Although intensive research on software analytics has been going on for nearly a decade, a repeated complaint in software analytics is that industrial practitioners find it hard to apply the results generated from data science. This theme issue aims to reflect on actionable analytics for software engineering and to document a catalog of success stories in which analytics has been proven actionable and useful, in some significant way, in an organization. This issue features five articles covering promising analytical methods for improving change triage, strategic maintenance, and team robustness, as well as the success stories of applying analytical tools during an organizational transformation.
Yang, Y., Falessi, D., Menzies, T., Hihn, J. (2017). Actionable Analytics for Software Engineering. IEEE SOFTWARE, 35(1), 51-53 [10.1109/MS.2017.4541039].
Actionable Analytics for Software Engineering
Falessi D.;
2017-01-01
Abstract
Although intensive research on software analytics has been going on for nearly a decade, a repeated complaint in software analytics is that industrial practitioners find it hard to apply the results generated from data science. This theme issue aims to reflect on actionable analytics for software engineering and to document a catalog of success stories in which analytics has been proven actionable and useful, in some significant way, in an organization. This issue features five articles covering promising analytical methods for improving change triage, strategic maintenance, and team robustness, as well as the success stories of applying analytical tools during an organizational transformation.| File | Dimensione | Formato | |
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