The DiSTI Corporation, an HMI software development and solutions provider, released GL Studio 8.2, an anticipated update to its software tool. DiSTI engineers dedicated approximately 18 months to the updated release, which contains a wide variety of awaited quality-of-life improvements and enhancements. GL Studio 8.2 introduces a GUI Testing Framework, reintroduces iOS platform support, adds Best Practice Videos, improves support for 4K monitors, and introduces a new core tutorial for users to gain development tips and insights.

“Our mission is to continue streamlining the development process for our users and empower them with technology that future-proofs their products,” stated Linda Flannery, Engineering Manager for GL Studio. “At DiSTI, we understand the unique needs of our customers including the importance of having a rapid iterative workflow. GL Studio 8.2 also makes it easier to onboard users, to start developing immediately, and to automate testing.”

GL Studio software updates allow users to write automated tests against their GL Studio designs, guaranteeing correctness and reliability. To empower users, all Best Practice pages, including each workflow guide section, now contain in-depth companion training videos covering various GL Studio concepts.

GL Studio 8.2 reintroduces iOS platform support, after macOS support was introduced in GL Studio 8.0. MacOS users can deploy GL Studio content to iOS using the iOS Deployment. The iOS platform support is now available as a One Touch deployment when running the editor on macOS. This updated iOS support allows automotive customers to develop content for both Android and iOS targets in vehicles.

The revamped GUI Testing Framework provides a new feature in the editor to write automated tests against GL Studio applications, allowing for simulated mouse/keyboard input, screenshot capture/comparison at each design iteration step. Compatible with all Desktop and ES deployments, it can drive tests over the network, allowing testing for GL Studio applications running on embedded targets. This new approach allows for automated regression testing of GL Studio content running in a trainer or simulator.