A Study of the Relation of Mobile Device Attributes with the User-Perceived Quality of Android Apps

Presented by Ehsan Noei, Mark D. Syer, Ying Zou, Ahmed E. Hassan, and Iman Keivanloo

Software

A study of the relation of mobile device
attributes with the user-perceived quality of
Android apps
1
Ehsan Noei, Mark D. Syer, Ying Zou, Ahmed E. Hassan, and Iman
Keivanloo

Different mobile devices are available in the market.
2

The number of mobile apps continues to rise.
3
0
0.5
1
1.5
2
2.5
3
3.5
4
Dec
'09
Apr
'10
Oct
'10
Jul
'11
Dec
'11
May
'12
Sep
'12
Apr
'13
Jul
'14
Jul
'15
Feb
'16
Dec
'16
Jun
'17
Dec
'17
Month
MillionApps

Users rely on star-ratings when choosing a new app.
5

Do devices have a relationship with
the user-perceived quality of Android
apps?
Which device attributes share the
most significant relationships with the
user-perceived quality?
Do device attributes have a stronger
relationship with the user-perceived
quality than app attributes?
RQ1)
RQ2)
RQ3)
6

8
Google Play Store
User-reviews
APK Files

9
Google Play Store
User-reviews
APK Files

10
Google Play Store
150,373
star-ratings
30 mobile devices
Bytecode of 280 Apps

RQ1) Do devices have a relationship with the
user-perceived quality of Android apps?
11

The user-perceived quality of apps varies across
devices.
12

The user-perceived quality of apps varies across
devices.
13

RQ2) Which device attributes share the most
significant relationships with the user-perceived
quality?
14

Mixed effects model
Dependent variable
Independent variables
Mixed effect variables
Star-ratings
Device attributes
App and device
15

Display Size
Resolution
OS Version
CPU
GPU
Internal RAM
Internal ROM
Camera
Talk Time
etc.
16
Device Attributes

Mixed effects model
Dependent variable
Independent variables
Mixed effect variables
Star-ratings
Device attributes
App and device
17

18
OS Version
Display
Resolution
CPU
Standby
Time
Camera GPU Battery Device Size

Device attributes share a significant
relationship with the user-perceived quality.
19
OS Version
Display
Resolution
CPU
Standby
Time

Having a better characteristic of an attribute
does not necessarily share a positive
relationship with the user-perceived quality of
apps.
20
↘ ↘ ↗ ↗
OS Version
Display
Resolution
CPU
Standby
Time

RQ3) Do device attributes have a stronger
relationship with the user-perceived quality than app
attributes?
21

Mixed effects model
Dependent variable
Independent variables
Mixed effect variables
Star-ratings
Device attributes + App
attributes
App and device
22

Display Size
Resolution
OS Version
CPU
GPU
Internal RAM
Internal ROM
Camera
Talk Time
etc.
24
LOC
#Methods
WMC
Installation Package Size
UI Depth
#UI Nodes
#Inputs
#Outputs
#Activities
etc.
App AttributesDevice Attributes

26
OS Version
Display
Resolution
CPU
Standby
Time

27
OS Version
Display
Resolution
CPU
Standby
Time
LOC WMC
#Inputs

28
Both the app and the device attributes have
significant relationships with the user-perceived
quality.
OS Version
Display
Resolution
CPU
Standby
Time
LOC WMC
#Inputs

Attribute Effect
LOC *** ↘
WMC *** ↘
#Inputs * ↗
APK Size ↗
OS Version *** ↘
Resolution ** ↘
CPU * ↗
Standby Time * ↗
Photo Size (MP) + ↘
Internal ROM + ↘
29
Some device attributes have stronger relationships
with the user-perceived quality than some app
attributes.

The user-perceived quality of apps varies across
devices.
31

Having a better characteristic of an attribute
does not necessarily share a positive
relationship with the user-perceived quality of
apps.
33
OS Version
Display
Resolution
CPU Standby Time
↘ ↘ ↗ ↗

35
Both the app and the device attributes have
significant relationships with the user-perceived
quality.
OS Version
Display
Resolution
CPU
Standby
Time
LOC WMC
#Inputs

Attribute Effect
LOC *** ↘
WMC *** ↘
#Inputs * ↗
APK Size ↗
OS Version *** ↘
Resolution ** ↘
CPU * ↗
Standby Time * ↗
Photo Size (MP) + ↘
Internal ROM + ↘
37
Some device attributes have stronger relationships
with the user-perceived quality than some app
attributes.

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