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The Asf+Sdf Meta-environment is an interactive development environment for the automatic generation of interactive systems for constructing language definitions and generating tools for them. Over the years, this system has been used in a variety of academic and commercial projects ranging from formal program manipulation to conversion of COBOL systems. Since the existing implementation of the Meta-environment started exhibiting more and more characteristics of a legacy system, we decided to build a completely new, component-based, version. We demonstrate this new system and stress its open architecture.

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Many approaches to support (semi-automatic) identification of objects in legacy code take the data structures as starting point for candidate classes. Unfortunately, legacy data structures tend to grow over time, and may contain many unrelated fields at the time of migration. We propose a method for identifying objects by semi-automatically restructuring the legacy data structures. Issues involved include the selection of record fields of interest, the identification of procedures actually dealing with such fields, and the construction of coherent groups of fields and procedures into candidate classes. We explore the use of cluster and concept analysis for the purpose of object identification, and we illustrate their effect on a 100,000 LOC COBOL system. Furthermore, we use these results to contrast clustering with concept analysis techniques.

In order to maintain the consistency between sources and documentation, while at the same time providing documentation at the design level, it is necessary to generate documentation from sources in such a way that it can be integrated with hand-written documentation. In order to simplify the construction of documentation generators, we introduce island grammars, which only define those syntactic structures needed for (re)documentation purposes. We explain how they can be used to obtain various forms of documentation, such as data dependency diagrams for mainframe batch jobs. Moreover, we discuss how the derived information can be made available via a hypertext structure. We conclude with an industrial case study in which a 600,000 LOC COBOL legacy system is redocumented using the techniques presented in the paper.