Print Email Facebook Twitter Business rule mining from spreadsheets Title Business rule mining from spreadsheets Author Roy, S. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Computer Technology Date 2015-05-18 Abstract Business rules represent the knowledge that guides the operations of a business organization. They are implemented in software applications used by organizations, and the activity of extracting them from software is known as business rule mining. It has various purposes amongst which migration and generating documentation are the most common. However, apart from conventional software, organizations also use spreadsheets for a large part of their operations and decision-making activities. Therefore we believe that spreadsheets are also rich in business rules. We thus propose to develop an automated system for extracting business rules from spreadsheets in a human comprehensible natural language format. This position paper describes our motivation, the problem description, related work, and challenges we foresee. Subject end-user computingbusiness rule miningspreadsheetsknowledge mining To reference this document use: http://resolver.tudelft.nl/uuid:b1ee8801-0825-4858-980f-d2dc39d892cd Publisher CEUR-WS ISSN 1613-0073 Source Proceedings of the 2nd Ceur Workshop 1355: Software Engineering Methods in Spreadsheets, SEMS 2015, Florence, Italy, May 18, 2015. Eds.: Hermans, F., Paige, R.F., Sestoft, P. Part of collection Institutional Repository Document type conference paper Rights (c) 2015 Roy, S. Files PDF 320012.pdf 175.28 KB Close viewer /islandora/object/uuid:b1ee8801-0825-4858-980f-d2dc39d892cd/datastream/OBJ/view