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Prism

Prism is Research in Software Modularization. Prism. pattern recognition for aspect mining. Charles Zhang and Hans-Arno Jacobsen University of Toronto {czhang, jacobsen}@eecg.toronto.edu. Transforming Legacy Systems Using AOP tools. Aspect discovery/mining. Prism. Aspect footprints.

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Prism

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  1. Prism is Research in Software Modularization Prism pattern recognition for aspect mining Charles Zhang and Hans-Arno Jacobsen University of Toronto {czhang, jacobsen}@eecg.toronto.edu eTX Workshop OOPSLA 2003

  2. Transforming Legacy Systems Using AOP tools Aspect discovery/mining Prism Aspect footprints Aspect Refactoring AJDT Re-factored Aspects Code-level Verification ARV Over or under refactoring Functional Verification Verified Aspects Unit/Regression Testing Tool eTX Workshop OOPSLA 2003

  3. What is Prism? • Goal: A platform discovers aspects in very large systems composed in a variety of languages. Consists of both backend engine and user interface. • Core: A framework supports arbitrary language patterns and different pattern matching algorithms. • Language pattern: • Lexical pattern: regular expressions • Usage of types: where is my typeA? • Execution flow: where are my actions? eTX Workshop OOPSLA 2003

  4. Prism Architecture: A set of extension points • Prism fingerprint: A pattern definition specified by the user. • Prism footprint: A encapsulation of the location information of a particular fingerprint. • Prism task: A customizable assembly of Prism fingerprints which represents a more complex pattern. • Prism algorithm: An algorithm responsible for matching a particular pattern and generating the associated footprint. Prism fingerprint Prism footprint Prism Engine Prism Task 1 Prism Algorithm Prism fingerprint Prism footprint eTX Workshop OOPSLA 2003 Prism Task 2

  5. Prism Eclipse Plug-in Prism footprints Prism tasks Fingerprints Projects Java Editor eTX Workshop OOPSLA 2003

  6. Configuring a Prism Fingerprint • A Prism fingerprint consists of any combinations of lexical patterns and type patterns. • Examples of type pattern: • Referencing all types in a particular package. All types in package: org.omg.CORBA • Referencing all methods of any class type: All call sites for all methods of class: org.omg.CORBA.Any • AspectJ joinpoint definitions. • Examples of lexical pattern: • Regular expressions eTX Workshop OOPSLA 2003

  7. Prism Fingerprint Configuration Fingerprint name Type pattern listing Type browser Regular expression listing eTX Workshop OOPSLA 2003

  8. Prism Footprint • Results of matching fingerprints in the source code. • Example: A fingerprint defined as “any method defined in the ‘class java.util.Hashtable’, of which the name starts by ‘get’ ” has the following footprints. eTX Workshop OOPSLA 2003

  9. Prism Framework: Decomposition Units and Fingerprints • The decomposition unit hierarchy. • The implementation of fingerprints and its associated footprints eTX Workshop OOPSLA 2003

  10. Prism Framework: Prism Algorithms eTX Workshop OOPSLA 2003

  11. Prism Framework: Task Execution eTX Workshop OOPSLA 2003

  12. Callex Extension of Prism Framework • Callex stands for call and lexical pattern based aspect analysis eTX Workshop OOPSLA 2003

  13. Logical Mining Architecture User interaction Source code Results Indexing, type and structure analyzer Aspect Miner Intermediate representation eTX Workshop OOPSLA 2003

  14. Sample Mining Results • Sizes of the target systems minded • Degree of scattering eTX Workshop OOPSLA 2003

  15. Other Project(s) Building on Prism eTX Workshop OOPSLA 2003

  16. ARV, A Prism Implementation Declare Warning Effective joinpoints ARV is Aspect Refactoring Verifier Prism Fingerprint Prism Fingerprint Prism Task Prism Task Prism Footprints ARV Extension Prism Algorithms Prism Engine eTX Workshop OOPSLA 2003

  17. Goals Achieved To Date • Complete GUI integration with Eclipse. Provides the Eclipse aspect mining perspective. • Enable search of calling patterns defined at package level, class level, and method level. Supports the AspectJ call pattern convention. • Supports navigation between mining results and source locations. • Supports quantification of type usage scattering through computing degree of scattering as well as scattering ranking. eTX Workshop OOPSLA 2003

  18. Goals Achieved To Date • Packaged as Eclipse plug-in • Managed in CVS source tree • Short user manual (targets aspect-aware developers) • Short technical communication about Prism (unpublished) • Poster and demos at eTX/ICSE 2003, eTX/OOPSLA 2003, CASCON 2003 • Intention to submit as demo proposal to AOSD 2004 eTX Workshop OOPSLA 2003

  19. Future Work • Mining of multiple languages (e.g., C++). • Support finding patterns based on language phrases. Enable mining aspects based on their control/data flow characteristics. • Analysis of conditional variables. Find non-localized slices caused by conditionals as candidates of aspects. • Aspect mining algorithms based on statistical learning and data mining techniques. eTX Workshop OOPSLA 2003

  20. References Charles Zhang and Hans-Arno Jacobsen, Quantifying Aspects in Middleware Systems. AOSD 2003. Charles Zhang and Hans-Arno Jacobsen, Re-factoring Middleware Systems: A case study. DOA Charles Zhang and Hans-Arno Jacobsen, Re-factoring Middleware with Aspects, IEEE TPDS. eTX Workshop OOPSLA 2003

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