> For the complete documentation index, see [llms.txt](https://docs.irs.systems/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.irs.systems/ltt/documentation/readme.md). # LTT Overview

IRS LTT GUI

The IRS LTT GUI (Life Time Tester Graphical User Interface) is a powerful graphical user interface specifically designed to manage and monitor long-term electrical tests on various electronic control units. The outstanding feature of the IRS LTT software is the parallel operation of multiple DUTs (Devices Under Test). This function allows for the simultaneous testing of multiple devices, saving time and costs while significantly increasing the efficiency of your testing processes. A typical application area of the IRS LTT software are lifetime test (LTT) systems. These systems conduct electrical endurance tests on various devices and simulate realistic environmental conditions such as temperature and humidity to evaluate the ageing process or the lifespan of the devices. A particularly common application area is the testing of automotive control units, where the devices are tested for reliability and durability under real conditions. The IRS LTT software is supplied as standard with every IRS service lifetime simulation system, but can also be purchased separately and independently of the system - for flexible and efficient use in different test environments. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.irs.systems/ltt/documentation/readme.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.