Work place: Institute of Information Technology, University of Dhaka, Dhaka 1000, Bangladesh
E-mail: khaled@du.ac.bd
Website:
Research Interests: Computer systems and computational processes, Computational Learning Theory, Data Structures and Algorithms, Combinatorial Optimization
Biography
Shah Mostafa Khaled completed his B.Sc. and M.Sc. from Department of Computer Science and Engineering, University of Dhaka. Khaled completed his second masters in Computer Science from University of Lethbridge, Canada with a thesis titling ''Heuristic Algorithms for Wireless Mesh Network Planning'' under the supervision of Robert Benkoczi. Theoretical Optimization, Operations Research and Machine Learning are his areas of interest. Khaled is now the coordinator of IIT DU Optimization Research Group.
By Mohayeminul Islam Tajkia Rahman Toma Md. Selim Alim Ul Gias Shah Mostafa Khaled
DOI: https://doi.org/10.5815/ijieeb.2016.02.01, Pub. Date: 8 Mar. 2016
Management of legacy software and its code, generally written in procedural languages, is often costly and time-consuming. To help this management, a migration from procedural to object oriented paradigm could be a cost effective option. One approach for such migration can be based on the underlying dependency structure of the procedural source code. In this work, we propose a new heuristic algorithm that utilizes such structure for the design migration using agglomerative hierarchical clustering. The dependency structure that has been used involve functions, parameters and global data of the procedural code. Given a procedural code, the proposed approach produces candidate classes for an object oriented design. The proposed algorithm was tested against a database of procedural codes. The results obtained have been empirically validated using Jaccard similarity coefficient. It is observed that the proposed method yields 75.6% similarity with respect to the ground truth in the average case.
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