EconPapers    
Economics at your fingertips  
 

MOBILE COMPUTING USING ANDROID WITH AN EMPHASIZES ON ECONOMIC APPLICATION

Magnolia Tilca
Additional contact information
Magnolia Tilca: ”Vasile Goldiş” Western University of Arad, Faculty of Economy Science, Engineering and Computer Science

Network Intelligence Studies, 2016, issue 8, 125-135

Abstract: As result of the convergence of computers and mobile phones, Android comes with the great opportunity of implementing personal mobile applications in a Java language environment. The paper presents two main aspects concerning the new age of programming. The first aspect refers to the existing library of applications in economic domain. The paper extracts the most useful financial and business apps that run on Android smart-phones. The second aspect presents an example of building an economic application using one of Android’s various IDEs (Integrated Development Environments): Android Studio. The developed app calculates the prognosis of a business size starting from known statistic data sets and evaluates the effort of the business implementation, using the linear regression method. The app differs from other Android applications by the explicit answers that result from the regression calculus

Keywords: Android Studio; Economic apps; Java language; Linear regression (search for similar items in EconPapers)
JEL-codes: L86 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/NIS_8_2.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:networ:y:2016:i:8:p:125-135

Access Statistics for this article

Network Intelligence Studies is currently edited by Romanian Foundation for Business Intelligence

More articles in Network Intelligence Studies from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().

 
Page updated 2025-03-19
Handle: RePEc:cmj:networ:y:2016:i:8:p:125-135