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
Provence: A Process Visualisation and Enactment Environment
ESEC '93 Proceedings of the 4th European Software Engineering Conference 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
Lean management of software processes and factories using business process modeling techniques
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
Hi-index | 0.00 |
Software Cockpits, also known as Software Project Control Centers, support the management and controlling of software and system development projects and provide means for quantitative measurement-based project control. Currently, many companies are developing simple control dashboards that are mainly based on Spreadsheet applications. Alternatively, they use solutions providing a fixed set of project control functionality that cannot be sufficiently customized to their specific needs and goals. Specula is a systematic approach for defining reusable, customizable control components and instantiate them according to different organizational goals and characteristics based on the Quality Improvement Paradigm (QIP) and GQM. This article gives an overview of the Specula approach, including the basic conceptual model, goal-oriented measurement, and the composition of control components based on explicitly stated measurement goals. Related approaches are discussed and the use of Specula as part of industrial case studies is described.