Obsolescence is one of the key elements that can increase the safety hazards for critical industrial systems. How can the software verification be maintained? Shall the developers restart testing all the code manually from scratch, or at least with the help of a recent software testing tool? Fin out the answers in this blog.
As Embedded software developers, our focus is to accelerate and improve software development in the pursuit of perfection. In the forthcoming series of articles, I will look at elements that come together to make a successful, fully tested, embedded application.
With more industries relying on complex software, and with safety standards evolving, the need for reliable dynamic test tools continues to grow.
Part of being a technology company is about producing reliable technology at a rapid pace. We cannot sacrifice code quality just to deliver slightly faster. One of the primary tools for ensuring code quality while maintaining a rapid release schedule is writing good tests.
AI development is progressing rapidly. However, this technology is still in its infancy, but it is definitely still possible to increase automation and reduce the work involved in requirements-based testing. Read this blog to find out more.
Measurement of structural coverage of code is an objective means of assessing the thoroughness of testing. There are various industry-standard metrics available for measuring structural coverage, these can be gathered easily with support from software tools. Such metrics do not constitute testing techniques, but a measure of the effectiveness of testing techniques.
Automated regression testing is at the core of continuous integration. Effective unit testing at every stage in the development creates the vital feedback to enable the team to realise the real benefits of adopting DevOps.