Evolution of Object Oriented Coupling Metrics: A Sampling of 25 - PowerPoint PPT Presentation

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Ana Nicolaescu (Dragomir) Horst Lichter Yi Xu 16.05.2015 Evolution of Object Oriented Coupling Metrics: A Sampling of 25 Years of Research Motivation & Problem Statement We need to reduce complexity and increase maintainability

Ana Nicolaescu (Dragomir) Horst Lichter Yi Xu 16.05.2015 Evolution of Object Oriented Coupling Metrics: A Sampling of 25 Years of Research
Motivation & Problem Statement “We need to reduce complexity and increase maintainability” But…what metrics do we have to quantify these?
Motivation 10625 results from IEEE Xplore 247 results from ACM 27300 results from Google Scholar 42510 results from Science Direct
Results Cognitive Coupling Coupling for Security > 2010 Conceptual Coupling Coupling for Component Identification Static vs. Dynamic? Dynamic Metrics Case Studies 2000 - 2010 Arisholm (Fault proneness, Maintainability) CK Meta-Models Mood Frameworks 1990 - 2000 R. Martin Briand Taxonomies
Final Remarks & Discussion How to select the right coupling metrics? Which are the “best” ones for a given context? An index of metrics is still missing! The technology evolved…and so did the coupling (?) Do we need more research? Are we measuring coupling from the ivory tower? Are OO coupling metrics used in the industry? (not really, according to our experience)

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