2017Indian Journal of Science and TechnologyOpen access

Requirement Engineering Model for Web Applications

T. S. Shiny Angel, John T Mesia Dhas

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Abstract

Objectives: To estimate the schedule of the software process with the help of user requirements. Methods/Statistical Analysis: The empirical methods like questionnaire, interviews etc. Findings: To classify functional data, technical data, business data etc and also give priority and value to them. It will help the management to predict the schedule for the software development. Applications/Improvements: It is giving a separate and unique table for each type of requirement. So the user can understand the type and importance of requirement easily. Keywords: Business Data, Functional Data, Technical Data, User Requirement

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What this paper is about

Objectives: To estimate the schedule of the software process with the help of user requirements. Methods/Statistical Analysis: The empirical methods like questionnaire, interviews etc. Findings: To classify functional data, technical data, business data etc and also give priority and value to them. It will help the management to predict the schedule for the software development. Applications/Improvements: It is giving a separate and unique table for each type of requirement. So the user can understand the type and importance of requirement easily. Keywords: Business Data, Functional Data, Technical Data, User Requirement

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Available abstract

Objectives: To estimate the schedule of the software process with the help of user requirements. Methods/Statistical Analysis: The empirical methods like questionnaire, interviews etc. Findings: To classify functional data, technical data, business data etc and also give priority and value to them. It will help the management to predict the schedule for the software development. Applications/Improvements: It is giving a separate and unique table for each type of requirement. So the user can understand the type and importance of requirement easily. Keywords: Business Data, Functional Data, Technical Data, User Requirement

Key concepts: Computer science, Schedule, Table (database), Software engineering, Data mining, Data science, Operating system

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