Process analysis of a waterfall project using repository data
International Journal of Computers and Applications, ISSN: 1206-212X, Vol: 33, Issue: 1, Page: 49-56
2011
- 9Citations
- 6Usage
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations9
- Citation Indexes9
- CrossRef4
- Usage6
- Abstract Views6
- Captures8
- Readers8
Article Description
The study of repository data has yielded insight into the behaviour of developers and qualities of software artifacts. In this article, we use repository data to investigate the nature and quality of the development process itself. Specifically, we use repository data to identify sources of potential inefficiency and waste in process design and execution. Our analysis approach is motivated by principles of Lean product development and fills a gap in the literature for empirical process metrics. To illustrate the approach, we analyse data from a large industry project involving CMM level 3 and 4 teams in a waterfall process. Both basic and focused analyses are presented, with eight different views of progress, efficiency, and cost.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79957857404&origin=inward; http://dx.doi.org/10.2316/journal.202.2011.1.202-2986; http://www.actapress.com/PaperInfo.aspx?paperId=42241; http://www.actapress.com/PDFViewer.aspx?paperId=42241; https://nsuworks.nova.edu/gscis_facarticles/481; https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1442&context=gscis_facarticles; https://dx.doi.org/10.2316/journal.202.2011.1.202-2986; https://www.actapress.com/PaperInfo.aspx?paperId=42241
ACTA Press
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