Computer Science and Engineering

Mr. Md. Masudur Rahman

Research Interests

• Information Retrieval
• Software Evolution
• Software Reengineering
• Software Maintenance
• Code Smells and Refactorings

Educational Background

• Master of Science (MSc), (Software Engineering), Institute of Information Technology, University of Dhaka
• Bachelor of Science (BSc), (Software Engineering), Institute of Information Technology, University of Dhaka

Honors and Achievements

• ICT Research Fellowship for PhD Program, Information and Communication Technology (ICT) Division, Ministry of Posts, Telecommunications and Information Technology, Dhaka, Bangladesh, 2022
• Best Poster Award 2017, Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International Conference on, 2017
• ICT Research Fellowship for Masters Program, Information and Communication Technology (ICT) Division, Ministry of Posts, Telecommunications and Information Technology, Dhaka, Bangladesh, 2016

Publications

• Does Code Smell Frequency Have a Relationship with Fault-proneness?, International Conference on Evaluation and Assessment in Software Engineering (EASE), 2023
• An Empirical Study on the Occurrences of Code Smells in Open Source and Industrial Projects, International Symposium on Empirical Software Engineering and Measurement (ESEM), 2022
• Traffic Sign Detection and Recognition Model Using Support Vector Machine and Histogram of Oriented Gradient, International Journal of Information Technology and Computer Science (IJITCS), 2021
• A Context Based Approach for Recommending Move Class Refactoring, 27th Asia-Pacific Software Engineering Conference (APSEC), 2020
• An Empirical Study on Stack Overflow Security Vulnerability in Well-known Open Source Software Systems, International Journal of Computer Applications (IJCA), 2020
• MMRUC3: A recommendation approach of move method refactoring using coupling, cohesion, and contextual similarity to enhance software design, Software: Practice and Experience (Wiley), 2018
• Recommendation of move method refactorings using coupling, cohesion and contextual similarity, Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International Conference on, 2017
• Recommendation of Move Method Refactoring to Optimize Modularization Using Conceptual Similarity, International Journal of Information Technology and Computer Science (IJITCS), 2017
• Characterization and localization of performance-bugs using Naive Bayes approach, International Conference on Informatics, Electronics and Vision (ICIEV), 2016