Colaborações entre a Indústria, Academia e Governo: Uma Plataforma Inteligente
Resumo
Um dos fatores impactantes nas inserções de novas tecnologias na indústria e governo são as realizações de práticas Colaborativas entre Indústria e Academia (IAC), onde através das Pesquisas-Desenvolvimento (P&D) é possível realizar transformações digitais e o desenvolvimento de novas tecnologias aplicadas. Esse trabalho propõe o desenvolvimento de uma Revisão Sistemática da Literatura (RSL) e o desenvolvimento de uma plataforma inteligente que utiliza práticas de Processamento de Linguagem Natural (PLN) e Large Language Models (LLM) para potencializar essas colaborações. Atualmente, desenvolvemos uma RSL extensa, foi desenvolvido uma primeira versão de um MVP do projeto e organizamos as novas etapas para melhorias no MVP, do sistema e da tese. Os Resultado Futuros vão permitir o compartilhamento, interconexão com as instituições e pesquisadores e auxiliar nas melhores tomadas de decisões dos participantes. LINK DO VÍDEO: https://youtu.be/Gt80d00oTEg
Palavras-chave:
Colaboração Industria e Academia, Conexão, Inteligencia Artificial, Engenharia de Software
Referências
Barbosa, A., Galindo, G., Lencastre, M., Fagundes, R., and Santos, W. (2020). Fostering industry-academia collaboration in software engineering using action research: A case study. In Anais do XIX Simpósio Brasileiro de Qualidade de Software, pages 411–419, Porto Alegre, RS, Brasil. SBC.
Carver, J. and Prikladnicki, R. (2018). Industry–academia collaboration in software engineering. IEEE Software, 35:120–124.
Dallegrave, T. and Santos, W. B. (2023). Action research for industry academia collaboration : A replication study. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Dallegrave, T., Vasconcelos, G., Alves, G., and Santos, W. (2021). Are we ready? identifying the gap between academia and software industry in the context of agile methodologies. In Anais do XXXII Simpósio Brasileiro de Informática na Educação, pages 35–47, Porto Alegre, RS, Brasil. SBC.
Garousi, V., Petersen, K., and Ozkan, B. (2016). Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review. Information and Software Technology, 79:106–127.
Garousi, V., Pfahl, D., Fernandes, J., Felderer, M., Mäntylä, M., Shepherd, D., Arcuri, A., Coşkunçay, A., and Tekinerdogan, B. (2019). Characterizing industry-academia collaborations in software engineering: evidence from 101 projects. Empirical Software Engineering, 24.
Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., and McClosky, D. (2014). The Stanford CoreNLP natural language processing toolkit. In Bontcheva, K. and Zhu, J., editors, Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 55–60, Baltimore, Maryland. Association for Computational Linguistics.
Marijan, D. and Gotlieb, A. (2021). Industry-academia research collaboration in software engineering: The certus model. Information and Software Technology, 132:106473.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Barbosa, L. E. L., Rodrigues, C. M. d. O., and Santos, W. B. (2022a). Industry-academy collaboration in agile methodology: a systematic literature review. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Barbosa, L. E. L., Rodrigues, C. M. d. O., and Santos, W. B. (2022b). Industry-academy collaboration in agile methodology: a systematic literature review. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Rodrigues, C. M. d. O., and Santos, W. B. (2023). Successful practices in industry-academy collaboration in the context of software agility: A systematic literature review. In Filipe, J., Śmiałek, M., Brodsky, A., and Hammoudi, S., editors, Enterprise Information Systems, pages 292–310, Cham. Springer Nature Switzerland.
Mcshane, M. and Nirenburg, S. (2021). Linguistics for the Age of AI.
Petersen, K., Gencel, C., Asghari, N., Baca, D., and Betz, S. (2014). Action research as a model for industry-academia collaboration in the software engineering context. WISE ’14, page 55–62, New York, NY, USA. Association for Computing Machinery.
