JSEA  Vol.6 No.6 , June 2013
An Efficient Approach for Agile Web Based Project Estimation: AgileMOW

There exist numerous sophisticated models and methods for estimating the size, cost and schedule of software projects. However, the ability to accurately predict the software cost of web based software for agile software projects is still dubious. The most appropriate web based software cost estimation in an agile software development environment is a big problem due to varying levels of customer requirement and different individual personnel capabilities. Also, the need to develop a separate model to estimate web based project is rising. In this research paper, we present AgileMOW, an approach to model a software cost estimation process which will evaluate effort and cost of software development for web based projects developed using Agile methodology with a number of constraints imposed by stakeholders and environmental characteristics, thereby satisfying multitudinous criteria by making use of COCOMO II model, a famous traditional algorithmic technique. Most importantly, the paper identifies the difference between conventional and web projects. The proposed estimation model enhances the level of visibility in the planning stages.

Cite this paper
R. Litoriya and A. Kothari, "An Efficient Approach for Agile Web Based Project Estimation: AgileMOW," Journal of Software Engineering and Applications, Vol. 6 No. 6, 2013, pp. 297-303. doi: 10.4236/jsea.2013.66037.
[1]   L. Lazic, et al, “Two Novel Effort Estimation Models Based on Quality Metrics in Web Projects,” WSEAS Transactions on Information Science and Applications, Vol. 7, No. 7, 2010, pp. 923-934.

[2]   Ziauddin, S. K. Tipu and S. Zia, “An Effort Estimation Model for Agile Software Development,” Advances in Computer Science and Its Applications (ACSA), Vol. 2, No. 1, 2012, pp. 314-324.

[3]   S. F. Ochoa, et al., “Estimating the Development Effort of Web Projects in Chile,” Proceedings of the First Latin American Web Congress (LA-WEB 2003), 10-12 November 2003, pp. 114-122.

[4]   T. C. Hooi, Y. Yusoff and Z. Hassan, “Comparative Study on Applicability of WEBMO in Web Application Cost Estimation within Klang Valley in Malaysia,” IEEE 8th International Conference on Computer and Information Technology Workshops, Sydney, 8-11 July 2008, pp. 116-121.

[5]   S. Kumari and S. Pushkar, “Comparison and Analysis of Different Software Cost Estimation Methods,” International Journal of Advanced Computer Science and Applications, Vol. 4, No. 1, 2013, pp. 153-157.

[6]   M. Ruhe, et al., “Cost Estimation for Web Applications,” Proceedings of the 25th International Conference on Software Engineering, Portland, 3-10 May 2003, pp. 285-294.

[7]   D. J. Reifer “Web Development: Estimating Quick-toMarket Software,” IEEE Software, Vol. 17, No. 6, 2000, pp. 57-64.

[8]   Vice President David Consulting Group, “Agile Estimation Using Functional Metrics,” Thomas Cagley.

[9]   Mendes and Mosley, “Web Cost Estimation: An Introduction,” pp. 182-190.

[10]   http://commons.wikimedia.org/wiki/File:Agile_Software_Development_methodology.jpg

[11]   “Agile Estimation: Characteristics, Techniques and Complexities,” Tools Journal, pp. 1-4.

[12]   B. Nasr-Azadani and R. M. Doost, “Estimation of Agile Functionality in Software Development,” Proceedings of the International Multi-Conference of Engineers and Computer Scientists, Hong Kong, 19-21 March 2008, pp. 1338-1341.

[13]   S. Chandrasekaran, R. Lavanya and V. Kanchana, “MultiCriteria Approach for Agile Software Cost Estimation Model”.