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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Computer Science and Engineering




Mr. Md. Masudur Rahman



Designation: Lecturer Grade-I

Email: masudur.rahman0413.cse@aust.edu

Office Extension:

Room No: 7A01/M

Google Scholar Profile

Scopus Profile

Orcid Profile



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

  • Best Poster Award 2017, Imaging, Vision & Pattern Recognition (icIVPR), 2017 IEEE International Conference on, 2017
  • Masters Research Fellowship, ICT Division, Government of the People′s Republic of Bangladesh, 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
  • An Empirical Study on Stack Overflow Security Vulnerability in Well-known Open Source Software Systems, International Journal of Computer Applications (IJCA), 2020
  • A Context Based Approach for Recommending Move Class Refactoring, 27th Asia-Pacific Software Engineering Conference (APSEC), 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