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TópicoPaperApresentaçãoDataLInk para Apresentação
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Co-evolução de SoftwareMiranda, C., Avelino, G., Santos Neto, P. Uma Análise da Co-Evolução de Teste em Projetos de Software no GitHub. Proceedings of Workshop on Software Visualization, Evolution and Maintenance. https://doi.org/10.5753/vem.2021.17215Charles Miranda10/10 - ter.
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Autoria de códigoCury, O., Avelino, G., Neto, P. S., Britto, R., & Valente, M. T. (2022). Identifying Source Code File Experts. International Symposium on Empirical Software Engineering and Measurement. https://doi.org/10.1145/3544902.3546243Otávio Cury21/11 - ter.
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Issues/bugsKim, S., Whitehead, E. J., & Zhang, Y. (2008). Classifying Software Changes: Clean or Buggy? IEEE Transactions on Software Engineering, 34(2), 181–196. https://doi.org/10.1109/TSE.2007.70773Pedro Henryque23/11 - qui.
Classifying Software Changes: Clean or Buggy?
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ComunicaçãoChatterjee, P., Damevski, K., Pollock, L., Augustine, V., & Kraft, N. A. (2019). Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools. 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), 2019-May, 490–501. https://doi.org/10.1109/MSR.2019.00075Luiz Fernando23/11 - qui.
Exploratory Study of Slack Q&A Chats
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AuthorshipBock, T., Alznauer, N., Joblin, M., & Apel, S. (2023). Automatic Core-developer Identification on GitHub: A Validation Study. ACM Transactions on Software Engineering and Methodology. https://doi.org/10.1145/3593803Jasson C23/11 - qui.
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Divida técnica e RefactoringTUFANO, M. et al. When and Why Your Code Starts to Smell Bad. 1 maio 2015, [S.l.]: IEEE, 1 maio 2015. p. 403–414. Disponível em: <http://ieeexplore.ieee.org/document/7194592/>Moisés Bispo28/11 - ter.
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Divida técnica e Refactoring
Vassallo, C., Grano, G., Palomba, F., Gall, H. C., & Bacchelli, A. (2019). A large-scale empirical exploration on refactoring activities in open source software projects. Science of Computer Programming, 180, 1–15. https://doi.org/10.1016/j.scico.2019.05.002
Lucas William28/11 - ter.
A large-scale empirical exploration on refactoring activities in open source software projects
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Vulnerabilidades de códigoMohayeji, H., Agaronian, A., Constantinou, E., Zannone, N., & Serebrenik, A. (2023). Investigating the Resolution of Vulnerable Dependencies with Dependabot Security Updates. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 234–246. https://doi.org/10.1109/MSR59073.2023.00042Amarildo Jr28/11 - ter.
https://docs.google.com/presentation/d/1PlBNGtdHZlHmQ_9OqW_64YKo5nSs7a55CQQmAkXD7NM/edit?usp=sharing
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Low-code e no-code/ComunicaçãoLUO, Y. et al. Characteristics and Challenges of Low-Code Development. 11 out. 2021, New York, NY, USA: ACM, 11 out. 2021. p. 1–11. Disponível em: https://dl.acm.org/doi/10.1145/3475716.3475782Marcelo Janio30/11 - qui.Apresentação artigo LCD
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DocumentaçãoTang, H., Nadi, S. (2023). Evaluating Software Documentation Quality.2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), 67–78. https://doi.org/10.1109/MSR59073.2023.00023Krisna Calixto30/11 - qui.
Evaluating Software Documentation Quality
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Low-code e no-code/ComunicaçãoAn Empirical Study of Developer Discussions on Low-Code Software Development ChallengesLuiz Fernando30/11 - qui.
https://docs.google.com/presentation/d/1tyL6BIaJ4bv8dUYd4qI_AaLpXZwAXw7l9pk9oqmoseY/edit#slide=id.p
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Busca semântica de códigoHusain, H., Wu, H.-H., Gazit, T., Allamanis, M., & Brockschmidt, M. (2019). CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. http://arxiv.org/abs/1909.09436Matheus Luís05/12 - ter.
CodeSearchNet Challenge
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Code generationZiegler, A., Kalliamvakou, E., Li, X. A., Rice, A., Rifkin, D., Simister, S., Sittampalam, G., & Aftandilian, E. (2022). Productivity assessment of neural code completion. 21–29. https://doi.org/10.1145/3520312.3534864Bruno Mendes05/12 - ter.
https://docs.google.com/presentation/d/1Q7ewiDIJfZszqNTHlO8UgF4XJdwiqqvz-FUCjh5CMZE/edit?usp=sharing
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Code generationPeng, S., Kalliamvakou, E., Cihon, P., & Demirer, M. (2023). The Impact of AI on Developer Productivity: Evidence from GitHub Copilot. http://arxiv.org/abs/2302.06590Bruno Mendes05/12 - ter.
https://docs.google.com/presentation/d/1fGLD54C3q9Z-Ynv-yCyIIqX5iEnFwMTIbeGIIFpdkKs/edit#slide=id.p
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MetricsGoggins, S., Lumbard, K., & Germonprez, M. (2021). Open Source Community Health: Analytical Metrics and Their Corresponding Narratives. 2021 IEEE/ACM 4th International Workshop on Software Health in Projects, Ecosystems and Communities (SoHeal), 25–33. https://doi.org/10.1109/SoHeal52568.2021.00010Victor Emmanuel07/12 - qui.
https://docs.google.com/presentation/d/1PRx3ZpafJvaf4Od1VwubB-fF5WJ7OtJclFe_Sr2owYY/edit?usp=sharing
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Issues/bugsWang, S., Zhang, W., & Wang, Q. (2014). FixerCache: Unsupervised Caching Active Developers for
Diverse Bug Triage. Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 1–10. https://doi.org/10.1145/2652524.2652536		Cassiano Junior07/12 - qui.Apresentação
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MetricsDiego Winter, Guilherme Avelino, and Charles Miranda. 2022. HealthyEnv: a tool to assist in health assessment of software repositories. In XXXVI Brazilian Symposium on Software Engineering (SBES 2022), October 5–7, 2022, Virtual Event, Brazil. ACM, New York, NY, USA 6 Pages.Amós Magalhães07/12 - qui.
https://docs.google.com/presentation/d/1Yxi0Qo462hExeokiM54rErG2IVya8R1wJeCXJYU5w0E/edit?usp=sharing
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Divida técnica e RefactoringSILVA, D.; TSANTALIS, N.; VALENTE, M. T. Why we refactor? confessions of GitHub contributors. nov. 2016, New York, NY, USA: ACM, nov. 2016. p. 858–870. Disponível em: https://dl.acm.org/doi/10.1145/2950290.2950305.
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MetricsApresentação do CHAOSSMoisés Bispo14/12 - qui.
https://docs.google.com/presentation/d/13GTwsam-ddJQ5FVL-W3loiLMrPS81XtZ/edit?usp=sharing&ouid=111172192292973691915&rtpof=true&sd=true
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