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Data for Applying Old Knowledge in Primary Study Selection

<p>Three data sets (Hall, Wahono, Danijel) generated from existing systematic literature review publications.</p> <p>Hall.csv is generated from Hall, et al., "A systematic literature review on fault prediction performance in software engineering", 2012.</p> <p>Wahono.csv is generated from Wahono, et al., "A systematic literature review of software defect prediction: research trends, datasets, methods and frameworks", 2015.</p> <p>Danijel.csv is generated from Radjenović, et al., "Software fault prediction metrics: A systematic literature review", 2013.</p> <p>Each data set has two subset, which are derived from the original set by publication years. E.g. Hall2007-.csv contains examples in Hall.csv published before and in 2007, while Hall2007+.csv contains examples published after 2007.</p> <p>These data sets are used in our the newly submitted paper: "Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?".</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
February 12, 2017
License
cc-by-4.0
DOI
10.5281/zenodo.290670

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