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Modeling and managing tacit product line requirements knowledge


Stoiber, R; Glinz, M (2009). Modeling and managing tacit product line requirements knowledge. In: 2nd International Workshop on Managing Requirements Engineering Knowledge (MaRK'09), Atlanta, GA, USA, 1 September 2009 - 1 September 2009.

Abstract

The success of very large product lines systems with
globally distributed stakeholders often builds significantly on the implicit knowledge of individuals. Final products are typically built by integrating numerous detailed specifications of subsystems. But how exactly all these parts can and need to be integrated to build valid end products is often left unspecified and to numerous discussions, reviews and the expertise of senior architects and product managers.
Building a high-level product line requirements model that explicitly and formally specifies common and variable requirements, their precise integration semantics and the constraints for selecting variable features helps significantly to manage this crucial and often tacit requirements knowledge. Based on an industrial exemplar we motivate and demonstrate such an approach and discuss our early findings regarding knowledge and rationale management in product line requirements engineering.

Abstract

The success of very large product lines systems with
globally distributed stakeholders often builds significantly on the implicit knowledge of individuals. Final products are typically built by integrating numerous detailed specifications of subsystems. But how exactly all these parts can and need to be integrated to build valid end products is often left unspecified and to numerous discussions, reviews and the expertise of senior architects and product managers.
Building a high-level product line requirements model that explicitly and formally specifies common and variable requirements, their precise integration semantics and the constraints for selecting variable features helps significantly to manage this crucial and often tacit requirements knowledge. Based on an industrial exemplar we motivate and demonstrate such an approach and discuss our early findings regarding knowledge and rationale management in product line requirements engineering.

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13 citations in Scopus®
17 citations in Microsoft Academic
Google Scholar™

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57 downloads since deposited on 02 Feb 2010
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:1 September 2009
Deposited On:02 Feb 2010 22:29
Last Modified:06 Aug 2018 04:36
OA Status:Green

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