Amid uncertainties and setbacks—like the ongoing COVID-19 pandemic, the 2018 floods in India, or the impacts of the financial crisis of 2007 and 2008—many businesses struggle to quickly adapt and are often ill-prepared to maintain operations and release deadlines.
However, if you diversify your Software Testing organization, you can distribute risk across multiple teams around the world and avoid snarl-ups with Continuous Testing (CT).
One of the pioneers of the self-driving car movement was Waymo, which grew out of the Google Labs project that developed the sensors and software to provide a completely autonomous driving experience.
Testing embedded systems for cars is a daunting task. Today’s modern cars can contain up to 100 or more electronic control units (ECUs). ECUs today control essentially every major function of a car, from acceleration to braking. Furthermore, not all of the ECUs are not manufactured by the same company; thus, it may be difficult to start testing until all the components come together in a prototype car—and by that time, there might not be enough time to completely ensure that the car is ready for the road!
Building a suite of automated tests is arguably better than maintaining an army of manual testers, but it can still feel like a leap of faith—especially if this is your first attempt. According to LogiGear’s State of Software Survey Testing, only 19% of respondents were successful with Test Automation implementations the first time. Convincing key stakeholders in your organization who aren’t as knowledgeable about Software Testing and Test Automation often need the oomph of data and numbers.