Mapeamento Sistemático sobre Métodos Computacionais para Análise das Trajetórias Profissionais de Egressos em Cursos de Computação e Áreas Correlatas
Resumo
Este trabalho apresenta um mapeamento sistemático da literatura sobre estudos envolvendo egressos, com foco na identificação de fontes de dados, métodos analíticos, contribuições da Engenharia de Software, dimensões de trajetória e uso de técnicas de explicabilidade. Foram analisados cinquenta estudos primários. Os resultados indicam a predominância de questionários e estatística descritiva, além do crescimento do uso de dados de plataformas profissionais, como o LinkedIn. Contudo, observa-se baixa integração de fontes, uso limitado de técnicas de mineração e pouca atenção à explicabilidade, apontando lacunas e oportunidades para abordagens mais robustas e transparentes.Referências
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Libing Jiang. Research on market positioning of training for sports information-technology talents from the angle of employment direction. In 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, volume 4, pages 463–467. IEEE, 2010.
Ken Chen, Qingnian Huang, Ming Hu, and Robert M. Randoy. Perspective: Employment conditions for computer engineering related college graduates in china. In 2011 6th International Conference on Computer Science & Education (ICCSE), pages 675–680, 2011.
Angelique D. Lacasandile, Ronnet B. Altuna, Avonn C. Nova, Lilibeth P. Diaz, Kenneth R. Gunay, and Alezzandrei Ericka A. Balbuena. Fostering alumni involvement and professional advancement: A user-centric perspective on the national university alumni portal. In 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), pages 1–6, 2023.
Kais Dai, Celia Gónzalez Nespereira, Ana Fernández Vilas, and Rebeca P Díaz Redondo. Scraping and clustering techniques for the characterization of linkedin profiles. arXiv preprint arXiv:1505.00989, 2015.
Sangita Lade, Ayush Billade, Akshat Chandrapatle, Srinivas Chenna, and Girish Chinchalpalle. Linkedin alumni profile data extraction. In 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), pages 174–178, 2024.
Rahmad Kurniawan, Siska Kurnia Gusti, Sukamto, Syamsudhuha, and Rahmad Abdillah. Predicting career trajectories of information system graduates using adaboost algorithm. In 2023 9th International Conference on Wireless and Telematics (ICWT), pages 1–5, 2023.
Zhong Minghui. Predicting graduates’ career paths using neural networks and gaussian mixture models. In 2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE), pages 174–178, 2023.
Lucila Pena, Carla Curado, and Mírian Oliveira. The contribution of linkedin use to career outcome expectations. Journal of Business Research, 144:788–796, 2022.
Abdullah Hussein and Mohammed Hussain. Social-media based assessment of academic programs. Studies in Educational Evaluation, 62:149–157, 2019.
Lena Armstrong, Jayne Everson, and Amy J. Ko. Navigating a black box: Students’ experiences and perceptions of automated hiring. In Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, ICER ’23, page 148–158, New York, NY, USA, 2023. Association for Computing Machinery.
P.A. Kozlov, S.I. Safin, and V.O. Tolcheev. Identification and analysis of priority department topics of student’s scientific research. In 2022 VI International Conference on Information Technologies in Engineering Education (Inforino), pages 1–4, 2022.
Lei Li, Guangzhi Zheng, Svetlana Peltsverger, and Chi Zhang. Career trajectory analysis of information technology alumni: A linkedin perspective. In Proceedings of the 17th Annual Conference on Information Technology Education, SIGITE ’16, page 2–6, New York, NY, USA, 2016. Association for Computing Machinery.
S Abhilash, S Abhijith, GL Praveen, et al. Advanced career guidance system (acgs): With career road map. In 2025 International Conference on Networks & Advances in Computational Technologies (NetACT), pages 1–6. IEEE, 2025.
M. Ferreira, A. Barbosa, R. Braga, D. Saraiva, and C. Oliveira. Panorama comparativo da atuação acadêmica e profissional de egressas e egressos de um curso de bacharelado em ciência da computação. In XXX Workshop sobre Educação em Computação, pages 1–10, Porto Alegre, RS, Brasil, 2022. SBC.
Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, and Tiffany Young. Data systems education: Curriculum recommendations, course syllabi, and industry needs. In 2024 Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE 2024, page 95–123, New York, NY, USA, 2025. Association for Computing Machinery.
