Recent trends in Component Based software development and Efficiency analysis of Semantic search based component retrieval Technique

Authors(2) :-Vishnu Sharma, Prof. Vijay Singh Rathore

In these days most of the software development uses preexisting software components. This approach provides plenty of benefits over the traditional development. Most of the software industries uses their own domain based software libraries where components resides in the form of modules, codes, executable file, documentations, test plans which may be used as it is or with minor changes. Due to shrinking time and high demand of software development it is necessary to use pre tested software components to ensure high functionality in software developed. Software components can be used very easily and without having the worries of errors and bugs because these are developed under expert supervision and well tested. What we have to do is just embed these components in our project. In this paper a survey got conducted over 112 software developer,testers and freelancers. In survey several issues in CBSD were identified. An efficient repository along with a component search engine is developed. All the component retrieval techniques were evaluated and compared with precise and recall method.

Authors and Affiliations

Vishnu Sharma
Research Scholar, Mewar University, Chittorgarh, Rajasthan, India
Prof. Vijay Singh Rathore
Professor& Head, JECRC Engineering College, Jaipur, Rajasthan, India

CBSD-Component Based software Development, COTS-Component Off The Shelf,

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2018
Date of Publication : 2018-11-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 105-113
Manuscript Number : CSEIT183836
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vishnu Sharma, Prof. Vijay Singh Rathore, "Recent trends in Component Based software development and Efficiency analysis of Semantic search based component retrieval Technique", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 8, pp.105-113, November-December-2018. Available at doi : https://doi.org/10.32628/CSEIT183836
Journal URL : https://res.ijsrcseit.com/CSEIT183836 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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