Most Read Research Articles


Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79
Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Performance Analysis of a Website using Key Performance Indicators

Print
PDF
IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies
© 2012 by IJCA Journal
ICNICT - Number 5
Year of Publication: 2012
Authors:
Navin Kumar Tyagi
Anil Kumar Solanki
Manoj Kumar Sharma

Navin Kumar Tyagi, Anil Kumar Solanki and Manoj Kumar Sharma. Article: Performance Analysis of a Website using Key Performance Indicators. IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies ICNICT(5):8-12, November 2012. Full text available. BibTeX

@article{key:article,
	author = {Navin Kumar Tyagi and Anil Kumar Solanki and Manoj Kumar Sharma},
	title = {Article: Performance Analysis of a Website using Key Performance Indicators},
	journal = {IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies},
	year = {2012},
	volume = {ICNICT},
	number = {5},
	pages = {8-12},
	month = {November},
	note = {Full text available}
}

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

  • Danielle Booth and Bernard J. Jansen. A review of methodologies for analyzing websites.
  • M. Arlitt and T. Jin. A workload characterization study of the 1998 world cup web site. IEEE Network, 14 (3), 2000.
  • V. Padmanabhan and L. Qiu. The content and access dynamics of a busy web site: Findings and implications. In proc. ACM SIGCOMM, 2000.
  • 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.
  • Aniket Mahanti, Leanne Wu and Carey Williamson. Workload Characterization of the WWW2007 Conference Web site.
  • 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.
  • Rockman et. al. Evaluation of UCMP Evolution web site usage statistics. September 2005.
  • Hallam-Baker, P. M. and Behlendorf, B. Extended log file format. February 1999. http://www. w3. org/TR/WD logfile. html
  • 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.
  • 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
  • McFaddan, C. Optimizing the online business channel with web analytics. July 2005. http://www. webanalyticsassociation. org/en/art/?9
  • Becher, J. D. Why metrics centric performance management solutions fall short. DM Review magazine.
  • Mason, N. (2007, February 6). Customer Loy¬alty Improves Retention. Retrieved from http://www. clickz. com/showPage. html?page=3624868(11)
  • 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.