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On the Design of a Knowledge Management System for Incremental Process Improvement for Software Product Management

On the Design of a Knowledge Management System for Incremental Process Improvement for Software Product Management

Kevin Vlaanderen, Sjaak Brinkkemper, Inge van de Weerd
Copyright: © 2012 |Volume: 3 |Issue: 4 |Pages: 21
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781466612723|DOI: 10.4018/jismd.2012100103
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MLA

Vlaanderen, Kevin, et al. "On the Design of a Knowledge Management System for Incremental Process Improvement for Software Product Management." IJISMD vol.3, no.4 2012: pp.46-66. http://doi.org/10.4018/jismd.2012100103

APA

Vlaanderen, K., Brinkkemper, S., & van de Weerd, I. (2012). On the Design of a Knowledge Management System for Incremental Process Improvement for Software Product Management. International Journal of Information System Modeling and Design (IJISMD), 3(4), 46-66. http://doi.org/10.4018/jismd.2012100103

Chicago

Vlaanderen, Kevin, Sjaak Brinkkemper, and Inge van de Weerd. "On the Design of a Knowledge Management System for Incremental Process Improvement for Software Product Management," International Journal of Information System Modeling and Design (IJISMD) 3, no.4: 46-66. http://doi.org/10.4018/jismd.2012100103

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Abstract

Incremental software process improvement deals with the challenges of step-wise process improvement in a time where resources are scarce and many organizations are struggling with the challenges of effective management of software products. Effective knowledge sharing and incremental approaches are essential for improving the success rate of process improvement efforts. Recently, the authors’ have worked on the development of a knowledge management system, the Online Method Engine, that enables incremental, situational process improvement in the field of software product management. This has resulted in an initial system design. The authors describe the findings from seven exploratory case studies on incremental process improvement. The lessons learned during these case studies are used to refine the design of the Online Method Engine.

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