Towards Building a Smarter Domain Knowledge Recovery Assistant1

  • Authors:
  • Yang Li;Hongji Yang;William C. Chu

  • Affiliations:
  • -;-;-

  • Venue:
  • COMPSAC '00 24th International Computer Software and Applications Conference
  • Year:
  • 2000

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Abstract

Legacy systems need to be 驴salvaged驴 to prolong their life circle. One-way for such a salvation is to recover and maintain domain knowledge embedded in legacy code. It is our observation that existing methods or tools for domain knowledge recovery from source code did not provide maintainers with sufficient assistance to reduce the size of analyzable program sections, identify program sections having intensive domain knowledge and maintain the belief of a network of domain knowledge extracted from source code which can accommodate change of belief coming from a user. In this paper, we introduce techniques, which can provide software maintainers with smart assistance for the above-mentioned three issues.