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Md. Masudur Rahman
Md. Masudur Rahman
Lecture of Department of Computer Science and Engineering, Ahsanullah University of Science and
Verified email at aust.edu - Homepage
Title
Cited by
Cited by
Year
Traffic Sign Detection and Recognition Model Using Support Vector Machine and Histogram of Oriented Gradient
N Ahmed, S Rabbi, T Rahman, R Mia, MM Rahman
International Journal of Information Technology and Computer Science (IJITCS …, 2021
162021
MMRUC3: A recommendation approach of move method refactoring using coupling, cohesion, and contextual similarity to enhance software design
MM Rahman, RR Riyadh, SM Khaled, A Satter, MR Rahman
Software: Practice and Experience 48 (9), 1560-1587, 2018
92018
Requirements Model for Cyber-Physical System
MM Rahman, N Nower
https://arxiv.org/abs/1705.03095, 2017
72017
Characterization and localization of performance-bugs using Naive Bayes approach
M Sujon, M Shafiuzzaman, MM Rahman, R Rahman
2016 5th International Conference on Informatics, Electronics and Vision …, 2016
52016
An Empirical Study on the Occurrences of Code Smells in Open Source and Industrial Projects
MM Rahman, A Satter, MMA Joarder, K Sakib
Proceedings of the 16th ACM/IEEE International Symposium on Empirical …, 2022
32022
Recommendation of move method refactorings using coupling, cohesion and contextual similarity
MM Rahman, RR Riyadh, MR Rahman
Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International …, 2017
32017
Recommendation of Move Method Refactoring to Optimize Modularization Using Conceptual Similarity
MM Rahman, MR Rahman, BMM Hossain
International Journal of Information Technology & Computer Science 9 (6), 2017
32017
An Empirical Study on Stack Overflow Security Vulnerability in Well-known Open Source Software Systems
MM Rahman, A Satter, BMM Hossain
International Journal of Computer Applications 176 (39), 10-15, 2020
2*2020
A Context Based Approach for Recommending Move Class Refactoring
MM Rahman, A Satter
Asia-Pacific Software Engineering Conference (APSEC), 515-516, 2021
12021
Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?
MM Rahman, T Ahammed, K Sakib
arXiv preprint arXiv:2310.03673, 2023
2023
Does Code Smell Frequency Have a Relationship with Fault-proneness?
MM Rahman, T Ahammed, MMA Joarder, K Sakib
Proceedings of the 27th International Conference on Evaluation and …, 2023
2023
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