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Making Tacit Requirements Explict 1  Lancaster University 2  The Open University Gacitua, R. 1 , Ma, L. 2 , Nuseibeh, B. 2 , Piwek, P. 2 , de Roeck, A. 2 , Rouncefield, M. 1 , Sawyer, P. 1 , Willis, A. 2  and Yang, H. 2
Tacit knowledge ,[object Object],Tacit knowledge Explicit knowledge ,[object Object],[object Object],Not articulated Articulated Externalisation (Nonaka, Takeuchi and Umemoto )
Tacit Knowledge in RE ,[object Object],[object Object],[object Object]
Tacit Knowledge in RE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],† Maiden, N, Rugg, G.:  AC RE: selecting methods for requirements acquisition, Software Engineering Journal, 11 (3) May 1996.
Tacit Knowledge in RE Maybe because  stakehodlers share  cognitive TK Maybe because  developers worked  in this domain before Maybe because  the analysts are creative Problem  domain Req.  spec n . Development Analysts Stakeholders Developers
Requirements discoverable. Requirements discovered. Stakeholder Semi-tacit Explicit Requirements discoverable. Requirements discoverable with difficulty. Requirements not discoverable. Tacit Analyst Knows domain New to domain Traditional techniques - e.g. interviews ,[object Object],[object Object],[object Object],Discovery Active techniques - e.g. use cases, goal workshops, prototyping, modeling
Tracing requirements provenance ,[object Object],[object Object],[object Object]
PROSPECT
Unprovenanced requirements
Where do unprovenanced requirements come from? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],?
Concept identification with OntoLancs - the outer cycle ,[object Object]
Concept identification with OntoLancs - the inner cycle ,[object Object]
OntoLancs example
Presupposition Analysis
Conclusions ,[object Object],[object Object],[object Object]

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05 Making Tacit Requirements Explicit