Thesis: Test automation for Android ECU (Electronic Control Unit)

Background
The test automation for our Android ECU today is done using indigenously developed python framework based on google test framework (uiautomator) and pytest.


Problem
Today test development is not happening in parallel with software development.
The test development is tightly connected to the software development and the test is more prone to break due to non-functional software changes. This also demands more time for maintenance of the tests.
Not capable of giving on-demand feedback for the developers
Questions stability of the test

Solution
Investigate different android testing frameworks on the market and present the Pros and Cons of different frameworks and their adaptability to our Android based ECU.
Focus may include the topics below:
Pre-build tests using AI (Artificial Intelligence)
Seamless algorithmic locators' system
Auto test maintenance
Capability to integrate into CI (Continuous Integration)
Pricing plan
Licensing terms



Goal of the thesis
Submission of a detailed study report by analyzing the pros and cons of different android test frameworks and their adaptability to our Android based ECU


Desirable expertise
Embedded systems
Automotive systems
Linux, Python
Artificial Intelligence
Machine Learning
Android
CI/CD

Kick-off date
Any time in 2023.


Additional info
The scope can be flexible and adapted to 1-2 students, depending on how many students you are and how much time you have for your thesis


Some reference links:
https://www.tensorflow.org/
https://huggingface.co/
https://learntodroid.com/android-testing-tools/
https://www.softwaretestinghelp.com/5-best-automation-tools-for-testing-android-applications/#1_21_8211_AI_Test_Creation_And_Analytics_For_Android