Improving an industrial reference process by information flow analysis: A case study

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Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement
Subtitle of host publication8th International Conference, PROFES 2007, Proceedings
PublisherSpringer Verlag
Pages147-159
Number of pages13
ISBN (print)3540734597, 9783540734598
Publication statusPublished - 2007
Event8th International Conference on Product-Focused Software Process Improvement, PROFES 2007 - Riga, Latvia
Duration: 2 Jul 20074 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4589 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

Reference processes are supposed to be the basis for collaboration and mature cooperation in software development. Large business organizations need large and diverse reference processes. However, process conformance is a constant concern. There are many explanations why a project may deviate from its reference process. This is especially true in larger software companies with a lot of different projects and variants modeled in a single reference process. During an industrial cooperation we have identified a phenomenon that adds to the problem: Unclear and incorrect information flows. Process modeling notations and practices in many large organizations nurture information flow anomalies. We improved the information flows in the reference software process by means of information flow analysis and flow patterns. A comprehensible reference process with reasonable information flows is easier to understand and therefore gains acceptance in the project team.

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Cite this

Improving an industrial reference process by information flow analysis: A case study. / Stapel, Kai; Schneider, Kurt; Lübke, Daniel et al.
Product-Focused Software Process Improvement : 8th International Conference, PROFES 2007, Proceedings. Springer Verlag, 2007. p. 147-159 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4589 LNCS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Stapel, K, Schneider, K, Lübke, D & Flohr, T 2007, Improving an industrial reference process by information flow analysis: A case study. in Product-Focused Software Process Improvement : 8th International Conference, PROFES 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4589 LNCS, Springer Verlag, pp. 147-159, 8th International Conference on Product-Focused Software Process Improvement, PROFES 2007, Riga, Latvia, 2 Jul 2007. https://doi.org/10.1007/978-3-540-73460-4_15
Stapel, K., Schneider, K., Lübke, D., & Flohr, T. (2007). Improving an industrial reference process by information flow analysis: A case study. In Product-Focused Software Process Improvement : 8th International Conference, PROFES 2007, Proceedings (pp. 147-159). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4589 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-73460-4_15
Stapel K, Schneider K, Lübke D, Flohr T. Improving an industrial reference process by information flow analysis: A case study. In Product-Focused Software Process Improvement : 8th International Conference, PROFES 2007, Proceedings. Springer Verlag. 2007. p. 147-159. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-73460-4_15
Stapel, Kai ; Schneider, Kurt ; Lübke, Daniel et al. / Improving an industrial reference process by information flow analysis : A case study. Product-Focused Software Process Improvement : 8th International Conference, PROFES 2007, Proceedings. Springer Verlag, 2007. pp. 147-159 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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