Volume 3 Number 2 (Feb. 2008)
Home > Archive > 2008 > Volume 3 Number 2 (Feb. 2008) >
JSW 2008 Vol.3(2): 69-82
doi: 10.4304/jsw.3.2.69-82

Collaborative Product Configuration: Formalization and Efficient Algorithms for Dependency Analysis

Marcílio Mendonça 1 , Donald Cowan 1 , William Malyk 1 , Toacy Oliveira 2

  • 1 David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada
  • 2 Departamento de Informática, PUC-RS, Rio Grande do Sul, RS, Brazil

Abstract

In the Software Product Line approach, product configuration is a key activity in which stakeholders choose features for a product. This activity is critical in the sense that careless feature selections might lead to undesirable products. Even though product configuration is seen as a team activity in which divergent interests and views are merged into a single consistent product specification, current configuration technology is essentially single-userbased. This configuration approach can be error-prone and time-consuming as it usually requires numerous interactions between the product manager and the stakeholders to resolve decision conflicts. To tackle this problem we have proposed an approach called “Collaborative Product Configuration” (CPC). In this paper, we extend the CPC approach by providing efficient dependency analysis algorithms to support the validation of workflow-based descriptions called CPC plans. In addition, we add to previous work by providing a formal description of the approach’s concepts, an augmented illustrated example, and a discussion covering several prototype tools now available.

Keywords

  • Software Product Lines
  • Collaborative Pr
jsw0302-08

How to Cite

Copied

Marcílio Mendonça, Donald Cowan, William Malyk, and Toacy Oliveira, "Collaborative Product Configuration: Formalization and Efficient Algorithms for Dependency Analysis," Journal of Software, vol. 3, no. 2, pp. 69-82, 2008. https://doi.org/ 10.4304/jsw.3.2.69-82

Copyright & License

Copyright © 2008 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

  • Aug 27, 2026 News!

    Vol 21, No 1 has been published with online version

  • Mar 30, 2026 News!

    Vol 20, No 2 has been published with online version   [Click]

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Mar 07, 2025 News!

    JSW had implemented online submission system   [Click]