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Symtavision has launched Symt 2.4, a new version of its tools suite for system-level timing design and verification targeting automotive electronics, aerospace, automation and transportation markets.

The Symt tools suite helps engineers work with complex, safety- and performance-critical embedded real-time systems, including controllers, processors, bus/networks and complete integrated systems, by facilitating their rapid and cost-effective design, optimisation and timing verification, from early-phase estimation though to final certification.

New features in Symt 2.4 include support for importing and optimising Autosar electronic control unit (ECU) and network configurations, multi-core ECU performance analysis and partitioning, end-to-end worst-case and statistical timing analysis, multi-dimensional timing dependency and data consistency analysis, enhanced Python scripting and remote-control tool automation.

Symt 2.4 significantly improves automotive process integration with the inclusion of a new Autosar XML import interface enabling Autosar ECU and network configuration import and optimisation.

With Symt 2.4 engineers can easily extract the architecture and related parameterisation relevant for system-level timing analysis.

It also facilitates tighter coupling with third-party Autosar architecture design and ECU configuration tools equipped with XML export support.

With the enhanced multi-core processor performance analysis and partitioning support in Symt 2.4, engineers are able to ensure their software designs have a balanced load on all cores, that all timing deadlines are met and that the software architecture is optimised for further multi-core development.

By analysing delays occurring between sensors and actuators as worst-case and statistical typical-case values, the new end-to-end worst-case and distribution timing analysis capabilities in Symt 2.4 enable systems to be easily optimised for both hard real-time and best-effort communication.

The multi-dimensional timing analysis focuses on scheduling offsets.

Engineers can optimise a system by varying task and communication scheduling offsets and analysing the impact on real-time performance.

The data consistency analysis focuses on memory-based communication in pre-emptive real-time systems, enabling engineers to improve communication layouts by verifying if a variable can change in-between multiple reads.

The inclusion of a new remote-control feature in Symt 2.4 using a web service based on SOAP and including a dedicated API for controlling Symt improves tool automation and tool-chain integration.

The scripting capability has also been significantly improved with the integration of the Python programming language, enriched with a dedicated API for controlling Symt.

Symtavision

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