Towards building a smarter domain knowledge recovery assistant

Legacy systems need to be “salvaged” to prolong their life circle. One way for such a salvation is to recover and maintain domain knowledge embedded in legacy code. It is the authors´ observation that existing methods or tools for domain knowledge recovery from source code do not provide maintainers with sufficient assistance to: (1) reduce the size of analysable program sections, (2) identify program sections having intensive domain knowledge, and (3) maintain the belief of a network of domain knowledge extracted from source code which can accommodate change of belief coming from a user. The authors introduce techniques which can provide software maintainers with smart assistance for the above-mentioned three issues