Supporting dataset for tertiary study on source code metrics
<p>The dataset includes search results (SearchResultsFromScopusIEEEACM June23.xlsx) and compiled results from the included secondary studies (Extracted Data For Tertiary Study June23 15 SS.xlsx). </p> <p>Search results description: Please use Figure 1 from paper to trace the data made available. The excel file contains the following data</p> <p>1) validation set of studies used to quasi-gold standard validation of search string. </p> <p>2) known set of papers used to formulate the search string</p> <p>3) search results from databased Scopus, IEEE, and ACM</p> <p>4) secondary studies from tertiary study on code smells by Lacerda et al.</p> <p>5) Combined results from all sources</p> <p>6) papers removed after duplicates removal</p> <p>7) Preliminary search results</p> <p>8) Search Strings used for Scopus, IEEE, ACM</p> <p>Extracted Data Description: Extracted data contains the following:</p> <p>1) meta data and characteristics of secondary studies (title, author, year of publication)</p> <p>2) Raw data on evidence on maintainability, reliability and security from included set of studies</p> <p>3) compiled data on evidence on maintainability, reliability and security from included set of studies </p> <p>4) Description of prediction models used</p> <p>5) Description of source code metrics</p> <p>6) Secondary studies that used metrics but reported no evidence and secondary studies removed due to low DARE score</p> <p>7) Quality assessment score of included secondary studies</p> <p>8) Quality assessment questions for (additional quality assessment score)AQAS</p> <p> </p> <p> </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
- 16
- Reuse readiness
- 8
- Engagement
- 4