switch CATS for Schemathesis

Co-authored-by: Sofia Edvardsson <[email protected]>

contributions/executable-tutorial/rmfseo-sofiaedv/README.md

@@ -2,7 +2,7 @@
 
 ## Title
 
-REST API Fuzzing using CATS
+REST API Fuzzing using Schemathesis
 
 ## Names and KTH ID
 
@@ -29,21 +29,20 @@ that in a systematic fashion.
 Thus, we propose creating an executable tutorial that can pedagogically
 introduce developers unacquainted with these techniques to a specific workflow
 that they might use later in their professional lives. In particular, we wish to
-introduce learners to the [CATS](https://endava.github.io/cats) tool (Contract
-API Testing and Security), which allows for automated fuzzing of REST APIs based
-on an OpenAPI contract document.
+introduce learners to the [Schemathesis](https://schemathesis.io) tool, which
+allows for automated fuzzing of REST APIs based on an OpenAPI contract document.
 
 We will include a simple sample project with non-obvious logic errors, guide the
-user to run CATS and explore the potential vulnerabilities it detects, as well
-as show them how to use the information reported to easily fix or mitigate the
-problems in question.
+user to run Schemathesis and explore the potential vulnerabilities it detects,
+as well as show them how to use the information reported to easily fix or
+mitigate the problems in question.
 
 **Relevance**
 
 Automated fuzzing, especially in this particular context of REST APIs, is at the
 heart of automated testing, which we have discussed in week 2 of this course and
 is essential to allow for effective Continuous Integration without compromising
 robustness. Our proposed tutorial hopes to demonstrate how to use a tool like
-CATS as a key component in a testing pipeline to complement human-written and
-human-driven tests to ensure all stakeholders have confidence in the system's
-continuous reliability.
+Schemathesis as a key component in a testing pipeline to complement
+human-written and human-driven tests to ensure all stakeholders have confidence
+in the system's continuous reliability.