International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 10  (October 2017), Pages:  144-149

Original Research Paper

Title: Genetic optimized software component reuse model for reducing development and maintenance efforts

Author(s): Amit Verma *, Gurpreet Singh Kamboj, Iqbaldeep Kaur

Affiliation(s):

Department of Computer Science and Engineering, CGC Landran, Mohali-140307, Punjab, India

https://doi.org/10.21833/ijaas.2017.010.020

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Abstract:

The proposed algorithm is a hybrid approach to find a software component. The hybrid approach is a combination of various modules called data extraction, Fact and rules, Optimization with genetic algorithm, etc. all these modules process raw data and provide the output as a component for reuse on the basis of various priorities matrixes. Proposed approach uses priority vector for the processing of all entries and define priorities on the basis of availability of various data factors along with issues in the software component. The entire component derived through the raking process with the help of genetic algorithm for the final output. Proposed approach provides average accuracy 99% for detection of software components. Various other parameters are also compared with the existing developed algorithms which provide comparative study and enhancement of the proposed method. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Software engineering, Component based Image retrieval, Genetic algorithm and reusability

Article History: Received 9 June 2017, Received in revised form 23 August 2017, Accepted 1 September 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.010.020

Citation:

Verma A, Kamboj GS, and Kaur I (2017). Genetic optimized software component reuse model for reducing development and maintenance efforts. International Journal of Advanced and Applied Sciences, 4(10): 144-149

Permanent Link:

http://www.science-gate.com/IJAAS/V4I10/Verma.html

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