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Identification of Improvement Issues Using a Lightweight Triangulation Approach
Responsible organisation
2003 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

One of the challenges in requirements engineering is the ability to improve the process and establish one that is “good-enough”. The objective of this paper is to present a lightweight approach to identify process improvement issues. The approach is developed to capture both the views of different stakeholders and different sources of information. An industrial investigation from a small company is presented. In the investigation both projects and the line organization have been interviewed and documentation from them has been studied to capture key issues for improvement. The issues identified from one source are checked against other sources. The dependencies between the issues have been studied. In total nine issues for improvement of the requirements engineering work at the company were identified. It is concluded that the approach is effective in capturing issues, and that the approach helps different stakeholders to get their view represented in the process improvement work.

Place, publisher, year, edition, pages
Graz, Austria, 2003.
Keyword [en]
Requirements Engineering, Software Process Improvement, Data Triangulation, Process Evaluation.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-9997Local ID: oai:bth.se:forskinfo58A225A3524E8723C1256DBF0043E9A7OAI: oai:DiVA.org:bth-9997DiVA: diva2:838004
Conference
European Software Process Improvement Conference
Available from: 2012-09-18 Created: 2003-10-14 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(274 kB)214 downloads
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Type fulltextMimetype application/pdf

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Gorschek, TonyWohlin, Claes
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf