Update README.md

Author: nenuadrian

README.md

@@ -1,49 +1,45 @@
-#  BSc Dissertation Project - University of Manchester - Non-intrusive JVM agents for capturing the internal state of live production applications
+# BSc Dissertation Project - University of Manchester - Non-intrusive JVM agents for capturing the internal state of live production applications
 
 [![CMake on a single platform](https://github.com/nenuadrian/c-java-native-interface-agent-stack-trace-heap-capture/actions/workflows/cmake-single-platform.yml/badge.svg)](https://github.com/nenuadrian/c-java-native-interface-agent-stack-trace-heap-capture/actions/workflows/cmake-single-platform.yml)
 [![LaTeX Build](https://github.com/nenuadrian/bsc-dissertation-c-java-native-interface-agent-stack-trace-heap-capture/actions/workflows/main.yml/badge.svg)](https://github.com/nenuadrian/bsc-dissertation-c-java-native-interface-agent-stack-trace-heap-capture/actions/workflows/main.yml)
 
 ## Overview
-This repository contains the implementation of a C JNI Agent designed to recursively capture the values of objects within methods on a stack trace.
 
-![design](DISSERTATION/end-design.png)
-
-## Prerequisites
-To utilize this agent, you need to install the following libraries:
-- `libxml2`
-- `crypto`
-- `openssl`
+This project implements a non-intrusive JVM agent capable of capturing the internal state of live production applications. The agent is written in C and utilizes the Java Native Interface (JNI) to interact with the Java Virtual Machine (JVM). It recursively captures the values of objects within methods on a stack trace, providing valuable debugging information without impacting application performance. [cite: 23, 24, 25, 55, 56, 57]
 
-## Installation and Usage
-1. **Building the JNI Agent**:
-   Compile the JNI agent and generate the library files.
-   
-2. **Running with Java**:
-   Incorporate the resulting library files using the Java command's `-agentpath` flag.
+![design](DISSERTATION/end-design.png)
 
-## Scala Spray Server Integration
-This agent interfaces with a basic Scala Spray server to record captured values in MongoDB.
+## Key Features
 
-### Configuration
-- Modify the `src/main/resources/application.conf` file to configure the server settings.
-- Build and run the server using `sbt run`.
+* **Non-intrusive:** The agent operates independently of the JVM, minimizing performance overhead and avoiding any interference with the application's normal execution. 
+* **Cross-Platform Compatibility:** The agent is designed to be compatible with various operating systems, including macOS, Windows, and Linux.
+* **Recursive Object Capture:** The agent can recursively capture the values of objects on the heap, providing a comprehensive snapshot of the application's state at the time of an exception.
+* **Efficient Data Handling:** The agent employs data compression techniques to reduce the amount of data transmitted and stored, improving efficiency and minimizing resource usage.
 
-## FuelPHP Dashboard
+## Technologies Used
 
-![dashboard](DISSERTATION/dashboard-app.png)
+* **JNI (Java Native Interface):** Enables the C agent to interact with the JVM and access its internal state.
+* **JVMTI (JVM Tool Interface):** Provides additional capabilities for monitoring and debugging the JVM.
+* **Scala:** Used to implement the API server, which handles data communication between the agent and the dashboard. 
+* **Spray:** A Scala library used for building RESTful APIs, facilitating communication between the agent and the dashboard.
+* **MongoDB:** A NoSQL database used for storing the captured data.
+* **FuelPHP:** A PHP framework used to develop the dashboard for visualizing and exploring the captured data.
+* **Miniz:** A data compression library used to optimize data transfer and storage.
+* **OpenSSL:** A cryptography library used for data encryption and security. 
 
-A FuelPHP dashboard displays the analysis results by communicating with the Scala Spray server.
+## Installation and Usage
 
-### Setup
-- Perform `composer install` to set up the FuelPHP dashboard.
+Refer to the project's README for detailed instructions on building and deploying the agent, API server, and dashboard.
 
 ## Note
-This implementation serves as a Minimum Viable Product (MVP). It is not stable, secure, or optimized. However, relevant code snippets can be extracted and used, especially those demonstrating communication with the JNI.
+
+This implementation is a Minimum Viable Product (MVP) and is not intended for production use without further development and hardening.
 
 ## Disclaimer
-This was academic research, and no guarantees or maintenance are provided.
 
-# Cite
+This project was developed as part of academic research. No guarantees or maintenance are provided.
+
+## Cite
 
 ```
 @article{jniAgents,