Percepio AB, the Swedish developer of RTOS visualization tools, announces a major update of Tracealyzer, its industry-leading tool for visual software tracing of RTOS-based embedded systems and IoT devices.
Tracealyzer version 4 has been redesigned from the bottom up, spanning from much faster data processing to a fresh modern user interface with live visualization. It also sports a host of new features aimed at empowering embedded developers and enabling them to get their products to market faster with fewer bugs.
“This is the largest update of Tracealyzer ever, with a lot of new analysis and visualization features that users have been asking for. After mainly focusing on broad RTOS support, this marks the beginning of a new phase featuring more powerful, user-defined analysis. It’s a greater value for a greater number of developers.
Tracealyzer 4 is a whole new experience and a very powerful tool for embedded software developers,” says Dr. Johan Kraft, Percepio founder and CEO.
Some of the groundbreaking new features are
- Unlimited tracing
Monitor your application over long test runs, spanning hours, days or even weeks, and see analysis results, such as task execution times, immediately. Find interesting spots in the new trace preview and drill down into the details using the full power of Tracealyzer.
- Advanced live visualization
View the trace live while recording. Pause individual views to zoom in and inspect details while recording continues in the background. This way you can spot issues in the trace directly as they occur.
- Network and I/O awareness
Tracealyzer 4 provides better support for tracing Internet-of-Things devices and other connected applications with new awareness of network and I/O events. This allows for visualizing communication data rates over time,
as well as the runtime interactions between tasks and communication interfaces like TCP sockets.
- User-defined analysis
Adapt Tracealyzer to your specific use case and see what really matters to you. Tracealyzer 4 allows you to define custom intervals that highlight and report the time between selected software events. Moreover, with user-defined state machines you can visualize any state information in the trace, from software state variables or logged hardware states, either as state transition graphs or shown on a time line, much like in a logic analyzer.