Quantitative and qualitative analysis of Git commits

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Explore ways to compare commits by:

• LOCs
• Cyclomatic complexity
• Test coverage
• Any other risk factors

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https://medium.com/civis-analytics/predicting-code-bug-risk-with-git-metadata-bc0b675ad28f

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http://se.cite.ehime-u.ac.jp/~aman/pdf/SEAA2017-2.pdf

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https://www.jsoftware.us/vol17/458-MS04.pdf

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https://link.springer.com/article/10.1007/s11219-020-09520-3

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http://www.diva-portal.org/smash/get/diva2:851524/FULLTEXT01.pdf

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https://fpalomba.github.io/pdf/Journals/J17.pdf

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https://boa.unimib.it/bitstream/10281/397391/1/Lazzarinetti-2021-AIxIA%202021-VoR.pdf

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https://www.cs.cmu.edu/~ckaestne/pdf/jsep17.pdf

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https://asankhaya.github.io/pdf/automated-identification-of-security-issues-from-commit-messages-and-bug-reports.pdf

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https://medium.com/naukri-engineering/bug-prediction-4391b28f36c7

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https://github.com/aricent/codedefectai

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https://arxiv.org/pdf/2212.03399.pdf

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https://harvest.usask.ca/server/api/core/bitstreams/74281abc-4018-43ba-aa6e-b91c29a9a7d7/content

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https://www.sciencedirect.com/science/article/pii/S0164121220301436

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s11219-020-09520-3-1.pdf

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https://harvest.usask.ca/server/api/core/bitstreams/74281abc-4018-43ba-aa6e-b91c29a9a7d7/content

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https://asankhaya.github.io/pdf/automated-identification-of-security-issues-from-commit-messages-and-bug-reports.pdf

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https://www.aau.at/wp-content/uploads/2019/11/Macho2016-buildcochanges.pdf

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https://www.promptingguide.ai/