Software engineering with formal metrics
Software engineering with formal metrics
Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
Software metrics and measurement principles
ACM SIGSOFT Software Engineering Notes
A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
Web Development: Estimating Quick-to-Market Software
IEEE Software
User-Oriented Reliability Modeling for a Web System
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
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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.