Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization

Area of Science:

• Computer Science
• Software Engineering
• Performance Analysis

Background:

• Integrated Development Environments (IDEs) offer tools like code editors and debuggers, but struggle with performance defect detection in complex systems.
• Traditional IDE plugins for programming languages are often not reusable across different IDEs, increasing development effort.
• Standalone tracing and visualization tools lack integration with modern modular IDEs, limiting their utility.

Purpose of the Study:

• To propose an efficient, modular client-server architecture for trace analysis and visualization.
• To address the challenge of integrating tracing tools into modular IDEs, overcoming previous limitations.
• To facilitate performance analysis on resource-constrained devices like those in the Internet of Things (IoT).

Main Methods:

• Developed a modular client-server architecture specifically for trace analysis and visualization.
• Designed the architecture for seamless integration with modular IDEs, enabling interoperability.
• Focused on efficient data handling for potentially massive execution traces.

Main Results:

• The proposed architecture successfully integrates tracing capabilities into modular IDEs.
• Experimental evaluation confirmed the solution's scalability and flexibility.
• The architecture demonstrated a small, acceptable performance overhead compared to standalone tools.

Conclusions:

• The developed client-server architecture provides an efficient and reusable solution for trace analysis and visualization.
• This integration overcomes previous limitations, enhancing performance analysis within IDEs.
• The architecture is particularly beneficial for performance analysis on resource-limited IoT devices.