Interim submission for parts 05,06,07 done

README.md

@@ -6,7 +6,8 @@ This project has the goal of writing a search based automated test generator for
 It is part of the Knowledge Search & Extraction - 2023 course from the Università della Svizzera italiana.
 
 In this repository, you can find the following files:
-- benchmark folder: which contains the benchmark of functions under test to be instrumented
+
+- `benchmark/` folder: which contains the benchmark of functions under test to be instrumented
 
 Note: Feel free to modify this file according to the project's necessities.
 
@@ -19,3 +20,31 @@ python3 -m venv env
 source env/bin/activate
 pip install -r requirements.txt
 ```
+
+## Instrumentation (Part 1)
+
+To generate the instrumented code for all the files in the benchmark run the command:
+
+```shell
+python3 ./instrument.py
+```
+
+The generated files are created in the directory `instrumented`. Each file name matches the file name of the
+corresponding source file in `benchmark`.
+
+## Test case generation (Part 2 and Part 3)
+
+To generate test cases for all files in the benchmark run the command:
+
+```shell
+python3 ./genetic.py
+```
+
+The test suite is created in the directory `tests`. One test class is generated for each function defined in the 
+`benchmark` package. Run the command with the `-h` options for more details on partial generation.
+
+The test suite can be then executed over the benchmark code with the command:
+
+```shell
+python3 -m unittest discover tests
+```