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The document describes testing procedures for a GPS application. It discusses hurdles in GPS testing like signal fluctuations with barriers and weather. It outlines the test strategy used including functional, load, performance, and field testing. The main testing focuses are on functionality, network connectivity, usability, scalability, security, and performance. GPS module testing procedures are described including using simulators, collecting real trip data, and analyzing signal strength and location data. JMeter is used for load and performance testing, and custom tools are created for issue tracking.
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Table of Contents
01.Introduction
02. Hurdles in front
03. Features of the app
04. Tools used for the project
05. Test strategy, process and procedure
06. Main focus points in testing
07. GPS module testing procedure diagram
08. GPS module testing procedure
09. Testing using JMeter
10. JMeter graphical representation window
11. Log data of signal, latitude and longitude related testing
12. Custom made windows for clients and testers to track issues
13. Our test strategy
14. Cloud based testing
15. Conclusion
16. For further insights on GPS
related app features and testing
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3.
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Location based appsand software are becoming omnipresent owing to its great
potential. Applications of such apps are plentiful and at present they are mainly
put to use in industries such as,
Testbytes has tested many location based application in the past. One of the
prestigious one was created by Trackschoolbus.
Let’s walkthrough the process, methodology and tools used in testing the app
TICKETS
AIRPLANE PASSPORT
Retail industry for
Geo Location
On-demand services
such as online taxi
Fleet management
Games
Educational institution
Construction
Food & Drinks
Courier/Delivery services
Travelling
Fitness
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4.
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Hurdles in front
GPSpositioning systems can accurately detect an object in normal conditions.
However, it can show great deal of fluctuations when there is a barrier involved.
Above all that if there an adverse weather conditions GPS signals can get
affected too.
Since huge amount of data is transferred between client and server side
applications performance of the apps can be gravely affected
This bottleneck comes from the limitation of both hardware and software of the
mobile device. Network connection is one of the reasons that makes the
location based service device’s vperformance go up and down.
Moreover, GPS handles a huge amount of data and it solely work on integration
with satellites extensive testing is required. Moreover, hardware integrated with
it and devices which GPS work have the chances to produce varied result. Thus
making testing on the most important process in the production of such location
based software.
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Features of theapp
• Angle of deviation calculation
• Two factor attendance management
• Trip detail generation
• Parking slot management
• Geo fencing
• Compare user location –
pickup – drop off point
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• Regular location updates
• Route planner
• Route optimization
• Online payment system
• Excursion management
• Speed calculation
• Share location
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For documentation andtracking bugs
Signal Simulator
Executing text based commands
For testing and test automation
custom coded scripts
in-house application
Tools used for the project
in-house artificial
signal generators
Hercules
Terminal
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Test strategy processand procedure
Types of testing performed
• Functional testing
• Design issues
• Usability testing
• Manual Testing
• Load testing
• Performance testing
• Field testing
• Integration testing
• Cross platform testing
• Installation testing
• Real device testing
• Emulator based testing
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Main focus pointsin testing
Functionality:
in the case of a location based application
functionality test will differ from that of a
normal one. We tested the app to find out
how themobileappbehaves to input contexts,
validate location query and data. Often,
black-box testing techniques such as
equivalence partitioning and decision-table-
based methods were conducted to ensure
functional perfection of the software. When new features, location etc. Are
added to the app, regression testing was done to spot anomalies.
Network Connectivity Testing:
steady and stable network connectivity is a
must for any tool that’s being put to use for
location based activities. To get a real picture
of mobile apps behaviour and performance
network testing has to be done in different
network context. Besides all these, accuracy
of positioning system and bandwidth are
cardinal factor of any location based app.
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Usability Testing:
Usability ofany software is essential for its survival. It is ensured through users’
participation and their expectations on satisfaction, learnability, and efficacy of
the app. From a user perspective usability
can be evaluated by interface design, ease
of access, swiftnessand reliability of the app
in response to requested location service.
Tomeettheexpectation of auser combination
of various field as well as lab tests has to be
performed on the app. Field based testing
has of more importance in a location based
application as it is the scenario in which a
user is directly engaged to the application.
Scalability Testing:
In testing LBS, a test engineer should ensure
scalability of resources and services of the
entire system. Resources including database,
application servers, positioning systems and
networkserviceshastobecheckedcontinuously.
Consideringthehuge increase in mobilephone
user’s tests like this has to be conducted. Measuring scalability bottlenecks can
be integrated into a test environment where hardware and software resources
are analyzed, and the change of the app behaviour is monitored and reported for
a further test plan. To achieve these goals, load and stress testing are proper
solutions
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Security and Privacy:
Securityis the biggest concern ofany location
based application and the potential danger
of revealing your location can happen. To
overcome this, testcases has to be designed
that has a secure transmission protocol.
Performance:
Be it any app performance is vital. In the case
of a location based application there are other
factors that will come to play. This was kept in
mindwhileperformanceoftheappwas tested.
