Title
Managing Knowledge Throughout The Software Development Cycle Using The Cognitive Decision Aid Knowledge Acquisition Toolset (Cdakat)
Abstract
This paper describes a multi-year research and development effort for a knowledge management system. We first describe the need for communication support between Knowledge Acquisition (KA) and Software Development (SD), as motivated by our software engineering experiences, including the Rotorcraft Pilot's Associate and its utility of Cognitive Decision Aiding Systems (CDASs). Technology exists to capture knowledge; putting it into a useful, accessible format for requirements definition and later SD lags behind. This paper describes our solution: TAGGER. TAGGER enables richer communication between KA and SD by allowing 'tagging' knowledge as it is acquired, using SD - relevant terms. Tagging is done during knowledge elicitation and requires little extra effort beyond taking notes. The resulting tags facilitate later knowledge inspection, and links are carried forward even into testing and redesign.
Year
DOI
Venue
2004
10.1109/IRI.2004.1431512
PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI-2004)
Keywords
Field
DocType
software development,formal specification,formal verification,software engineering,knowledge management,decision support systems,knowledge management system
Data mining,Software engineering,Domain knowledge,Computer science,Decision support system,Requirements analysis,Software development process,Knowledge extraction,Knowledge engineering,Software development,Knowledge acquisition
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Harry Funk100.34
Christopher A. Miller233446.70
Peggy Wu3227.10
John Meisner400.34