Business rule mining from spreadsheets

Sohon Roy

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.
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-WS
Pages5-6
Number of pages2
Publication statusPublished - 2015
EventSEMS 2015: Workshop on Software Engineering Methods in Spreadsheets - Florence, Italy
Duration: 18 May 201518 May 2015
http://ceur-ws.org/

Publication series

NameCeur Workshop Proceedings
Volume1355
ISSN (Print)1613-0073

Workshop

WorkshopSEMS 2015
Country/TerritoryItaly
CityFlorence
Period18/05/1518/05/15
Internet address

Keywords

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

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