[release] Updated changelog for release 0.2

CHANGES.md

-## 0.1.1 (Unreleased)
+# 0.2 (19-06-2023)
 
-- Add first version of the CAISAR manual.
+- [prover] Integration of the [nnenum](https://github.com/stanleybak/nnenum) prover.
+- [prover] Integration of the [$\alpha-\beta-$CROWN](https://github.com/stanleybak/nnenum) prover.
+- [prover] Integration of the AIMOS metamorphic testing prover.
+- [prover] Add printer for VNN-LIB format for property specification as supported by nnenum and $\alpha-\beta-$CROWN provers.
+- [prover] Support for multiple configurations of provers, using the `prover-altern` command line option.
+  An example of registering an alternate configuration is available under `config/caisar-detection.conf`
+- [prover] Add transformation to translate ONNX format into SMTLIB format for allowing SMTLIB2 compliant provers to work on neural networks.
+- [doc] The first version of the CAISAR manual is available
+  publicly on our [website](caisar-platform.com/documentation).
+  It includes detailed installation instructions,
+  examples on the ACAS-Xu and MNIST local
+  robustness benchmarks. Those examples use an experimental
+  interpretation language that is not fully documented yet.
+- [deps] Upgraded Why3 to 1.6.0 version
 - Add `verify-json` command for verifying a robustness property via a JSON
   configuration file.
-- Integration of the [nnenum](https://github.com/stanleybak/nnenum) prover.
-- Add printer for VNN-LIB format for property specification as supported by the
-  `nnenum` prover.
-- Add transformation to translate ONNX format into SMT-LIB format for allowing
-  classic solvers to understand and operate on neural networks.
 - Add verification of datasets for classification tasks in terms of a specific
   CSV format: each line provides the label in 1st column, and data features in
-  the other columns. Also, add builtin implementations of min-max scaling and
-  z-score normalization for data normalization.
-- Rework the section in `README.md` for obtaining CAISAR in order to mention the
-  `opam` package just released.
+  the other columns.
+- Add builtin implementations of min-max scaling and z-score normalization for data normalization.
+- Add support for memory limitation and timeout.
+- Add debug logging options.
 
-## 0.1 (13-07-2022)
+# 0.1 (13-07-2022)
 
 First public release of CAISAR.