Milena Soares Ferreira, Bianca Maia Ribeiro, Marcos Eduardo Lopes Silva, Camilla Borchhardt Quincozes, Alice Fonseca Finger, and Aline Vieira de Mello. Acompanhamento de egressos: Mapeamento sistemático de tópicos de interesse de cursos de computação. In Anais do XXXV Simpósio Brasileiro de Informática na Educação (SBIE 2024), pages 2245–2258, Porto Alegre, RS, Brasil, 2024. SBC.
Barbara Kitchenham and Stuart Charters. Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report EBSE-2007-01, Software Engineering Group, School of Computer Science and Mathematics, Keele University and Department of Computer Science, University of Durham, July 2007. Version 2.3, 9 July 2007.
Kai Petersen, Robert Feldt, Shahid Mujtaba, and Michael Mattsson. Systematic mapping studies in software engineering. In 12th international conference on evaluation and assessment in software engineering (EASE). BCS Learning & Development, 2008.
Reinaldo V. Alvares, Marcelo S. Loutfi, and Nathielly de S. Campos. Onde estão meus egressos? relato sobre um mapeamento automatizado da vida profissional dos formados em sistemas de informação da unirio. Anais do XXXI Workshop sobre Educação em Computação, pages 1–10, 2020.
Maleerat Sodanil, Saranlita Chotirat, Lap Poomhiran, and Kanchana Viriyapant. Guideline for academic support of student career path using mining algorithm. In Proceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval, NLPIR ’19, page 133–137, New York, NY, USA, 2019. Association for Computing Machinery.
Henrique Soares Rodrigues and Reinaldo Viana Alvares. Em busca do perfil empreendedor dos egressos de mestrado e doutorado em computação no estado do rio de janeiro. In Escola Regional de Sistemas de Informação do Rio de Janeiro (ERSI-RJ), pages 96–99. SBC, 2021.
Helen Ferreira, Edgar Oliveira, Reinaldo Braga, Mauro Oliveira, and Carina Oliveira. Um estudo do impacto de egressos no desenvolvimento regional como reflexo da interiorização do ensino superior. In Anais do XXIX Workshop sobre Educação em Computação, pages 428–437. Sociedade Brasileira de Computação, 2021.
Alice Finger, Andréa Bordin, and Aline de Mello. Perfil das egressas dos cursos de computação da unipampa: Uma análise da formação acadêmica e da atuação profissional. In Anais do XIV Women in Information Technology, pages 100–109, Porto Alegre, RS, Brasil, 2020. SBC.
Aline Vieira de Mello, Alice Fonseca Finger, and Andréa Sabedra Bordin. Ciência da computação e engenharia de software: semelhanças e diferenças a partir da realidade dos egressos. In Anais do XXXI Simpósio Brasileiro de Informática na Educação (SBIE), pages 1773–1782. Sociedade Brasileira de Computação, 2020.
Venky Shankararaman and Swapna Gottipati. Mapping information systems student skills to industry skills framework. In 2016 IEEE Global Engineering Education Conference (EDUCON), pages 248–253, 2016.
Wantana Areeprayolkij and Mengzhen Li. A decision tree of bioengineering study and career path for educational guidance. In 2023 30th Asia-Pacific Software Engineering Conference (APSEC), pages 539–543. IEEE, 2023.
B. M. D. E Bannaka, D. M. H. S. G Dhanasekara, M. K Sheena, Anuradha Karunasena, and Nadeesa Pemadasa. Machine learning approach for predicting career suitability, career progression and attrition of it graduates. In 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), pages 42–48, 2021.
Pathathai Na Lumpoon and Pree Thiengburanathum. A design and implementation of performance dashboard for the work integrated learning unit. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–6. IEEE, 2019.
Travis D Breaux and Jennifer Moritz. A metric for measuring software engineering post-graduate outcomes. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET), pages 283–295. IEEE, 2023.
Theodoros Lappas. Mining career paths from large resume databases: Evidence from it professionals. ACM Trans. Knowl. Discov. Data, 14(3), May 2020.
Mohamad Jawhar, Majed Almotairi, Jeremy R Miller, and Shadi Jawhar. Ai-powered career matching system for university students: Bridging education and employment. In 2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA), pages 113–117. IEEE, 2025.
Ewa Augustyniak and Piotr Augustyniak. Influencing the job market by the quality of graduates - a biomedical engineering example. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3981–3984, 2015.
