ReqSuite® 2.4 offers the following new features and functions
Quality and Duplicate Control
In order to further improve the quality assurance of requirements, we have integrated a linguistic quality check in the new version. This check is able to identify incomplete or misleadingly formulated requirements. By adding an additional duplicate checker, duplicates and even contradictions in the requirements can be detected and corrected more easily.
ReqSuite® users can now be informed about events such as changes to (their) requirements or the assignment of new tasks by e-mail. This feature can be switched on and off by the users themselves.
In ReqSuite® 2.4 values of numerical requirement attributes (such as costs, priorities, etc.) can be automatically calculated on the basis of other attribute values. This allows you to use automated prioritization procedures, for example, or to sum up implementation efforts and compare them with planned values. With this important feature, ReqSuite® gets closer to the goal of a requirements-based project software.
The dashboard introduced in the previous version has been enriched with analysis functions for measuring retention periods in individual states. This enables you to derive reliable empirical values about the efficiency in different work steps.
ReqSuite® 2.4 offers the ability to work on a multiple requirements simultaneously. For example, if you want to change the status of some requirements with a single click, you can do this with no longer need to edit them individually.
Export to Projects
From now on, you can not only import requirements from a reuse basis into a project, but also export requirements from a project to another. This offers, for example, the possibility to build up a reuse basis successively from projects, or to quicky set up projects for detailling high-level requirements from programs or portfolios.
The performance of ReqSuite® has been further optimized in this version. The loading strategy has been adapted in such a way that there are no longer any noticeable delays even with large amounts of data.