The construction of decision tables is a creative activity, but it contains several routine actions which are quite time-consuming. The PROLOGA (PROcedural LOgic Analyzer) system is a PC based interactive design tool for computer supported construction and manipulation of decision tables. This decision table engineering workbench incorporates powerful rule based knowledge acquisition and representation, table based verification and adequate consultation interfaces to common shells and languages.

Originally, decision tables were used to construct the logic of computer programs in a clearly arranged manner. The main interest was the efficient conversion of the table into program code, thereby leaving some important questions unanswered:
- How to construct decision tables?
- How to introduce computer support in the construction process?

With the application field of the decision table shifting away from programming and expanding into other areas with logical complexity, the conversion problem became less relevant and gradually more attention was paid to the design of methods for decision table construction
The introduction of the computer in this process, however, received very few attention. Besides some interesting developments, in most cases, the role of the system was limited to checking (or converting) ready made decision tables, while little or no support is available for the modeling process itself.

Automated decision table construction, however, offers many advantages:
- The writing and drawing can be taken over completely by the computer.
- A number of routine jobs that induce many errors when performed manually, can be automated, e.g.: filling action entries, generating the complete set of condition combinations. The same argument can be adduced for some manipulations of the decision table, such as the reordering of conditions and actions.
- Introducing a workbench in the design process provides interactive possibilities that simplify the design process, such as automatic checking for consistency, correctness and completeness.
- The system can be used for optimization purposes, such as optimal contraction, layout, decomposition into subtables or conversion into efficient code.
- Making good use of the interfacing features of decision tables to other representation formalisms, such as program code, trees, rules, is only possible through flexible computer support.