Supporting the evolution of free and open source software distributions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 8166 LNCS, Page: 56-63
2013
- 4Captures
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.
Metrics Details
- Captures4
- Readers4
Conference Paper Description
This paper overviews Mancoosi, an European project in the 7th Research Framework Programme (FP7) of the European Commission, on managing software complexity. The focus of the project has been on managing the evolution of Free and Open Source Software distributions. Evolution of these distributions is realized through the upgrade, the addition, and the removal of software packages. The project has two main objectives: (i) develop a model-based approach to safely support the upgrade of FOSS systems, (ii) develop better algorithms and tools to plan upgrade paths based on various information sources about software packages and on optimization criteria. The paper focuses on the first objective of the project. The main result of this objective is an approach that promotes the simulation of upgrades to predict failures before affecting the real system. Both fine-grained static aspects (e.g., configuration incoherences) and dynamic aspects (e.g., the execution of configuration scripts) are taken into account, improving over the state of the art of package managers. © 2013 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84885802927&origin=inward; http://dx.doi.org/10.1007/978-3-642-40894-6_5; http://link.springer.com/10.1007/978-3-642-40894-6_5; http://link.springer.com/content/pdf/10.1007/978-3-642-40894-6_5; https://dx.doi.org/10.1007/978-3-642-40894-6_5; https://link.springer.com/chapter/10.1007/978-3-642-40894-6_5
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know