The ANDATA Spring Release 2022 presents, as usual, the latest developments in performance and stability for all our tools. In addition, Stipulator now supports multiple sources for each case through its user interface and Expectator is furnished with a now fully integrated interface for post processing functions to be run after a plausibility check. [...]
In the last few years several new toolboxes and functions have been added to the ANDATA software. With the forthcoming release, these are going to be consolidated and newly bundled, in order to attain better clarity over the different functions.
One of ANDATA's core competences is the scenario management for the development and validation of control algorithms for cooperative, connected, automated driving and traffic automation. The following table lists the different ANDATA tools and their tasks within the scenario management according the given definitions...
On December 9, 2021, the CVE-2021-44228 vulnerability in the Apache Log4j Java logging library was disclosed, affecting all Log4j2 versions prior to 2.15.0. ANDATA promptly conducted a code base assessment for all applications.
CVE-2021-44228 relates to Log4j2 in specific version ranges. Our applications are based on MATLAB. MATLAB does not include Log4j2 until V2021a, but it does include the previous version Log4j, which is not affected by CVE-2021-44228.
Thus, our applications are not affected by CVE-2021-44228 in any version shipped to date.
The ANDATA Fall Release 2021 improves stability and performance on our core tools. Many bugs have been fixed as well as feature requests and improvements from our customers have been heard and addressed. [...]
The ANDATA Midsummer Release 2021 is focused on two main topics: increasing computation speed in Brainer post processing and bringing forward support for multiple source files per case in Stipulator. [...]
Based on the developments in the field of failure prediction with CoMModO, ANDATA is introducing a further, new, radical innovation in the successful application of Artificial Intelligence (AI): AI-based, automated structural analysis in the post-processing of Finite Element simulations and its integration into Simulation Data Management Systems. This blog describes the basic motivations and ideas behind it.