Software Testing News Sep 2022 incl. NHTSA & Tesla
With October looming, today we look back at key updates in testing from this month. Software Testing News Sep 2022 features an article on more efficient modelling to test software updates from the University of Texas at Arlington. We then move on to a piece about Tesla adding crash test code into vehicle software. Finally, we look at the most common software bugs discovered during testing in 2022.
UTA Seeks to reduce testing times
This article is on valuable work from the Computer Science and Engineering (CSE) Department at UTA.
The University of Texas at Arlington received a 3-year, $490,000 grant to explore testing software updates without testing unchanged parts of the code. The grant from the National Science Foundation allowed Allison Sullivan, assistant professor in the CSE, to carry out the work. She will use modelling software called Alloy to focus on 3 ways of interacting with a model: Writing, testing and synthesizing.
The objective? To simply run a model on a specific change, potentially reducing testing time from several hours overnight to around 1 hour.
Did Tesla add code into its software?
The National Highway Traffic Safety Administration (NHTSA) is looking into the reports. The codes may relate to crash testing with auto safety agencies. Speculation on this was triggered when a Tesla software decoder named green took to Twitter:
Most common bugs found in 2022
Robotics & Automation News published this piece on the year’s most common bugs just yesterday.
The article is well worth a read, with the most common errors found during testing in 2022 as follows:
- Incorrect / incomplete functionality
- Performance issues
- Security issues
- User interface problems
- Compatibility issues
- Loss of data
- Memory leakage
That is all for ‘Software Testing News Sep 2022’ – what do you think of our latest selection? If you feel that we missed something crucial, then we’d love to know more. You can also get in touch with our software testing experts if you are looking to outsource your QA.