9 tips for better code coverage measurement
With the right approaches and suitable tools, measuring test coverage is possible without excessive effort. These practical tips can help you get started. Measuring code…
Tools & Software
Using Python to simplify noise analysis of mixed-mode signal chains
This tutorial will focus on the noise of individual signal chain elements, modeling them with Python/SciPy and LTspice.
Lynx’ Google Anthos bare metal support secures Kubernetes to cloud
Lynx Software Technologies announced that its MOSA.ic platform now supports deployment of Google Anthos bare metal at the mission critical edge, enabling secure delivery of containerized software services from the cloud, such as Google Cloud Visual Inspection AI service, providing a validated solution for secure, video-based quality inspection.
Cadence CFD software provides 10x the accuracy of standard flow solvers
Cadence’ new computational fluid dynamics (CFD) software suite claims better performance and accuracy for simulating performance of multiphysics systems.
embedded news: MCU toolchains, lifecycle management and more
The latest news from the embedded world.
AISIN extends use of Siemens Capital VSTAR for ECUs
AISIN uses the software to develop and integrate electronic control units (ECUs).
Measuring code coverage for embedded software
It is not without reason that the standards for safety-critical software development set precise requirements for test methods and test coverage. For a long time…
Renesas launches virtual development environment for automotive software
Virtual turnkey platform allows engineers to develop application software before devices or evaluation boards are available, and multicore debug and trace tool lets users analyze and evaluate software as if it were running on an actual chip.
Accelerating server-based system architecture compliance testing through emulation
System-level verification objectives raise a concern that validation might only be possible after the design and drivers are mostly fully assembled and debugged but waiting for the design to be finished before checking compliance isn’t helpful either.
Platform helps handle distributed edge apps as a single Kubernetes cluster
With Kubernetes Edge Interface (KEI), teams can interact with deployed applications as though running on a single cluster, and policy-driven controls automatically tune, shape and optimize application workloads in the background.
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