This research proposes two training-by-example classifiers that are computationally simple, do not require extensive training or tuning, ensure inclusion/ ...

To frame and ground this research, this section describes the study selection process used by EBSE researchers, the metrics used to assess the success of the ...

This research proposes two training-by-example classifiers that are computationally simple, do not require extensive training or tuning, ensure inclusion/ ...

Feb 6, 2018 · Context: Study search and selection is central to conducting Evidence Based Software Engineering (EBSE) re-.

A comparison of automated training-by-example selection algorithms for Evidence Based Software Engineering ; Journal: Information and Software Technology, 2018, ...

2019. A comparison of automated training-by-example selection algorithms for Evidence Based Software Engineering. EE Hassler, DP Hale, JE Hale. Information and ...

A Comparison of Automated Training-by-Example Selection Algorithms for Evidence-Based Software Engineering, Information and Software Technology. Hassler ...

Hale, “A comparison of automated training-by-example selection algorithms for evidence based software engineering,” Information and Software Technology, vol.

This paper compares the two different search approaches for conducting literature review studies and concludes that none of the first steps is outperforming ...

Per-instance algorithm selection also shows much promise for boosting performance in solving continuous and mixed discrete/continuous optimisation problems.