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An Efficient Algorithm for Evaluation of Object-Oriented Models

by Manoj Kumar, Dr.Mohammad, Gyanendra K. Gupta, Amarjeet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 8
Year of Publication: 2011
Authors: Manoj Kumar, Dr.Mohammad, Gyanendra K. Gupta, Amarjeet Singh
10.5120/2954-4006

Manoj Kumar, Dr.Mohammad, Gyanendra K. Gupta, Amarjeet Singh . An Efficient Algorithm for Evaluation of Object-Oriented Models. International Journal of Computer Applications. 24, 8 ( June 2011), 11-15. DOI=10.5120/2954-4006

@article{ 10.5120/2954-4006,
author = { Manoj Kumar, Dr.Mohammad, Gyanendra K. Gupta, Amarjeet Singh },
title = { An Efficient Algorithm for Evaluation of Object-Oriented Models },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 8 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number8/2954-4006/ },
doi = { 10.5120/2954-4006 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:28.241205+05:30
%A Manoj Kumar
%A Dr.Mohammad
%A Gyanendra K. Gupta
%A Amarjeet Singh
%T An Efficient Algorithm for Evaluation of Object-Oriented Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 8
%P 11-15
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the current scenario of software development, the object-oriented technology has become the de-facto for development. It has become very popular and has been proved to be highly useful in software development process. Genetic algorithm is a very effective optimization tool for many engineering application problems. There are many applications existing in genetic algorithm, but no one is with object-oriented systems. This paper approaches the application of genetic algorithm in object-oriented models. When we implement any application of genetic algorithm with object-oriented system, it increased the efficiency of system and gain momentum due to the availability of worthless processing power in any application. Object-oriented design, give a more natural representation of any kind of information. It has one more advantage of better memory management and code reusability. It would be very useful to work on defining methods to evaluate different object oriented models. To achieve the same, we proposed a genetic algorithm to evaluate object-oriented model.

References
  1. G. Engels, L. Groenewegen, “Object – Oriented Modeling: A Roadmap”, In Proceedings of ICSE - Future of SE Track, 2000, pp.103-116 .
  2. C. Ghezzi, M. Jazayeri, D. Mandrioli, “Fundamentals of Software Engineering”, Prentice - Hall International, 1991.
  3. G. Booch, J. Zumbaugh, I. Jacobson, “The Unified Modeling Language User Guide”, Addison - Wesley, Reading, MA., 1999.
  4. I. Sommerville, “Software Engineering”, 6th Edition, Chapter 12, 2000.
  5. L. Tsoukalas, and R. Uhrig, “Fuzzy and Neural Approaches in Engineering”, Wiley, 1997.
  6. J. R. Koza, M. A. Keare, M. J. Streeter, W. Mydlowec, J. Yu, G. Canza, “Genetic Programming IV: Routine Human Competitive Machine Intelligence”, Kluwer Academic Publishers, Norwell, MA, 2003.
  7. W. Lee, H. – Yung Kim, “Genetic Algorithm Implementation in Python”, Electronics and Telecommunications Research Institute, ACIS International Conference on Computer and Information Science, IEEE, 2005, pp. 8 - 11.
  8. C. Doungsa - ard, K. Dahal, A. Hossain, and T. Suwannasart, “An Automatic Test Data Generation from UML State Diagram Using Genetic Algorithm”, Proceedings of International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2006, pp. 1-5.
  9. C. S. Krishnamoorthy, P. P. Venkatesh, and R. Sudarshan, “Object - Oriented Framework for Genetic Algorithms with Application to Space Truss Optimization”, Journal Computer in Civil Engineering, vol 16, no 1, 2002, pp. 66-75.
  10. F. M. Stefanini and A. Camussi, “APLOGEN: An Object Oriented Genetic Algorithm Performing Monte Carlo Optimization”, Oxford Journal , Life Science Bioinformatics, vol 09, no 06, 1993, pp 695- 700.
  11. P. Samuel, R. Mall, and A. K. Bothra , ”Automatic Test Case Generation Using UML State Diagrams”, IET Software, 2008, pp. 79-93.
  12. M. Prasanna1 and K. R. Chandran, “Automatic Test Case Generation for UML Object diagrams Using Genetic Algorithm”, International Journal Advance Soft Computing Application, vol 1, no 1, 2009, pp. 19-31.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm object diagram binary tree crossover object-oriented

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