Envisioning information
Metric-driven analysis and feedback systems for enabling empirically guided software development
ICSE '91 Proceedings of the 13th international conference on Software engineering
Software measurement: a visualization toolkit for project control and process improvement
Software measurement: a visualization toolkit for project control and process improvement
Ginger2: An Environment for Computer-Aided Empirical Software Engineering
IEEE Transactions on Software Engineering
Evaluating Software Project Control Centers in Industrial Environments
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Software project control centers: concepts and approaches
Journal of Systems and Software
Implementing Software Project Control Centers: An Architectural View
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
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One means for institutionalizing project control, systematic quality assurance, and management support on the basis of measurement and explicit models is the establishment of so-called Software Project Control Centers. Nowadays many companies develop their own dashboards for project control or use off-the-shelf tools that provide a predefined functionality. It is not clear how to tailor an existing tool to the specific needs and goals. An engineering-like approach providing the methodological foundation is needed for systematically defining and applying project control mechanisms. "Soft-Pit" is a research project focusing on an improvement-oriented approach for setting up and applying project control mechanisms in a goal-oriented way and evaluating the practical benefits of such a control center. This article describes the results of industrial case studies conducted in the context of the project. Moreover, lessons learned are discussed, related work is described, and future work is presented.