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GPS Module installedto the devices
Testing, both manual and automated
are conducted on regular intervals
GPS signal quality is measured with
respect to various conditions
Location related data is acquired
through simulator test and field test
Acquired data is fed to the central
system to analyze the module
Optimum Devices are selected
GPS module testing procedure
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GPS module testingprocedure
• Always testing on physical devices is better, owing to that we used mobile
phones from various vendors for testing
• Devices and hardware used for testing are carefully picked after confirmation
from previous tests
• We have always made sure tests are conducted on regular interval as per our
system configuration
• We have developed in-house testing tools for both bug tracking and report
generation
• For field testing a digital perimeter is set and vehicles with live tracking apps
are set to travel. In short, lot of live trip data is collected for analysis
• Since Mobile phones work on internal GPS. Satellite catch accuracy,
frequency and strength was evaluated
• Various geographical locations and barriers are selected to measure the
signal quality
• Successive signals are compared for anomalies
• Signal strength and vehicle speed is also compared
• There are plenty of GPS hardware out there in the market made by multiple
vendors for accurate tracking and other purposes. We make use of the most
widely used ones to collect varied data to conclude which one is the best.
• Historic trip data is fed to the system at regular intervals to check anomalies
• If there is any, fine tuning will be done and the tests will be repeated
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• To artificiallygenerate GPS signals we have developed in-house simulators
that feed the system with artificial signals at different intervals.
• Various signals such as 2G, 3G and 4G are fed to the system to find out how
it responds.
• Since location is changing continuously in vehicle signal strength and type
can also change test cases designed for such cases are done by considering
various factors such as wireless network environments, position environment,
speed, location relation between moving object and mobile users etc.
• Data that we gained using real-time vehicle travel and simulators are fed to
the system and a in-house software is integrated to it so that feeding data
can be auto-repeat
• Results and bug tracking report are sent to customers at recommended
intervals
• Regular communication between client, developers and testers were carried
through
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Testing using JMeter
Jmeteris an impeccable tool when for load testing and performance testing
of any software.
Here is how we used the tool in testing the application,
• Vehicle tracking and trip creation environment were artificially simulated
using TCP sampler by using GSM signals
• Values such as latitude and longitude were parsed in GSM signals with the
help of various Jmeter elements such as Timers, processor, configuration
elements etc.
• We used "Thread group" component for hit certain amount of signals on the
server with particular time duration with respect to loop count(s)
• Load test report with vivid graphical representation were created using listeners
• Clients can see various results in form of graphical representation, summary
reports, result tree etc.
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Our test strategy
Creatinga test environment: Choosing the correct tools, optimal
device selection, methodology, which OS, simulators, servers etc are finalised
in this fragment
Testscenariocreation andimplementation:Based on varied factors,
requirements. Point of interest, location data etc. test cases were developed
Test Coverage Analysis:Requiredcoverage criteria is applied to validate
the importance of location and moving path for mobile elements
Execution of test cases: All locations chosen and test cases were
tested well. Information gathered as a result were documented.
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Cloud based testing:
Time-to-timecloud resources were utilised to minimize human effort and to
maximize efficiency of the tests performed. They also acted as remote for
various devices located all around the globe.
Positive traits
• Time frame was one of the biggest hurdles in front of us, Since our
company is enriched with people who are good at time management,
it was not that much of a big deal.
• Location based apps are a bit tricky to test since weather plays an integral
part in the GPS signal quality. We were able to tackle the situation
effortlessly
• Array of devices were deployed to test the application. An AI based
program was created by our development team to check whether the
processes and devices are in sync
• Since field testing was one the most important aspect of the entire
testing project, more testers had to be deployed and effective resource
management
• DevOps methodology was adopted to accelerate the testing-development
process for quick deployment
• Our company believes in customer-centric approach. So make all the
processes transparent, an in-house issue tracking window was created
so that customers can monitor our activities.
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Future proof approach
•We set up an entire laboratory that as the capability to carry out
testing 24X7. We are further planning to develop it into a testing
facility that can also work 365 days an year
• The brand new facility will be fully automated and will have
simulators that can create any kind of scenario
• In this state-of-the-art laboratory the section which can carry
out location based appt testing will have AI that can identify
internal and external factors that can impact smooth running of
the Location based application
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• External factors that can affect the application include, capability
of hardware to fetch signals, geographical parameters etc
• Internal factors include scalability of servers and simulators,
software, hardware system integrated to it etc.
• If there is any kind of disruption in between this connected device
our in-house AI program will detect it and can notify us as early
as possible.
Conclusion
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For Further insightson GPS
related app features and testing
https://www.redbytes.in/top-10-best-gps-tracking-apps-for-android/
https://www.redbytes.in/how-to-make-a-gps-tracking-app/
https://www.testbytes.net/blog/5-conditions-added-mobile-app-testing-checklist/
https://www.testbytes.net/blog/mobile-apps-testing/
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