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+# Assignment Proposal
+
+## Title
+
+Property-based testing in Python using Hypothesis
+
+## Names and KTH ID
+
+  - Sam Khosravi (samkh@kth.se)
+  - Atheer Salim (atheers@kth.se)
+
+## Deadline
+- Week 2
+
+## Category
+- Presentation
+
+## Description
+
+We want to explain the topic of property-based testing, 
+where the coder defines the properties that the test cases must satisfy, 
+which then automatically generates test cases that enforce these properties. 
+We will look at how this is done in practice in Python using Hypothesis, 
+which is a library for creating unit tests in Python, based on property-based testing.  
+Instead of normal example-based testing, which we have seen in school where we manually define input-output pairs, 
+property-based testing instead tests a wider range of inputs to make sure that the code keeps true to the properties the coder has defined.
+
+**Relevance**
+
+Usually, example based testing is used when writing unit tests, where the programmer has to come up with various test inputs and define what the expected results are. 
+This is tedious and error-prone in the long run, thus one can utilize property-based testing to speed up the processes. 
+Property-based testing also explores more inputs and conditions, which makes it easier to uncover edge cases. 
+This is relevant to DevOps as it concerns test automation as well as being able to significantly enhance the testing suite.