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INVESTIGATING COUNTRY DIFFERENCES IN MOBILE

APP USER BEHAVIOR AND CHALLENGES

FOR SOFTWARE ENGINEERING

ABSTRACT

In this paper we study about Mobile applications are software developed for use on mobile devices and made available through app stores. App stores are highly aggressive markets where developers need to cater to a large number of users straddling multiple countries. This work hypothesizes that there exist country differences in mobile app user behavior and conducts one of the largest surveys to date of app users across the world, in order to identify the precise nature of those differences. The survey investigated user adoption of the app store concept, app needs, and rationale for selecting or abandoning an app. We collected data from more than fifteen countries. Analysis of data provided by  participants showed significant differences in app user behaviors across countries, for example users from USA are more likely to download medical apps, users from the United Kingdom and Canada are more likely to be influenced by price, users from Japan and Australia are less likely to rate apps. Analysis of the results revealed new challenges to market-driven software engineering related to packaging requirements, feature space, quality expectations, app store dependency, price sensitivity, and ecosystem effect.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- Existing mobile developer forums to solicit respondents. Their survey revealed that developers adhered quite well to recommended sets of “best practices” but rarely used any formal development processes.   Existing research into app user behavior focus on a specific smart phone, app store, app, app category country, or age group.	PROPOSED CONCEPT:- In the proposed system proposed that while many software engineering techniques will transfer easily to the mobile apps domain, there are other areas for new research and development such as user experience, non-functional requirements, processes, tools, and architecture. Proposed using mobile devices to elicit end-user needs. Using their proposed method, mobile phone users can document their needs and requirements using text entry, audio recordings, and images captured using their phone.
EXISTING ALGORITHMS:- Genetic Algorithms	PROPOSED TECHNIQUE:- Random and stratified sampling technique
ALGORITHMS  DEFNITION:- In this algorithm particular evolutionary computation techniques such as genetic algorithms that have been used to generate attractive can be adapted to generate country-specific attractive app icons and app graphics based on existing icons in the app store for each country.	TECHNIQUE  DEFNITION:- Software engineering techniques will transfer easily to the mobile apps domain, there are other areas for new research and development such as user experience, non-functional requirements, processes, tools, and architecture.
DRAWBACKS:- Existing apps were of insufficient quality Merely importing all information from a textbook into an app does not provide the optimal user experience due to screen size or other restrictions.	ADVANTAGES:- The reimbursement of app stores comes with significant challenges. Successful apps that have been downloaded thousands of times have a chance of obtaining useful user feedback.