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Requirement Estimation and Design of Tag software in Web Application

Requirement Estimation and Design of Tag software in Web Application

Karan Gupta, Anita Goel
Copyright: © 2014 |Volume: 9 |Issue: 2 |Pages: 19
ISSN: 1554-1045|EISSN: 1554-1053|EISBN13: 9781466655300|DOI: 10.4018/ijitwe.2014040101
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MLA

Gupta, Karan, and Anita Goel. "Requirement Estimation and Design of Tag software in Web Application." IJITWE vol.9, no.2 2014: pp.1-19. http://doi.org/10.4018/ijitwe.2014040101

APA

Gupta, K. & Goel, A. (2014). Requirement Estimation and Design of Tag software in Web Application. International Journal of Information Technology and Web Engineering (IJITWE), 9(2), 1-19. http://doi.org/10.4018/ijitwe.2014040101

Chicago

Gupta, Karan, and Anita Goel. "Requirement Estimation and Design of Tag software in Web Application," International Journal of Information Technology and Web Engineering (IJITWE) 9, no.2: 1-19. http://doi.org/10.4018/ijitwe.2014040101

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Abstract

Tag software is included in a web application to facilitate categorization and classification of information. Generally, freely available tag software is adapted, or new code is written to incorporate tagging functionality. Since there is an absence of requirement specification and design document for tag software, even academically, it becomes difficult for the user to know about the possible features that can be included in the tag software. The user has to search for those features to be able to implement them in the software. So, there is a need that the user is made aware of the features available. Moreover, not all the features are relevant for the user; hence, there is a need for some kind of mechanism to ease the decision process. This paper presents - (1) a design for tag software, and (2) categorization of requirements of tag software in a web application. The design helps the developer during updating and analysis. The logical view of design displays interaction of entities and sub-entities with users. A weighted requirement checklist is presented which segregates features in three categories based on their popularity. This eases the task of selecting the requirement of tag software for the user. A metric, software estimation, is defined for quantifying selected requirements. A case study of freely available tag software is presented, in which estimation and design is applied.

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