Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
AntiPatterns: refactoring software, architectures, and projects in crisis
AntiPatterns: refactoring software, architectures, and projects in crisis
Refactoring: improving the design of existing code
Refactoring: improving the design of existing code
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Software Architecture Design Patterns in Java
Software Architecture Design Patterns in Java
Detection Strategies: Metrics-Based Rules for Detecting Design Flaws
ICSM '04 Proceedings of the 20th IEEE International Conference on Software Maintenance
Recovering binary class relationships: putting icing on the UML cake
OOPSLA '04 Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
A Systematic Study of UML Class Diagram Constituents for their Abstract and Precise Recovery
APSEC '04 Proceedings of the 11th Asia-Pacific Software Engineering Conference
OOPSLA '05 Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Automatic Generation of Detection Algorithms for Design Defects
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
Co-evolving code and design with intensional views
Computer Languages, Systems and Structures
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The PTIDEJ project started in 2001 to study code generation from and identification of patterns. Since then, it has evolved into a complete reverse-engineering tool suite that includes several identification algorithms. It is a flexible tool suite that attempts to ease as much as possible the development of new identification and analysis algorithms. Recently, the module DECOR has been added to PTIDEJ and allows the detection of design defects, which are recurring design problems. In this demonstration, we particularly focus on the creation and use of identification algorithms for design patterns and defects.