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 language | English |
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Title of host publication | Proceedings of the 2nd Workshop on Software Engineering Methods in Spreadsheets co-located with the 37th International Conference on Software Engineering (ICSE 2015) |
Editors | Felienne Hermans, Richard F. Paige, Peter Sestoft |
Place of Publication | Aachen |
Publisher | CEUR-WS |
Pages | 5-6 |
Number of pages | 2 |
Publication status | Published - 2015 |
Event | SEMS 2015: Workshop on Software Engineering Methods in Spreadsheets - Florence, Italy Duration: 18 May 2015 → 18 May 2015 http://ceur-ws.org/ |
Publication series
Name | Ceur Workshop Proceedings |
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Volume | 1355 |
ISSN (Print) | 1613-0073 |
Workshop
Workshop | SEMS 2015 |
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Country/Territory | Italy |
City | Florence |
Period | 18/05/15 → 18/05/15 |
Internet address |
Keywords
- End-user computing
- Business rule mining
- Spreadsheets
- Knowledge mining