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Building the Future: Powerful Industrial Vehicles
The term industrial vehicles covers a wide range: from vehicles for goods and warehouse handling, over machines specifically designed for farming, agriculture and forestry, to heavy construction and mining equipment. However, as different as they may be, they have one thing in common: They need to be built to last in order to be economical.
Advancements in technology, such as incorporating IoT, AI, and machine learning into industrial vehicles, are transforming the industry. These innovations enable predictive maintenance, real-time monitoring, and improved operational efficiency. However, they also present challenges: With the increase in digital technologies, manufacturers face heightened vulnerability to cyber-attacks, which can interrupt operations and jeopardize sensitive information. Moreover, meeting strict safety regulations requires ongoing updates and investments in new technologies.
To future-proof industrial vehicles, it's essential to have software that is both dependable and easy to maintain, allowing seamless adaptation to evolving demands. Our analysis and testing tools help you achieve just that.
Digging Deep Into Your Code to Unearth Hidden Issues
For heavy-duty software to operate at full capacity, you first have to make sure you have removed all obstacles. Identifying these at an early stage makes it easy to fix them and keep the code clean. High code quality not only means less resources are needed to fix issues or ensuring better test results. Software which is free of technical debt is also much easier to maintain and thus easier to update and upgrade.
To find issues such as clones, dead code, cycles or violations of coding guidelines, you sometimes need to dig deep into your code to detect them. This is best done with an automated static code analysis process, which seamlessly integrates into your existing development environment. By including static code analysis into your daily CI/DevOps process, you extent the overall life-time of your software.
Learn more about Static Code Analysis
“From a technical perspective, the Axivion Suite won us over with all of its functions for automated code and architecture verification.”
“That’s [Squish’s] selling point: regressive coverage. Once you’ve added a string of tests from a release cycle, you don’t have to go back and manually cover that again.”
“Within the first year [of using Squish], we developed enough automated tests to save our field testing guys 8 hours per build!”