Linda Ott. Alumni as a resource to increase student retention in early computer science courses. In 2015 IEEE Frontiers in Education Conference (FIE), pages 1–9. IEEE, 2015.
Jiayi Guo, Lifen Song, Jialei Wang, Yuqi Wang, and Shiyu Zhao. An analysis of employment in agricultural and forestry colleges based on logistic modelling. In 2024 13th International Conference on Educational and Information Technology (ICEIT), pages 273–278. IEEE, 2024.
SL M Rukais, Saleem Adeeba, GAC A Herath, and BTG S Kumara. An ensemble model for predicting career paths of sri lankan it undergraduates. In 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE), pages 1–6. IEEE, 2025.
Lara Gomes, Daniel Saraiva, Raquel Silveira, and Carina Oliveira. Um panorama comparativo por gênero em um curso de bacharelado em ciência da computação. In Anais da XI Escola Regional de Computação do Ceará, Maranhão e Piauí, pages 52–61, Porto Alegre, RS, Brasil, 2023. SBC.
R Ariyanto, C Rachmad, and AR Syulistyo. Automatically collect alumni data on social media. In IOP Conference Series: Materials Science and Engineering, volume 732, page 012071. IOP Publishing, 2020.
Adriana Postal, Clodis Boscarioli, and Jorge Bidarra. O papel da iniciação científica e do trabalho de conclusão de curso na formação acadêmica e profissional na Área da computação. In Anais do XXI Workshop sobre Educação em Computação (WEI). Sociedade Brasileira de Computação, 2013.
Bharat Patel, Varun Kakuste, and Magdalini Eirinaki. Capar: a career path recommendation framework. In 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), pages 23–30. IEEE, 2017.
Thomas Louis Case, Hyo-Joo Han, and Eric Rimes. Career paths of computing program graduates: A linkedin analysis. In Proceedings of the Southern Association for Information Systems Conference (SAIS), page 21, United States, 2016. Association for Information Systems.
Kais Dai, Celia González Nespereira, Ana Fernández Vilas, and Rebeca P. Díaz Redondo. Scraping and clustering techniques for the characterization of linkedin profiles. CoRR, abs/1505.00989, 2015.
Kundan Jha, D. Likhitha, M.Siri Chandana, M.Ram Prakash Reddy, and Maridu Bhargavi. Career prediction using machine learning. In 2024 8th International Conference on Inventive Systems and Control (ICISC), pages 118–122, 2024.
Mehrdad Maghsoudi. Uncovering the skillsets required in computer science jobs using social network analysis, 2023.
Ijeoma JF Ezika, Moses Olayemi, and Chibueze Tobias Orji. Career progression of electronic engineering graduates: A study of linkedin career profiles. In 2022 5th Information Technology for Education and Development (ITED), pages 1–6. IEEE, 2022.
Aniss Moumen, El Houcine Bouchama, and Younes EL BOUZEKRI EL IDIRISSI. Data mining techniques for employability: Systematic literature review. In 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), pages 1–5. IEEE, 2020.
Neepa Kundu, Gourab Mandal, Anirban Bhandari, Udita Bhaskar, and Apurba Nandi. Deep q network-driven intelligent systems: Advancing the dynamics of student-alumni networking and professional mentorship. In 2025 International Conference on Next Generation Communication & Information Processing (INCIP), pages 445–450. IEEE, 2025.
Shanley Corvite and Julie Hui. Social media as a lens into careers during a changing world of work. Proc. ACM Hum.-Comput. Interact., 8(CSCW2), November 2024.
Maria G Ioannides and Stylianos A Papazis. Development of new curricula in vocational education for the needs of enterprises and employability of graduates. In 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), pages 1–5. IEEE, 2016.
M Sharmila Begum, JA Vishwa Raghawin, AM Mohamed Mubeen Azath, and A joel Amrith. Efficient way of interaction between alumni and students with the usage of sentiment analysis. In 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pages 813–817. IEEE, 2022.
Mohamad Kassab. Navigating academic careers in software engineering: An empirical study of faculty and postdoctoral roles. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, FSE Companion ’25, page 936–946, New York, NY, USA, 2025. Association for Computing Machinery.
Priyank Kansal and Harsh Sadawarti. Empowering the future: An in-depth investigation of computer science graduate employability cognitive factors. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–5. IEEE, 2023.
