Lessons learned in applying formal concept analysis to reverse engineering
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ArticleSeries: ^p Datos electrónicos (1 archivo : 336 KB)Publication details: ref_localidad@37940 : , 2005Subject(s): Online resources: Summary: A key difficulty in the maintenance and evolution of complex software systems is to recognize and understand the implicit dependencies that define contracts that must be respected by changes to the software. Formal Concept Analysis is a well-established technique for identifying groups of elements with common sets of properties. We have successfully applied FCA to complex software systems in order to automatically discover a variety of different kinds of implicit, recurring sets of dependencies amongst design artifacts. In this paper we describe our approach, outline three case studies, and draw various lessons from our experiences. In particular, we discuss how our approach is applied iteratively in order to draw the maximum benefit offered by FCA.
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Biblioteca Fac.Informática | A0037 (Browse shelf(Opens below)) | Available | DIF-A0037 |
Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.) -- Disponible también en línea (Cons. 10-03-2008)
A key difficulty in the maintenance and evolution of complex software systems is to recognize and understand the implicit dependencies that define contracts that must be respected by changes to the software. Formal Concept Analysis is a well-established technique for identifying groups of elements with common sets of properties. We have successfully applied FCA to complex software systems in order to automatically discover a variety of different kinds of implicit, recurring sets of dependencies amongst design artifacts. In this paper we describe our approach, outline three case studies, and draw various lessons from our experiences. In particular, we discuss how our approach is applied iteratively in order to draw the maximum benefit offered by FCA.
Proceedings of ICFCA ’05 (3rd International Conference on Formal Concept Analysis), volume 3403 of LNAI (Lecture Notes in Artificial Intelligence), 95–112, Springer Verlag, February 2005.
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