American Journal of Software Engineering
ISSN (Print): 2379-5271 ISSN (Online): 2379-528X Website: http://www.sciepub.com/journal/ajse Editor-in-chief: Vicente Garcia Diaz
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American Journal of Software Engineering. 2013, 1(1), 5-11
DOI: 10.12691/ajse-1-1-2
Open AccessArticle

Effort Estimation of Software Development: Depth View on IRAN Case

Yaeghoob Yavari1 and Hassan Bashiri2,

1Department of Computer Engineering, Payam Noor University, Hamedan, Iran

2Department of Computer Engineering and Information Technology, Hamedan University of Technology, Hamedan, Iran

Pub. Date: November 11, 2013

Cite this paper:
Yaeghoob Yavari and Hassan Bashiri. Effort Estimation of Software Development: Depth View on IRAN Case. American Journal of Software Engineering. 2013; 1(1):5-11. doi: 10.12691/ajse-1-1-2

Abstract

Although the age of software engineering goes more than a half of a century, successful software projects which meet time and costs based on primary estimation are also in high risk. There are various reasons with different weights for that. Management problem, scheduling and effort estimation are the most important ones. Precise estimation for software development is a very hard and complex task. Because of software special problems in Iran estimation challenges have been doubled between software development companies. Based on our experience at work, many incorrect estimations in software companies urged us research about more accurate statistics and reasons for this problem. More than thirty known companies were selected. We prepared a questionnaire to collect data about companies, as well as, their projects and information about project estimation. The results were analyzed and showed that in most of the cases estimation deviation is more than 40% from primary estimation and in some cases it is up to 60%. These statistics show the necessity of traumatology and more investigation into reasons of these deviations. Our studies have specified the most important reasons of these deviations and suggest some approaches to control them.

Keywords:
software metrics effort estimation use case points analogy agile

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