Libing Jiang. Research on market positioning of training for sports information-technology talents from the angle of employment direction. In 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, volume 4, pages 463–467. IEEE, 2010.
Ken Chen, Qingnian Huang, Ming Hu, and Robert M. Randoy. Perspective: Employment conditions for computer engineering related college graduates in china. In 2011 6th International Conference on Computer Science & Education (ICCSE), pages 675–680, 2011.
Angelique D. Lacasandile, Ronnet B. Altuna, Avonn C. Nova, Lilibeth P. Diaz, Kenneth R. Gunay, and Alezzandrei Ericka A. Balbuena. Fostering alumni involvement and professional advancement: A user-centric perspective on the national university alumni portal. In 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), pages 1–6, 2023.
Kais Dai, Celia Gónzalez Nespereira, Ana Fernández Vilas, and Rebeca P Díaz Redondo. Scraping and clustering techniques for the characterization of linkedin profiles. arXiv preprint arXiv:1505.00989, 2015.
Sangita Lade, Ayush Billade, Akshat Chandrapatle, Srinivas Chenna, and Girish Chinchalpalle. Linkedin alumni profile data extraction. In 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), pages 174–178, 2024.
Rahmad Kurniawan, Siska Kurnia Gusti, Sukamto, Syamsudhuha, and Rahmad Abdillah. Predicting career trajectories of information system graduates using adaboost algorithm. In 2023 9th International Conference on Wireless and Telematics (ICWT), pages 1–5, 2023.
Zhong Minghui. Predicting graduates’ career paths using neural networks and gaussian mixture models. In 2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE), pages 174–178, 2023.
Lucila Pena, Carla Curado, and Mírian Oliveira. The contribution of linkedin use to career outcome expectations. Journal of Business Research, 144:788–796, 2022.
Abdullah Hussein and Mohammed Hussain. Social-media based assessment of academic programs. Studies in Educational Evaluation, 62:149–157, 2019.
Lena Armstrong, Jayne Everson, and Amy J. Ko. Navigating a black box: Students’ experiences and perceptions of automated hiring. In Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, ICER ’23, page 148–158, New York, NY, USA, 2023. Association for Computing Machinery.
P.A. Kozlov, S.I. Safin, and V.O. Tolcheev. Identification and analysis of priority department topics of student’s scientific research. In 2022 VI International Conference on Information Technologies in Engineering Education (Inforino), pages 1–4, 2022.
Lei Li, Guangzhi Zheng, Svetlana Peltsverger, and Chi Zhang. Career trajectory analysis of information technology alumni: A linkedin perspective. In Proceedings of the 17th Annual Conference on Information Technology Education, SIGITE ’16, page 2–6, New York, NY, USA, 2016. Association for Computing Machinery.
S Abhilash, S Abhijith, GL Praveen, et al. Advanced career guidance system (acgs): With career road map. In 2025 International Conference on Networks & Advances in Computational Technologies (NetACT), pages 1–6. IEEE, 2025.
M. Ferreira, A. Barbosa, R. Braga, D. Saraiva, and C. Oliveira. Panorama comparativo da atuação acadêmica e profissional de egressas e egressos de um curso de bacharelado em ciência da computação. In XXX Workshop sobre Educação em Computação, pages 1–10, Porto Alegre, RS, Brasil, 2022. SBC.
Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, and Tiffany Young. Data systems education: Curriculum recommendations, course syllabi, and industry needs. In 2024 Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE 2024, page 95–123, New York, NY, USA, 2025. Association for Computing Machinery.
Milena Soares Ferreira, Bianca Maia Ribeiro, Marcos Eduardo Lopes Silva, Camilla Borchhardt Quincozes, Alice Fonseca Finger, and Aline Vieira de Mello. Acompanhamento de egressos: Mapeamento sistemático de tópicos de interesse de cursos de computação. In Anais do XXXV Simpósio Brasileiro de Informática na Educação (SBIE 2024), pages 2245–2258, Porto Alegre, RS, Brasil, 2024. SBC.
Barbara Kitchenham and Stuart Charters. Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report EBSE-2007-01, Software Engineering Group, School of Computer Science and Mathematics, Keele University and Department of Computer Science, University of Durham, July 2007. Version 2.3, 9 July 2007.
Kai Petersen, Robert Feldt, Shahid Mujtaba, and Michael Mattsson. Systematic mapping studies in software engineering. In 12th international conference on evaluation and assessment in software engineering (EASE). BCS Learning & Development, 2008.
