Analyzing performance of web-based metrics for evluating reliability and maintainability of hyperdocuments

  • Authors:
  • Sanjeev Dhawan;Rakesh Kumar

  • Affiliations:
  • Faculty of Computer Engineering, University Institute of Engineering & Technology, Kurukshetra University, Kurukshetra, Haryana, India;Faculty of Computer Science, Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, Haryana, India

  • Venue:
  • MACMESE'09 Proceedings of the 11th WSEAS international conference on Mathematical and computational methods in science and engineering
  • Year:
  • 2009

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Abstract

This paper explores the variation of the effort estimation with the help of analysis and implementation of Web-based hyperdocuments using effort assessment in terms of reliability and maintainability. Here we promote the simple, but elegant approaches to estimate the efforts needed for designing Web-based applications with the help of User Behavior Model Graph (UBMG), Web page replacement algorithms, and RS Web Application Effort Assessment (RSWAEA) method. In this paper, variations of the effort estimations, for writing code for web-based applications, are explored. Effort assessment of hyperdocuments is crucial for Web-based systems, where outages can result in loss of revenue and dissatisfied customers. Here we advocate a simple, but elegant approach for effort estimation for Web applications from an empirical point of view. The proposed methods and models have been designed after carrying out an empirical study with the students of an advanced university class and Web designers that used various client-server based Web technologies. Our first aim was to compare the relative importance of each Web-based metric and method. Second, we also implemented the quality of the designs obtained based by constructing the User Behavior Model Graphs (UBMGs) to capture the reliability of Web-based applications. Thirdly, we use Web page replacement algorithms for increasing the Web site usability index, maintainability, reliability, and ranking. The results obtained from the above Web-based metrics can help us to analytically identify the effort assessment and failure points in Web-based systems and makes the evaluation of reliability of these systems simple.