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Improving Traceability in Distributed Collaborative Software Development : A Design Science Approach - New

By: (Author) Tobias Hildenbrand

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Ksh 13,000.00

Format: Paperback / Softback

ISBN-10: 3631584741

ISBN-13: 9783631584743

Edition: New

Series: Informationstechnologie und Oekonomie

Publisher: Peter Lang AG

Imprint: Peter Lang AG

Country of Manufacture: DE

Country of Publication: GB

Publication Date: Oct 31st, 2008

Print length: 384 Pages

Weight: 532 grams

Dimensions (height x width x thickness): 15.00 x 21.00 x 2.30 cms

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Due to increasing global demand for software applications, the fundamental question of how to develop software collaboratively and most efficiently on a global scale is raised. Today, especially managing requirements traceability from elicitation to implementation constitutes a major issue. Therefore, this work aims at managing traces between different kinds of artifacts and stakeholders more effectively and efficiently in distributed collaborative software development environments. The overall contribution involves designing a novel solution approach, including conceptual, methodological, and tool-based components. Its applicability and utility are evaluated both analytically and empirically, eventually in the form of an experimental setting with 17 replicated development teams.
Due to increasing global demand for software applications, the fundamental question of how to develop software collaboratively and most efficiently on a global scale is raised. Today, especially managing requirements traceability from elicitation to implementation constitutes a major issue. Therefore, this work aims at managing traces between different kinds of artifacts and stakeholders more effectively and efficiently in distributed collaborative software development environments. The overall contribution involves designing a novel solution approach, including conceptual, methodological, and tool-based components. Its applicability and utility are evaluated both analytically and empirically, eventually in the form of an experimental setting with 17 replicated development teams.

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