TAGGING KNOWLEDGE ACQUISITION SESSIONS TO FACILITATE KNOWLEDGE TRACEABILITY
Heather Richter, Gregory D. Abowd, Chris Miller, Harry B. Funk · International Journal of Software Engineering and Knowledge Engineering · 2004
Knowledge Acquisition (KA) is important throughout systems development for gathering expert domain knowledge that is incorporated into the requirements and design of a system. There are problems ensuring that accurate and useful knowledge is captured initially, refined as needed, and transferred to later development efforts in a usable format. We present a method, called tagging, for addressing these problems without undue burden on the KA practitioners, along with initial studies to examine the feasibility of real-time tagging and to inform the design of a tool called TAGGER. TAGGER operates by permitting KA discussions to be "tagged" as they happen with concepts and groupings relevant to software development.