A Quality Analysis Procedure for Request Data of ERP Systems

Michael Felderer (), Emir Tanriverdi (), Sarah Löw () and Ruth Breu ()
Additional contact information
Michael Felderer: University of Innsbruck
Emir Tanriverdi: University of Innsbruck
Sarah Löw: University of Innsbruck
Ruth Breu: University of Innsbruck

A chapter in Innovation and Future of Enterprise Information Systems, 2013, pp 235-249 from Springer

Abstract: Abstract Request data is a valuable source for the release planning and request management of Enterprise Resource Planning systems. As a prerequisite the request data has to be analyzed to check its quality and to identify correlations. In this paper we propose a quality analysis approach for ERP request data and apply it in an industrial case study.

Keywords: Enterprise resource planning; Data quality; Software quality; Requirements engineering; Software metrics (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-642-37021-2_18

Ordering information: This item can be ordered from
http://www.springer.com/9783642370212

DOI: 10.1007/978-3-642-37021-2_18

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().