A Model for Comparative Analysis of the Similarity between Android and iOS Operating Systems

• Author: Lixandroiu, R. - Maican, C.
• Position: Faculty of Economic Sciences and Business Administration, Transilvania University of Brasov
• Pages: 313-318

Bulletin of the Transilvania University of Braşov

Series V: Economic Sciences • Vol. 7 (56) No. 2 - 2014

A MODEL FOR COMPARATIVE ANALYSIS

OF THE SIMILARITY BETWEEN ANDROID

AND IOS OPERATING SYSTEMS

R. LIX;NDROIU1 C. MAICAN1

Abstract: Due to recent expansion of mobile devices, in this article we try to

do an analysis of two of the most used mobile OSS. This analysis is made on

the method of calculating Jaccard's similarity coefficient. To complete the

analysis, we developed a hierarchy of factors in evaluating OSS. Analysis has

shown that the two OSS are similar in terms of functionality, but there are a

number of factors that weighted make a difference.

Key words: operating system, mobile, Android, iOS

1 Faculty of Economic Sciences and Business Administration, Transilvania University of Braşov.

1. Introduction

Android (developed by Google) and iOS

(developed by Apple) are the main

operating systems for mobile devices such

as smartphones, tablets or smart TVs.

From a technical standpoint, the Android

operating system is based on Linux, while

iOS is based on OSX and Unix.

The choice of a particular operating

system depends both on the device on

which that system will work, and on the

subsequent applicatio ns to be installed,

from Google Play or App Store for

Android and Apple App Store for iOS.

Android is the most popular operating

system worldwide and can be used on

several mobile devices created by different

manufacturers, whereas IOS can only work

on devices created by Apple.

2. The Jaccard similarity coefficient

The Jaccard index (or Jaccard similarity

coefficient) is a statistics used for

comparing the similarity and

diversity of sample sets. The Jaccard

coefficient measures the similarity between

many sample se ts.

The Jaccard similarity coefficient is

defined as the size of

the intersection divided by the size of

the union of the sample sets:

BA

BA

BAJ ∪

∩

=),( (1)

where, 1),(0

≤

≤

BAJ

The Jaccard distance, which

measures the dissimilarity between sample

sets, is complementary to the Jaccard

coefficient. It is obtained by subtracting

the Jaccard coefficient from 1. Th e same

thing is obtained by d ividing the difference

of the sizes of the union and the

intersection of two sets by the size of the

union: