A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
ICSE '94 Proceedings of the 16th international conference on Software engineering
Refactoring: improving the design of existing code
Refactoring: improving the design of existing code
Software maintenance and evolution: a roadmap
Proceedings of the Conference on The Future of Software Engineering
Design and use of software architectures: adopting and evolving a product-line approach
Design and use of software architectures: adopting and evolving a product-line approach
Does Code Decay? Assessing the Evidence from Change Management Data
IEEE Transactions on Software Engineering
Modeling Development Effort in Object-Oriented Systems Using Design Properties
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Design erosion: problems and causes
Journal of Systems and Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Metrics and Laws of Software Evolution - The Nineties View
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
Polymetric Views-A Lightweight Visual Approach to Reverse Engineering
IEEE Transactions on Software Engineering
A non-invasive approach to product metrics collection
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: AGILE methodologies for software production
Lagrein: Visualizing User Requirements and Development Effort
ICPC '07 Proceedings of the 15th IEEE International Conference on Program Comprehension
UsabML: formalising the exchange of usability findings
Proceedings of the 2nd ACM SIGCHI symposium on Engineering interactive computing systems
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Software evolution plays a key role in the overall lifecycle of a software system. In this phase, software developers extend the capabilities and functionality of the system to meet new user requirements. However, the maintenance process could rapidly lead to phenomena of "source code deterioration". The possibility to early detect bad software evolution patterns represents a paramount opportunity to keep the application maintainable. In this paper we propose a combined visualization to identify software evolution patterns related to user requirements. Such visualization consists in showing the evolution metrics of a software system together with the implementation of its requirements. We also show some examples on how this visualization could help to identify some "common" evolution patterns.