Improved metrics handling in SonarQube for software quality monitoring
Advances in Intelligent Systems and Computing, ISSN: 2194-5357, Vol: 474, Page: 463-470
2016
- 23Citations
- 18Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
SonarQube platform is an open source initiative with the goal of assessing the quality of the software projects. Currently, contributors have focused on providing source code analysis functions essentially for Java-based projects. However, in certain domains Java is not the predominant language such as critical software projects in transport, avionics, or medical systems. This paper presents how to provide plugins to enhance the current capabilities of the platform in order to include coding rules analysis results from external tools; the platform is then enriched with the results of external tools.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84975482237&origin=inward; http://dx.doi.org/10.1007/978-3-319-40162-1_50; http://link.springer.com/10.1007/978-3-319-40162-1_50; http://link.springer.com/content/pdf/10.1007/978-3-319-40162-1_50; https://dx.doi.org/10.1007/978-3-319-40162-1_50; https://link.springer.com/chapter/10.1007/978-3-319-40162-1_50
Springer Science and Business Media LLC
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