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Reference details

Author(s) Year Title Reference View/Download

T.R. Hopkins , Les Hatton

2019i

Defect patterns and software metric correlations in a mature ubiquitous system

https://arxiv.org/abs/1912.04014No downloadable files available yet

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Synopsis Invited Feedback Importance (/10, author rated :-) )
Software engineering is not an empirically based discipline. Consequently, many of its practices are based on little more than a generally agreed feeling that something may be true. Part of the problem is that it is both relatively young and unusually rich in new and often competing methodologies. As a result, there is little time to infer important empirical patterns of behaviour before the technology moves on. Very occasionally an opportunity arises to study the defect growth and patterns in a well-specified software system which is also well-documented and heavily-used over a very long period. Here we analyse the defect growth and structural patterns in just such a system, a numerical library written in Fortran evolving over a period of 30 years. This is important to the wider community for two reasons. First, the results cast significant doubt on widely-held long standing language-independent beliefs and second, some of these beliefs are perpetuated in modern technologies. It therefore makes good sense to use empirical long-term data as it becomes available to re-calibrate those generalisations. Finally, we analyse the phenomenon of defect clustering providing further empirical support for its existence. None yet8

Related links

Related papers and links

https://arxiv.org/abs/1912.04014


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