Towards a metrics suite for object oriented design
OOPSLA '91 Conference proceedings on Object-oriented programming systems, languages, and applications
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design
Structured Design: Fundamentals of a Discipline of Computer Program and Systems Design
Hidden Dependencies in Program Comprehension and Change Propagation
IWPC '01 Proceedings of the 9th International Workshop on Program Comprehension
A 3D Metaphor for Software Production Visualization
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Object Oriented Metrics: Precision Tools and Configurable Visualisations
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
Visualization-based analysis of quality for large-scale software systems
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Understanding the use of inheritance with visual patterns
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Towards the visualization of software systems as 3D forests: the CodeTrees environment
Proceedings of the 27th Annual ACM Symposium on Applied Computing
MetricAttitude: a visualization tool for the reverse engineering of object oriented software
Proceedings of the International Working Conference on Advanced Visual Interfaces
Graph visualization using the metaphor of biological neural nets
Proceedings of the 27th Spring Conference on Computer Graphics
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Early detection of problems within a code base can save much effort and associated cost as time progresses. One method of performing routine assessment of code with a view to pre-emption of a decline in quality is to collect software metrics associated with code size and complexity. Despite the best efforts of the last decade to establish this type pf empirical analysis as best practice, it is not yet a standard activity in software production. One way of potentially increasing empirical analysis activity on this realm is to contemplate visualisation as a means to readily analyse either static or evolving code to perceive in real time suspected areas of risk within the code base. This paper presents a first attempt at 3D visualisation of software metrics by using a familiar metaphor to present empirical concepts.