Web Site Productivity Measurement Using Single Task Size Measure

  • Sandeep Kumar Panda Ph.D Scholar, Schoolof Computer Engineering, KIIT University, Bhubaneswar, Odisha, India http://orcid.org/0000-0002-0752-4267
  • Sukanta Das Department of Computer Science and Engineering, College of Engineering Bhubaneswar, Bhubaneswar, Odisha, India
  • Santosh Kumar Swain School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India
Keywords: Website productivity measure, Total usage time of website, Web services

Abstract

We propose a web site productivity measure using the average time taken by the proficient user takes in carrying out a transaction on a website to the total usage time of a web site. The total usage time of a web site depends on the size of the web site and bandwidth, the total time needed to use the information and other time factors. If productivity measurement of a web site delivers an expected productivity value in-between zero to one, then it indicates poor quality and the website needs to be redesigned, otherwise, if the value is bigger than one, which indicates higher expected productivity, then no need of updating. In this paper, we propose a productivity measurement method for web services. Finally, we demonstrate an example of its role for business to consumer web services using the new productivity measurement method.

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References

Albrecht A. and Gaffney J. “Software Function, Source Lines of Code and Development Effort Prediction: A Software Science Validation,” IEEE Trans. Software Engg., (volume 9: issue 6), 1983.

Arnold M. and Pedross P. “Software Size Measurement and Productivity Rating In a Large-Scale Software Development Department,” Proc. 20th Int’l Conf. Software Engg., Apr. 1998, pp. 490-493.

Alahuhta P. , Ahola J., and Hakala H. “Mobilizing business applications—a survey about the opportunities and challenges of mobile business applications and services in Finland,” Technology Review 167/2005, Tekes, Helsinki, Finland, 2005.

Brynjolfsson E. and Hitt L. M. “Beyond the productivity paradox,” Communications of the ACM, (volume 41: issue 8), 1998, pp. 49–55.

Kemppila S. and Lonnqvist A. “Subjective productivity measurement,” The Journal of American Academy of Business, volume 2: issue 2), 2003, pp. 531–537,

Kitchenham B.A. and Mendes E. “A Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications,” Proc. Empirical Assessment in Software Engg., May 2004, pp. 47-56.

Maxwell K.D. Applied Statistics for Software Managers. Software Quality Institute Series, Prentice-Hall, 2002.

Misterek S. D. A, Dooley, K. J. , and Anderson, J. C. “Productivity as a performance measure,” International Journal of Operations & Production Management, (volume 12, issue 1), 1992, pp. 29–45,

Moser, S. and Nierstrasz O. “The Effect of Object-Oriented Frameworks on Developer Productivity,” Computer, (volume 29: issue 9), Sept. 1996, pp. 45-51.

Morasca S. and Russo G. “An Empirical Study of Software Productivity,” Proc. 25th Ann. Int’l Computer Software and Applications Conf., Oct. 2001, pp. 317-322.

Murphy, K. E. and Simon S. J. “Intangible benefit valuation in ERP projects,” Information Systems Journal, (volume 12, issue 4), 2002, pp. 301–320.

Panda S. K., Swain S.K., and Mall R. “Measuring Web Site Usability Quality Complexity Metrics for Navigability” International Conference on Intelligent Computing, Communication and Devices, Springer book series, (volume 1: issue 1), 2014, pp. 392-402.

Sahay B. S. “Multi-factor productivity measurement model for service organizations,” International Journal of Productivity and Performance Management, (volume 54, issue 1), 2005, pp. 7–22,

Sink D. S., “Productivity, Management: Planning, Measurement and Evaluation, Control and Improvement”, John Wiley & Sons, New York, NY, USA, 1985.

Stensrud E. and Myrtveit I. “Identifying High Performance ERP Projects,” IEEE Trans. Software Engg., (volume 29: issue 5), May 2003, pp. 398-416.

Published
2015-10-11
How to Cite
Panda, S., Das, S., & Swain, S. (2015). Web Site Productivity Measurement Using Single Task Size Measure. Journal of Information Sciences and Computing Technologies, 4(3), 347-353. Retrieved from http://scitecresearch.com/journals/index.php/jisct/article/view/433
Section
Articles