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  • 2449594

    Final published version, 174 KB, PDF-document

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.
Original languageEnglish
Title of host publicationProceedings of the 2nd Workshop on Software Engineering Methods in Spreadsheets co-located with the 37th International Conference on Software Engineering (ICSE 2015)
EditorsFelienne Hermans, Richard F. Paige, Peter Sestoft
Place of PublicationAachen
PublisherCEUR
Pages5-6
Number of pages2
StatePublished - 2015
EventSEMS 2015 - Florence, Italy
Duration: 18 May 201518 May 2015

Publication series

NameCeur Workshop Proceedings
Volume1355
ISSN (Print)1613-0073

Workshop

WorkshopSEMS 2015
CountryItaly
CityFlorence
Period18/05/1518/05/15

    Research areas

  • End-user computing, Business rule mining, Spreadsheets, Knowledge mining

ID: 2449594