Sandberg, A. B. and Crnkovic, I. (2017). Meeting industry-academia research collaboration challenges with agile methodologies. In 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP), pages 73–82.
Wohlin, C., Aurum, A., Angelis, L., Phillips, L., Dittrich, Y., Gorschek, T., Grahn, H., Henningsson, K., Kågström, S., Low, G., Rovegard, P., Tomaszewski, P., Van Toorn, C., and Winter, J. (2012). The success factors powering industry-academia collaboration. IEEE Software, 29:67–73.
Carver, J. and Prikladnicki, R. (2018). Industry–academia collaboration in software engineering. IEEE Software, 35:120–124.
Dallegrave, T. and Santos, W. B. (2023). Action research for industry academia collaboration : A replication study. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Dallegrave, T., Vasconcelos, G., Alves, G., and Santos, W. (2021). Are we ready? identifying the gap between academia and software industry in the context of agile methodologies. In Anais do XXXII Simpósio Brasileiro de Informática na Educação, pages 35–47, Porto Alegre, RS, Brasil. SBC.
Garousi, V., Petersen, K., and Ozkan, B. (2016). Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review. Information and Software Technology, 79:106–127.
Garousi, V., Pfahl, D., Fernandes, J., Felderer, M., Mäntylä, M., Shepherd, D., Arcuri, A., Coşkunçay, A., and Tekinerdogan, B. (2019). Characterizing industry-academia collaborations in software engineering: evidence from 101 projects. Empirical Software Engineering, 24.
Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., and McClosky, D. (2014). The Stanford CoreNLP natural language processing toolkit. In Bontcheva, K. and Zhu, J., editors, Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 55–60, Baltimore, Maryland. Association for Computational Linguistics.
Marijan, D. and Gotlieb, A. (2021). Industry-academia research collaboration in software engineering: The certus model. Information and Software Technology, 132:106473.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Barbosa, L. E. L., Rodrigues, C. M. d. O., and Santos, W. B. (2022a). Industry-academy collaboration in agile methodology: a systematic literature review. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Barbosa, L. E. L., Rodrigues, C. M. d. O., and Santos, W. B. (2022b). Industry-academy collaboration in agile methodology: a systematic literature review. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6.
Marques, D. d. G., Dallegrave, T. L. D. d. A., Rodrigues, C. M. d. O., and Santos, W. B. (2023). Successful practices in industry-academy collaboration in the context of software agility: A systematic literature review. In Filipe, J., Śmiałek, M., Brodsky, A., and Hammoudi, S., editors, Enterprise Information Systems, pages 292–310, Cham. Springer Nature Switzerland.
Mcshane, M. and Nirenburg, S. (2021). Linguistics for the Age of AI.
Petersen, K., Gencel, C., Asghari, N., Baca, D., and Betz, S. (2014). Action research as a model for industry-academia collaboration in the software engineering context. WISE ’14, page 55–62, New York, NY, USA. Association for Computing Machinery.
Sandberg, A. B. and Crnkovic, I. (2017). Meeting industry-academia research collaboration challenges with agile methodologies. In 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP), pages 73–82.
Wohlin, C., Aurum, A., Angelis, L., Phillips, L., Dittrich, Y., Gorschek, T., Grahn, H., Henningsson, K., Kågström, S., Low, G., Rovegard, P., Tomaszewski, P., Van Toorn, C., and Winter, J. (2012). The success factors powering industry-academia collaboration. IEEE Software, 29:67–73.
Publicado
05/11/2024
Como Citar
MARQUES, Denis de Gois; SANTOS, Wylliams Barbosa; RODRIGUES, Cleyton Mario de Oliveira.
Colaborações entre a Indústria, Academia e Governo: Uma Plataforma Inteligente. In: WORKSHOP DE TESES E DISSERTAÇÕES EM QUALIDADE DE SOFTWARE - SIMPÓSIO BRASILEIRO DE QUALIDADE DE SOFTWARE (SBQS), 23. , 2024, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 19-26.
DOI: https://doi.org/10.5753/sbqs_estendido.2024.244814.
