The user environment can be customized to show a subset of all available tabs.  Individual tabs can be turned on or off and several pre-defined profiles are defined out of the box.  Now you can set the interface to only see the tabs you frequently use.

Modified Extensible Lattice Sequence is a new space filling method for design of experiments.  Extensibility means it can be used to add runs to an existing DOE.  This should encourage an incremental approach to DOE because additional runs can be added if the initial set is determined to be insufficient.

Fractional Factorial design of experiments has been re-formulated to be based on the desired user resolution.  Instead of picking a design matrix, the user now inputs the resolution and a run matrix is automatically generated to match the problem.  This more logical workflow will improve usability and increase confidence in DOE results.

The ARSM optimizer can take advantage of multi-execute.  Furthermore, the iteration histories of ARSM are redefined to be more consistent with the rest of HyperStudy.  These optional features improve the usability of ARSM and make it work more efficiently on modern computing systems.

The parallel coordinate plot is enhanced to support multiple data filtering windows.  Filters can be drawn on the plot or controlled with precision via direct input tables.  This tool makes understanding trends in complex data sets a much easier task.

Models which depend on multiple files can now be explicitly defined.  Static references to files on disk or dynamic links to solver results can be created.  This improves portability of complex models and introduced the ability to link models based on the output file of one model as an input to another model.

This new model type can be used to drive a process without having to write an input file, such as a parameterized file.  This specialized utility-like model type can be used in modular workflows and to reduce the frequency of one-time scripts.