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Model based acceptance testing as a part of continuous delivery, Case: ContriboardPetri MatilainenBachelor\'s Thesis December 2014Degree Program in Information Technology, Communication and TransportDescription Author Catiline,
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How to fill out model-based acceptance testing as

01
Identify the system or application under test.
02
Define the functional requirements and desired behavior of the system.
03
Create a model that represents the system and its interactions.
04
Identify the test scenarios and test cases based on the model.
05
Prioritize the test cases based on importance and risk.
06
Execute the test cases and compare the actual results with expected results.
07
Analyze and report any discrepancies or issues found during testing.
08
Repeat the process for different versions or configurations of the system.

Who needs model-based acceptance testing as?

01
Model-based acceptance testing is beneficial for software development teams, quality assurance professionals, and stakeholders involved in the development and testing process.
02
It helps ensure that the system meets the desired requirements and behaves as expected.
03
Organizations that prioritize rigorous testing and quality assurance can benefit from model-acceptance testing to improve the overall reliability and performance of their software systems.
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Model-based acceptance testing is a software testing technique where test cases are derived from a model that describes the functional aspects of the system under test.
Developers and testers involved in the software development process are required to perform model-based acceptance testing.
To fill out model-based acceptance testing, testers need to create test cases based on the model of the system and execute them to verify the system's functionality.
The purpose of model-based acceptance testing is to ensure that the software meets the specified requirements and functions correctly.
Model-based acceptance testing reports must include information about the test cases, test results, and any defects found during testing.
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