ABSTRACT
The
mobile apps market is one of the fastest growing areas in the information
technology. In digging their market share, developers must pay attention to
building robust and reliable apps. In fact, users easily get frustrated by
repeated failures, crashes, and other bugs; hence, they abandon some apps in
favor of their competition. In this paper we investigate how the fault- and
change-proneness of APIs used by Android apps relates to their success
estimated as the average rating provided by the users to those apps. First, in
a study conducted on 5,848 (free) apps, we analyzed how the ratings that an app
had received correlated with the fault- and change-proneness of the APIs such
app relied upon. After that, we surveyed 45 professional Android developers to
assess (i) to what extent developers experienced problems when using APIs, and
(ii) how much they felt these problems could be the cause for unfavorable user
ratings. The results of our studies indicate that apps having high user ratings
use APIs that are less fault- and change-prone than the APIs used by low rated
apps. Also, most of the interviewed Android developers observed, in their
development experience, a direct relationship between problems experienced with
the adopted APIs and the users’ ratings that their apps received.
AIM
The
aim of this paper is investigate how the fault- and change-proneness of APIs
used by Android apps relates to their success estimated as the average rating
provided by the users to those apps
SCOPE
The scope of
this paper is analyzed how the ratings that an app had received correlated with
the fault- and change-proneness of the APIs such app relied upon.
EXISTING
SYSTEM
Stability
and fault-proneness in the Android API is a sensitive and timely topic, given
the frequent releases and the number of applications that use these APIs.
Therefore, the goal of this paper is to provide solid empirical evidence and
shed some light on the relationship between the success of apps (in terms of
user ratings), and the change- and fault-proneness of the underlying APIs
(i.e., Android API and third-party libraries). We designed two case studies. In
the first study we analyzed to what extent the APIs fault- and change-proneness
affect the user ratings of the Android apps using them, while in the second we
investigated to what extent Android developers experience problems when using
APIs and how much they feel these problems can be causes of unfavorable user
ratings/comments
DISADVANTAGES
· Users
easily get frustrated by repeated failures, crashes, and other bugs
· They
abandon some apps in favor of their competition.
PROPOSED SYSTEM
In
this project, the purpose of our study is to investigate whether the change-
and fault-proneness of APIs used by the app relates (or not) to the app
success, measured by its ratings. That is, a heavy usage of fault-prone APIs
can lead to repeated failures or even crashes of the apps, hence encouraging
users to give low ratings and possibly even abandoning the apps. Similarly, the
use of unstable APIs that undergo numerous changes in their interfaces can
cause backward compatibility problems or require frequent updates to the apps
using those APIs. Such updates, in turn, can introduce defects into the applications
using unstable APIs. Results of our first study demonstrate that Android apps
having higher user ratings generally use APIs that are less fault- and
change-prone than APIs used by low rated apps.
ADVANTAGES
· APIs
used by apps having high user ratings are significantly less fault-prone than
APIs used by low rated apps
· Our
findings highlight the importance of avoiding change-and fault-prone APIs, it
must be clear that selecting the best APIs to use is far from trivial
SYSTEM CONFIGURATION
HARDWARE REQUIREMENTS:-
· Processor - Pentium –III
·
Speed - 1.1 Ghz
·
RAM - 256 MB(min)
·
Hard
Disk - 20 GB
·
Floppy
Drive - 1.44 MB
·
Key
Board - Standard Windows Keyboard
·
Mouse - Two or Three Button Mouse
·
Monitor -
SVGA
SOFTWARE REQUIREMENTS:-
·
Operating
System :Android OS
·
Front
End : JAVA
·
Database
: SqLite
·
Tool :Eclipse
REFERENCES
Linares-Vasquez,
M., Bernal-Cardenas, C.E., Bavota, G, Di Penta, M. “The Impact
of API Change- and Fault-Proneness on the User Ratings of Android Apps” IEEE
Transactions on Software Engineering, Volume 41, Issue 4
November 2014
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