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Bialgebra views: a way for polytypic programming to cohabit with data abstraction
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International Conference on Functional Programming archive
Proceedings of the ACM SIGPLAN workshop on Generic programming table of contents
Victoria, BC, Canada
SESSION: Session 3 table of contents
Pages 61-73  
Year of Publication: 2008
ISBN:978-1-60558-060-9
Authors
Pablo Nogueira  Universidad Politécnica de Madrid, Madrid, Spain
Juan José Moreno-Navarro  Universidad Politecnica de Madrid, Madrid, Spain
Sponsors
ACM: Association for Computing Machinery
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

Polytypic programming and data abstraction are important concepts in designing functional programs, but they do not fit well together. Polytypic programming currently depends on making public a free data type representation, while data abstraction depends on hiding the representation. This paper proposes the bialgebra views mechanism as a means of reconciling this conflict. Bialgebra views enable the specification of type structure according to interfaces, not representations, thus combining the genericity of polytypic programming with the information hiding of data abstraction, and narrowing the gap between generic programming in the functional and object-oriented paradigms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Pablo Nogueira: colleagues
Juan José Moreno-Navarro: colleagues