Maintaining and analyzing production process definitions using a tree-based similarity measure

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Abstract

In this work a Case-Based reasoning system for managing production processes, declarative production process definitions in particular, with main focus on analysis and maintenance is introduced whereby each process task is represented by a case. A single process task definition includes among other elements, formulas, represented by fragmental program code. To get a meaningful similarity function among such cases, a new fuzzy tree edit distance metric on the formulas’ abstract syntax tree has been developed. The fuzzy tree edit distance addresses two aspects of similarity – similarity in terms of similar structure and similarity in terms of similar wording. As such, the proposed method represents a multidisciplinary approach to production process maintenance that includes methods from Case-Based reasoning and code clone detection.

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Stumptner, R., Lettner, C., Freudenthaler, B., Pichler, J., Kirchmayr, W., & Draxler, E. (2015). Maintaining and analyzing production process definitions using a tree-based similarity measure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9343, pp. 366–380). Springer Verlag. https://doi.org/10.1007/978-3-319-24586-7_25

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