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dc.contributor.authorJiang, L.
dc.contributor.authorEberlein, A.
dc.contributor.authorKrishna, Aneesh
dc.contributor.editorRob Pooley
dc.contributor.editorJennifer Coady
dc.contributor.editorChristoph Schneider
dc.contributor.editorHenry Linger
dc.contributor.editorChris Barry
dc.contributor.editorMichael Lang
dc.date.accessioned2017-01-30T10:28:34Z
dc.date.available2017-01-30T10:28:34Z
dc.date.created2014-02-13T20:00:39Z
dc.date.issued2013
dc.identifier.citationJiang, Li and Eberlein, Armin and Krishna, Aneesh. 2013. Analyzing Empirical Data in Requirements Engineering Techniques, in Pooley, R., Coady, J., Schneider, C., Linger, H., Barry, C., Lang, M. (ed), Information Systems Development - Reflections, Challenges and New Directions. pp. 357-368. USA: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3101
dc.identifier.doi10.1007/978-1-4614-4951-5
dc.description.abstract

Getting meaningful information from empirical data is a challenging task in software engineering (SE). It requires an in-depth analysis of the research problem, the data obtained and to select the most suitable data analysis methods, as well as an evaluation of the validity of the analysis result. This chapter reports research with three data analysis methods that were used to analyze a set of empirical requirements techniques data. One of the major findings is that it is possible to get better analysis results if several data analysis methods are combined. The way to examine the validity of the results is also explored.

dc.publisherSpringer
dc.titleAnalyzing Empirical Data in Requirements Engineering Techniques
dc.typeBook Chapter
dcterms.source.startPage357
dcterms.source.endPage368
dcterms.source.titleInformation Systems Development - Reflections, Challenges and New Directions
dcterms.source.isbn978146144951-5
dcterms.source.placeUSA
dcterms.source.chapter55
curtin.department
curtin.accessStatusFulltext not available


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