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## Paper and Academic Usage
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"[GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code](https://arxiv.org/abs/2205.14371)" is the main paper that describes the implementation of security smells in GLITCH. It also presents a large-scale empirical study that analyzes security smells on three large datasets containing 196,755 IaC scripts and 12,281,251 LOC.
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If you use GLITCH or any of its datasets, please cite:
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**If you use GLITCH or any of its datasets, please cite:**
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- Nuno Saavedra and João F. Ferreira. 2022. [GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code](https://arxiv.org/abs/2205.14371). In 37th IEEE/ACM International Conference on Automated Software Engineering (ASE ’22), October 10–14, 2022, Rochester, MI, USA. ACM, New York NY, USA, 12 pages. https://doi.org/10.1145/3551349.3556945
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}
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```
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-Nuno Saavedra, João Gonçalves, Miguel Henriques, João F. Ferreira, Alexandra Mendes. 2023. [Polyglot Code Smell Detection for Infrastructure as Code with GLITCH](https://arxiv.org/pdf/2308.09458.pdf). In 38th IEEE/ACM International Conference on Automated Software Engineering (ASE '23), September 11-15, 2023, Luxembourg.
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https://doi.org/10.1109/ASE56229.2023.00162
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```
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@inproceedings{saavedra23glitchdemo,
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author={Saavedra, Nuno and Gonçalves, João and Henriques, Miguel and Ferreira, João F. and Mendes, Alexandra},
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booktitle={2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
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title={Polyglot Code Smell Detection for Infrastructure as Code with GLITCH},
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