Function Point Based Estimation of Effort and Cost in Agile Software Development

Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018

7 Pages Posted: 8 May 2018

See all articles by Anupam Yadav

Anupam Yadav

Ganeshi Lal Aggarwal University (GLA)

Ashish Sharma

Ganeshi Lal Aggarwal University (GLA)

Date Written: May 1, 2018

Abstract

Estimation is essential and vital piece of software life cycle. It is important to do exact estimation however much as could be expected. Today in IT Industry, Estimation in agile process is essentially in view of heuristic methodologies like expert opinion and planning poker. Without coordinated with experts, it is exceptionally hard to estimate in Agile Process. There is need of an algorithmic strategy in this area which can do accurate Estimation. It has been watched that these techniques don't consider the fundamental variables influencing the cost, size and effort for estimation. Without recorded information and experts, existing estimation strategies, for example, analogy, are planning poker end up noticeably erratic. In this manner, there is a solid need to devise basic algorithmic strategy that joins the variables influencing the cost, size and effort of projects. The Agile approach to software development differs markedly from traditional development approaches such as Waterfall. As such, Agile requires its own method of estimation. In this paper we have provided a brief introduction to Agile software development estimation and how stories can be sized using Function Point Analysis (FPA) and can be use to determine a project team’s likely velocity.

Suggested Citation

Yadav, Anupam and Sharma, Ashish, Function Point Based Estimation of Effort and Cost in Agile Software Development (May 1, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3171528 or http://dx.doi.org/10.2139/ssrn.3171528

Anupam Yadav (Contact Author)

Ganeshi Lal Aggarwal University (GLA)

17km Stone, NH-2, Mathura-Delhi Road
P.O. Chaumuhan
Mathura, ID Uttar Pradesh 281 406
India

Ashish Sharma

Ganeshi Lal Aggarwal University (GLA)

17km Stone, NH-2, Mathura-Delhi Road
P.O. Chaumuhan
Mathura, ID Uttar Pradesh 281 406
India

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