CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Performance Analysis of a Website using Key Performance Indicators

Published on November 2012 by Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma
journal_cover_thumbnail

Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 5
November 2012
Authors: Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma
b5bd0362-29cb-413b-8b12-fd5d6fc9b274

Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma . Performance Analysis of a Website using Key Performance Indicators. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 5 (November 2012), 8-12.

@article{
author = { Navin Kumar Tyagi, Anil Kumar Solanki, Manoj Kumar Sharma },
title = { Performance Analysis of a Website using Key Performance Indicators },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 5 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 8-12 },
numpages = 5,
url = { /specialissues/icnict/number5/9442-1026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Navin Kumar Tyagi
%A Anil Kumar Solanki
%A Manoj Kumar Sharma
%T Performance Analysis of a Website using Key Performance Indicators
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 5
%P 8-12
%D 2012
%I International Journal of Computer Applications
Abstract

Web analytics is the measurement of visitor behaviour on a website and it can be used to collect basic visitor information such as number of visitors and visit duration etc. This basic information can then be combined to create meaningful key performance indicators which are used to analyze the performance of the website. In this paper we analyzed the log files of a website using a log analyzer tool. We used different key performance indicators like visit depth, frequency of visit and visitor ratio for our analysis.

References
  1. Danielle Booth and Bernard J. Jansen. A review of methodologies for analyzing websites.
  2. M. Arlitt and T. Jin. A workload characterization study of the 1998 world cup web site. IEEE Network, 14 (3), 2000.
  3. V. Padmanabhan and L. Qiu. The content and access dynamics of a busy web site: Findings and implications. In proc. ACM SIGCOMM, 2000.
  4. W. Shi, Y. Wright, E. Collins, and V. Karamcheti. Workload Characterization of a personalized web site and its implications for dynamic content caching. In Proc. WCW, 2002.
  5. Aniket Mahanti, Leanne Wu and Carey Williamson. Workload Characterization of the WWW2007 Conference Web site.
  6. N. Rowbottom, A. Allam, and A. Lymer. An Exploration of the potential for studying the usage of investor relations information through the analysis of web server log.
  7. Rockman et. al. Evaluation of UCMP Evolution web site usage statistics. September 2005.
  8. Hallam-Baker, P. M. and Behlendorf, B. Extended log file format. February 1999. http://www. w3. org/TR/WD logfile. html
  9. IBM. (2004, May 19). Log File Formats. Retrieved, from http://publib. boulder. ibm. com/tividd/td/ITWSA/ITWSA_info45/en_US/HTML/guide/c-logs. html.
  10. Microsoft. (2005, August 22). W3C Extended Log File Examples. Retrieved from http://technet2. microsoft. com/WindowsServer/en/library/b5b8a519-8f9b-456b-9040-018358f2c0c01033. mspx?mfr=true
  11. McFaddan, C. Optimizing the online business channel with web analytics. July 2005. http://www. webanalyticsassociation. org/en/art/?9
  12. Becher, J. D. Why metrics centric performance management solutions fall short. DM Review magazine.
  13. Mason, N. (2007, February 6). Customer Loy¬alty Improves Retention. Retrieved from http://www. clickz. com/showPage. html?page=3624868(11)
  14. Nicholas, D. , Huntington, P. & Williams, P. Evaluating Metrics for Comparing the Use of Web sites: A Case Study of 2 Consumer Health Web sites, Journal of Information Science 2002; 28/1:63--75.
Index Terms

Computer Science
Information Sciences

Keywords

Web Analytics Key Performance Indicators Visit Depth Deep Log Analyzer