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# Makefile | ||
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results.csv: projects_to_examine.csv oss_package_analysis.py | ||
time python -t -3 oss_package_analysis.py -p projects_to_examine.csv | ||
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DISTRIBUTABLES = results.csv projects_to_examine.csv oss_package_analysis.py \ | ||
oss-needing-help.docx dataflow-analysis.pptx \ | ||
Makefile README \ | ||
oss-results.xlsx \ | ||
apt_cache_dumpavail.txt Black-Duck-Letter-6SJan2015.pdf | ||
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# The oss-results.xlsx file is manually created from results.csv. | ||
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# Use "make dist" to create archive of distributable information | ||
dist: oss-metrics.tgz | ||
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oss-metrics.tgz: FORCE | ||
mkdir oss-metrics-latest/ | ||
cp -p $(DISTRIBUTABLES) oss-metrics-latest/ | ||
tar cvzf oss-metrics.tgz oss-metrics-latest/ | ||
rm -fr oss-metrics-latest/ | ||
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FORCE: |
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# cii-analysis | ||
Automated review of open source software projects | ||
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This work contains programs and documentation to help identify | ||
open source software (OSS) projects that may need investment for security. | ||
These go by various names, e.g., "high value targets". | ||
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Key files include: | ||
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* projects_to_examine.csv : CSV file listing OSS projects to be examined, as well as data that requires human input | ||
* oss_package_analysis.py : Python program that reads projects_to_examine.csv to determine the OSS projects to examine. It gathers data from a a variety of data sources, caching where it can. It produces results.csv. | ||
* results.csv: CSV file listing OSS projects and related metrics. | ||
* oss-needing-help.docx : Documentation about this work. | ||
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The Python analysis program is released under the MIT license. | ||
The Python program requires "BeautifulSoup" to work. | ||
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The documentation is released under the Creative Commons CC-BY license. | ||
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Some supporting data was sourced from the Black Duck Open HUB (formerly Ohloh), a free online community resource for discovering, evaluating, tracking and comparing open source code and projects. We thank Black Duck for the data! | ||
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