Abstract
While numerous software engineering methodologies exist, are well documented, and are widely used, e.g. JSD, SSADM, etc., it can be argued that none cater for the specific problems associated with re-engineering legacy, or dusty-deck, systems. This paper reports on a development environment, KATT, that enshrines a methodology which enables the development of new codes or the re-engineering of existing legacy codes. The system is designed to enable sequential codes to be translated for execution on either parallel or sequential architectures, e.g. moving Fortran 77 to a workstation cluster or translating Cobol to Java. The approach involves the encapsulation and application of re-structuring knowledge via the use of expert systems and neural networks.