We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Software Assessment Parameter Optimization using Genetic Algorithm

by Neha Sharma, Amit Sinhal, Bhupendra Verma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 7
Year of Publication: 2013
Authors: Neha Sharma, Amit Sinhal, Bhupendra Verma
10.5120/12504-8393

Neha Sharma, Amit Sinhal, Bhupendra Verma . Software Assessment Parameter Optimization using Genetic Algorithm. International Journal of Computer Applications. 72, 7 ( June 2013), 8-13. DOI=10.5120/12504-8393

@article{ 10.5120/12504-8393,
author = { Neha Sharma, Amit Sinhal, Bhupendra Verma },
title = { Software Assessment Parameter Optimization using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 7 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number7/12504-8393/ },
doi = { 10.5120/12504-8393 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:16.129185+05:30
%A Neha Sharma
%A Amit Sinhal
%A Bhupendra Verma
%T Software Assessment Parameter Optimization using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 7
%P 8-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software assessment of a project is a key aspect for the prediction of the cost, duration and the expertise required for the project. An efficient optimization algorithm is urgently needed. In this paper, we analyze the genetic algorithm (GA) technique for the development of a software assessment model for the NASA software project dataset. The simulation is performed using MATLAB environment and the results are tested on the basis of measures such as MMRE, MdMRE, MMER, Prediction Accuracy (25%) and the estimation time. The results of the developed Genetic Algorithm (GA) based model was also compared to known models in the literature. The assessment provided by the developed GA model was good compared to other models.

References
  1. Efi Papatheocharous, Harris Papadopoulos and Andreas S. Andreou. 2010. 'Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection", 3d Artificial Intelligence Techniques in Software Engineering Workshop, Larnaca, Cyprus.
  2. Alaa F. Sheta, Alaa Al-Afeef, "A GP Effort Estimation Model Utilizing Line of Code and Methodology for NASA Software Projects", 10th International Conference on Intelligent Systems Design and Applications 978-1-4244-8136-1/10/2010.
  3. Alaa F. Sheta "Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects", Journal of Computer Science 2 (2): 118-123, 2006.
  4. Kristin Bort and Monika Nerland "Software Effort Estimation as Collective Accomplishment", Scandinavian Journal of Information Systems, 22(2), 65–98, 2010.
  5. Iman Attarzadeh and Siew Hock Ow "Software Development Effort Estimation Based on a New Fuzzy Logic Model", International Journal of Computer Theory and Engineering, Vol. 1, No. 4, 1793-8201,October2009.
  6. Saleem Basha and Dhavachelvan P "Analysis of Empirical Software Effort Estimation Models", (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, 2010.
  7. Randy K. Smith "Effort Estimation in Component-Based Software Development Identifying Parameters", http://www. cs. utexas. edu/users/csed/doc_consortium/DC98/smith. pdf.
  8. Barry Boehm. Software Engineering Economics. Englewood Cliffs, NJ:Prentice-Hall, 1981. ISBN 0-13-822122-7.
  9. Kemere, C. F. , 1987. An empirical validation of software cost estimation models. Communication ACM, 30: 416-429.
  10. Ekrem Kocaguneli, Tim Menzies, and Jacky Keung "On the Value of Ensemble Effort Estimation", Journal of IEEE Transactions on Software Engineering, Vol. X, 2012.
  11. Archive-be. com/pespmc1. vub. ac. be/GENETALG. html.
Index Terms

Computer Science
Information Sciences

Keywords

COCOMO model Genetic algorithm Genetic programming NASA software

Powered by PhDFocusTM