Show simple item record

dc.contributor.authorJiang, L.
dc.contributor.authorEberlein, A.
dc.contributor.authorKrishna, Aneesh
dc.identifier.citationJiang, L. and Eberlein, A. and Krishna, A. 2013. Analyzing Empirical Data in Requirements Engineering Techniques. In Information Systems Development, 357-368. New York.

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.titleAnalyzing Empirical Data in Requirements Engineering Techniques
dc.typeBook Chapter
dcterms.source.titleInformation Systems Development
dcterms.source.placeNew York
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record