Software Engineering Using design RATionale
Abstract (Summary)
For a number of years, members of the Artificial Intelligence (AI) in Design community
have studied Design Rationale (DR), the reasons behind decisions made while designing.
DR is invaluable as an aid for revising, maintaining, documenting, evaluating, and
learning the design.
The presence of DR would be especially valuable for software maintenance. The rationale
would provide insight into why the system is the way it is by giving the reasons behind the
design decisions, could help to indicate where changes might be needed during
maintenance if design goals change, and help the maintainer avoid repeating earlier
mistakes by explicitly documenting alternatives that were tried earlier that did not work.
Unfortunately, while everyone agrees that design rationale is useful, it is still not used
enough in practice. Possible reasons for this are that the uses proposed for rationale are not
compelling enough to justify the effort involved in its capture and that there are few
systems available to support rationale use and capture. We have addressed this problem by
developing and evaluating a system called SEURAT (Software Engineering Using
RATionale) which integrates with a software development environment and goes beyond
mere presentation of rationale by inferencing over it to check for completeness and
consistency in the reasoning used while a software system is being developed and
maintained.
We feel that the SEURAT system will be invaluable during development and maintenance
of software systems. During development, SEURAT will help the developers ensure that
the systems they build are complete and consistent. During maintenance, SEURAT will
provide insight into the reasons behind the choices made by the developers during design
and implementation. The benefits of DR are clear but only with appropriate tool support,
such as that provided by SEURAT, can DR live up to its full potential as an aid for
revising, maintaining, and documenting the software design and implementation.
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Bibliographical Information:
Advisor:
School:Worcester Polytechnic Institute
School Location:USA - Massachusetts
Source Type:Master's Thesis
Keywords:software engineering artificial intelligence
ISBN:
Date of Publication: