Maintaining and analyzing production process definitions using a tree-based similarity measure
|R. Stumptner, C. Lettner, B. Freudenthaler, J. Pichler, W. Kirchmayr, E. Traxler. Maintaining and analyzing production process definitions using a tree-based similarity measure. volume 9343, pages 366-380, DOI 10.1007/978-3-319-24586-7_25, 9, 2015.|
|Buch||Case-Based Reasoning Research and Development - Proc. ICCBR 2015|
|Serie||Lecture Notes in Artificial Intelligence|
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.