Special Issue: Best Papers from SEKE 2003; Guest Editor: Kang ZhangNo Access

TAGGING KNOWLEDGE ACQUISITION SESSIONS TO FACILITATE KNOWLEDGE TRACEABILITY

HEATHER RICHTER

College of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA

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GREGORY ABOWD

College of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA

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CHRIS MILLER

Smart Information Flow Technologies, 2119 Oliver Avenue South, Minneapolis, MN 55405-2440, USA

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, and

HARRY FUNK

Smart Information Flow Technologies, 2119 Oliver Avenue South, Minneapolis, MN 55405-2440, USA

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https://doi.org/10.1142/S0218194004001543Cited by:7 (Source: Crossref)

Abstract

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.

Keywords:

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