Web hypermedia content management system effort estimation model

  • Authors:
  • Naveen Aggarwal;Nupur Prakash;Sanjeev Sofat

  • Affiliations:
  • Panjab University, Chandigarh;Guru Gobind Singh Indraprastha University, Delhi;Punjab Engineering. College, Chandigarh

  • Venue:
  • ACM SIGSOFT Software Engineering Notes
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This study aims at creation of a well defined estimation model which can be used to estimate the effort required for designing and developing the web hypermedia content management systems. The data from the different content management system projects are studied and the linear regression approach is used to finalize the model. This model also provides guidelines to calculate phase wise distribution of effort. The model is designed to help project manager to estimate effort at the very early stage of requirement analysis. A set of questionnaire is used to estimate the complexity of the project, which has to be filled after completing the initial requirement analysis. Final effort is estimated using the project size and the different adjustment factors. For better calculation of these adjustments factors, these are categorized into three categories based on their characteristics such as Production and General system characteristics. This model is proposed to be used differently for the different types of projects. These projects are categorized based on their size and total/build effort ratio. The size of the project is estimated by using the modified object point analysis approach. The estimated effort is further phase wise distributed for better scheduling of the project. Another questionnaire is used to refine the model and it has to be filled by the project managers after completing the project. The proposed model is validated by studying twelve completed projects taken from industry and seventy different projects completed by the students. The proposed model shows a great improvement as compared to the earlier models used in effort estimation of CMS projects.