Statistical Analysis of Effort Estimation Techniques Deployed for Android Platform

Abstract

Software project’s work estimation as well as software project cost estimation is the very chief skill of software development houses. Cost and work guesstimate plays an active protagonist in accomplishment of the soft project deployment and also benefitted income. Cost as well as work prediction is most challenging decision making activity, as several product variables are difficult to identify and never stress-free to guess in any premature level of product Development practice. Android project development industry is growing very rapidly. Being the operating system for the number of smart phones, tabs, and embedded system, and huge apps store containing 450 million apps for end user, the Android   had become a very important part of software industry. The effort and cost estimation for such huge field is an important task as the people are using Android   apps in their business and other areas of life. This paper analyzes the different techniques deployed for this purpose and use statistical testing for analysis of a better technique.

Keywords: Android, cost estimation, time estimation, Chi-Square.