Title
Cited by
Cited by
Year
Mahakil: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction
KE Bennin, J Keung, P Phannachitta, A Monden, S Mensah
IEEE Transactions on Software Engineering 44 (6), 534-550, 2017
1922017
The significant effects of data sampling approaches on software defect prioritization and classification
KE Bennin, J Keung, A Monden, P Phannachitta, S Mensah
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
312017
Improving code readability classification using convolutional neural networks
Q Mi, J Keung, Y Xiao, S Mensah, Y Gao
Information and Software Technology 104, 60-71, 2018
292018
On the value of a prioritization scheme for resolving self-admitted technical debt
S Mensah, J Keung, J Svajlenko, KE Bennin, Q Mi
Journal of Systems and Software 135, 37-54, 2018
272018
Duplex output software effort estimation model with self-guided interpretation
S Mensah, J Keung, MF Bosu, KE Bennin
Information and Software Technology 94, 1-13, 2018
242018
Investigating the significance of the bellwether effect to improve software effort prediction: Further empirical study
S Mensah, J Keung, SG MacDonell, MF Bosu, KE Bennin
IEEE Transactions on Reliability 67 (3), 1176-1198, 2018
152018
Investigating the significance of bellwether effect to improve software effort estimation
S Mensah, J Keung, SG MacDonell, MF Bosu, KE Bennin
2017 IEEE International Conference on Software Quality, Reliability and …, 2017
142017
Rework effort estimation of self-admitted technical debt
S Mensah, J Keung, MF Bosu, KE Bennin
CEUR-WS, 2016
112016
The effect of Bellwether analysis on software vulnerability severity prediction models
PK Kudjo, J Chen, S Mensah, R Amankwah, C Kudjo
Software Quality Journal 28 (4), 1413-1446, 2020
102020
Improving the accuracy of vulnerability report classification using term frequency-inverse gravity moment
PK Kudjo, J Chen, M Zhou, S Mensah, R Huang
2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019
102019
A Stratification and Sampling Model for Bellwether Moving Window.
S Mensah, J Keung, MF Bosu, KE Bennin, PK Kudjo
SEKE, 481-486, 2017
92017
Multi-objective optimization for software testing effort estimation
S Mensah, J Keung, KE Bennin, MF Bosu
SEKE, 2016
92016
An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection
J Chen, PK Kudjo, S Mensah, SA Brown, G Akorfu
Journal of Systems and Software 167, 110616, 2020
62020
An inception architecture-based model for improving code readability classification
Q Mi, J Keung, Y Xiao, S Mensah, X Mei
Proceedings of the 22nd International Conference on Evaluation and …, 2018
62018
Not all bug reopens are negative: A case study on eclipse bug reports
Q Mi, J Keung, Y Huo, S Mensah
Information and Software Technology 99, 93-97, 2018
52018
Predicting vulnerable software components via bellwethers
PK Kudjo, J Chen, S Mensah, R Amankwah
Chinese Conference on Trusted Computing and Information Security, 389-407, 2018
42018
[journal first] MAHAKIL: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction
KE Bennin, J Keung, P Phannachitta, A Monden, S Mensah
2018 IEEE/ACM 40th international conference on software engineering (ICSE …, 2018
32018
The effect of weighted moving windows on security vulnerability prediction
PK Kudjo, J Chen, SA Brown, S Mensah
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
22019
The significant effect of parameter tuning on software vulnerability prediction models
PK Kudjo, SB Aformaley, S Mensah, J Chen
2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019
22019
Identifying textual features of high-quality questions: An empirical study on stack overflow
Q Mi, Y Gao, J Keung, Y Xiao, S Mensah
2017 24th Asia-Pacific Software Engineering Conference (APSEC), 636-641, 2017
22017
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