🚀 go-pugleaf

          The University of Western Ontario
            Department of Computer Science

                    COLLOQUIUM

Title:   EXTRACTING PROCEDURAL KNOWLEDGE FROM SOFTWARE SYSTEMS USING
         INDUCTIVE LEARNING IN THE PM SYSTEM
Speaker: Professor Robert G. Reynold, Wayne State University,
Time:    Thursday, Oct. 15, at 2:00pm
Place:   MC 320
Abstract:
       Biggerstaff and Richter suggest that there are four fundamental
subtasks associated with implementing software reuse: finding reusable
components, understanding these components, modifying these components
for a new application,and composing components. Basili and others have
proposed similar schemes.  In the PM project each of these problems is
reexpressed as a problem in machine learning.  First, the system needs
to acquire knowledge from the user  that describes the what is done in
each phase.  This knowledge is stored in an associated knowledge base.
Second,  this knowledge is applied to new systems  in order to support
the users domain  dependent  resue activities.   The current prototype
operationalizes the first two subtasks,  the finding and understanding
of candidates for reuse.   Examples of how the system can extract such
procedural knowledge from existing resue libraries are given.