Design Patterns are proven solution to common recurring design problems. Design Pattern Detection is most important activity that may support a lot to re-engineering process and thus gives significant information to the designer. Knowledge of design pattern exists in the system design improves the program understanding and software maintenance. Therefore, an automatic and reliable design pattern discovery is required. Graph theoretic approaches have been used for design pattern detection in past. Here we are applying recurrent neural network genetic algorithm for design pattern detection. The same algorithm we are here using for design pattern detection from the system design.

 

Published In : IJCSN Journal Volume 3, Issue 1

Date of Publication : 01 February 2014

Pages : 09 - 14

Figures : 09

Tables : --

Publication Link : IJCSN-2014/3-1/Design-Pattern-Detection-by-Multilayer-Neural-Genetic-Algorithm

 

 

 

Mr. Rajwant Singh Rao : completed his MCA (Master in Computer Application) from Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India in 2009. Since 2009 to till date he is pursuing in PhD in Computer Science department from Banaras Hindu University, Varanasi, India. He is serving as Assistant Professor with the Department of Computer Science & Information Technology (CSIT) of Guru Ghasidas Vishwavidyalaya, Bilaspur (C.G), India since 2011. He published 3 papers in international journal. One book chapter in springer and also published/presented papers in proceeding of the international conferences.He is engaged in teaching and research for the last 4 years and the areas of his research interest include Design Pattern Detection.

Dr. Manjari Gupta : completed her master degree in Computer Science (with Second Rank) from the University of Allahabad 2002. And obtained Ph.D Degree in Computer Engineering from Institute of Technology, Banaras Hindu University in year 2006. She passed UGC-NET examination in Computer Science and Application. During her Ph.D. research, she also worked as a teaching assistant in Computer Science Section of Mahila Mahavidyalaya, Banaras Hindu University from 2003 to 2006. In September 2006, she joined Indian Institute of Information Technology at Allahabad as Lecturer in Computer Science and served there till October 2007. Thereafter she joined Banaras Hindu University Varanasi as Assistant Professor in Computer Science.. She is engaged in teaching and research for the last 10 years and the areas of her research interest include Software Reuse and Design pattern Detection. She also worked on a Project titled E-Content for Software Reuse by Design Patterns and Frameworks supported by Ministry of Human Resource and Development, Government of India.

 

 

 

 

 

 

 

Design pattern

UML

Matching

One-one correspondence

Matrix

In this paper we proposed a new method for design pattern detection which is combination of genetic algorithm and multilayer perceptron. To detect the design pattern we took the system design and a design pattern, and tried to find out whether design pattern matches (fully or partially) to any subgraph of system design by using multilayer genetic algorithm. The encoding scheme and genetic operators: crossover, mutation and selection are discussed for solving this problem. The fitness function can be modified to improve the performance of the algorithm. The advantage of using multilayer perceptron is that we can obtain the better chromosomes for genetic algorithm and in this way we can obtain the best fitness function. We are developing a prototype that allows the implementation of the approach discussed.

 

 

 

 

 

 

 

 

 

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