Reinaldo V. Alvares, Marcelo S. Loutfi, and Nathielly de S. Campos. Onde estão meus egressos? relato sobre um mapeamento automatizado da vida profissional dos formados em sistemas de informação da unirio. Anais do XXXI Workshop sobre Educação em Computação, pages 1–10, 2020.
Maleerat Sodanil, Saranlita Chotirat, Lap Poomhiran, and Kanchana Viriyapant. Guideline for academic support of student career path using mining algorithm. In Proceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval, NLPIR ’19, page 133–137, New York, NY, USA, 2019. Association for Computing Machinery.
Henrique Soares Rodrigues and Reinaldo Viana Alvares. Em busca do perfil empreendedor dos egressos de mestrado e doutorado em computação no estado do rio de janeiro. In Escola Regional de Sistemas de Informação do Rio de Janeiro (ERSI-RJ), pages 96–99. SBC, 2021.
Helen Ferreira, Edgar Oliveira, Reinaldo Braga, Mauro Oliveira, and Carina Oliveira. Um estudo do impacto de egressos no desenvolvimento regional como reflexo da interiorização do ensino superior. In Anais do XXIX Workshop sobre Educação em Computação, pages 428–437. Sociedade Brasileira de Computação, 2021.
Alice Finger, Andréa Bordin, and Aline de Mello. Perfil das egressas dos cursos de computação da unipampa: Uma análise da formação acadêmica e da atuação profissional. In Anais do XIV Women in Information Technology, pages 100–109, Porto Alegre, RS, Brasil, 2020. SBC.
Aline Vieira de Mello, Alice Fonseca Finger, and Andréa Sabedra Bordin. Ciência da computação e engenharia de software: semelhanças e diferenças a partir da realidade dos egressos. In Anais do XXXI Simpósio Brasileiro de Informática na Educação (SBIE), pages 1773–1782. Sociedade Brasileira de Computação, 2020.
Venky Shankararaman and Swapna Gottipati. Mapping information systems student skills to industry skills framework. In 2016 IEEE Global Engineering Education Conference (EDUCON), pages 248–253, 2016.
Wantana Areeprayolkij and Mengzhen Li. A decision tree of bioengineering study and career path for educational guidance. In 2023 30th Asia-Pacific Software Engineering Conference (APSEC), pages 539–543. IEEE, 2023.
B. M. D. E Bannaka, D. M. H. S. G Dhanasekara, M. K Sheena, Anuradha Karunasena, and Nadeesa Pemadasa. Machine learning approach for predicting career suitability, career progression and attrition of it graduates. In 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), pages 42–48, 2021.
Pathathai Na Lumpoon and Pree Thiengburanathum. A design and implementation of performance dashboard for the work integrated learning unit. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–6. IEEE, 2019.
Travis D Breaux and Jennifer Moritz. A metric for measuring software engineering post-graduate outcomes. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET), pages 283–295. IEEE, 2023.
Theodoros Lappas. Mining career paths from large resume databases: Evidence from it professionals. ACM Trans. Knowl. Discov. Data, 14(3), May 2020.
Mohamad Jawhar, Majed Almotairi, Jeremy R Miller, and Shadi Jawhar. Ai-powered career matching system for university students: Bridging education and employment. In 2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA), pages 113–117. IEEE, 2025.
Ewa Augustyniak and Piotr Augustyniak. Influencing the job market by the quality of graduates - a biomedical engineering example. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3981–3984, 2015.
Linda Ott. Alumni as a resource to increase student retention in early computer science courses. In 2015 IEEE Frontiers in Education Conference (FIE), pages 1–9. IEEE, 2015.
Jiayi Guo, Lifen Song, Jialei Wang, Yuqi Wang, and Shiyu Zhao. An analysis of employment in agricultural and forestry colleges based on logistic modelling. In 2024 13th International Conference on Educational and Information Technology (ICEIT), pages 273–278. IEEE, 2024.
SL M Rukais, Saleem Adeeba, GAC A Herath, and BTG S Kumara. An ensemble model for predicting career paths of sri lankan it undergraduates. In 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE), pages 1–6. IEEE, 2025.
Lara Gomes, Daniel Saraiva, Raquel Silveira, and Carina Oliveira. Um panorama comparativo por gênero em um curso de bacharelado em ciência da computação. In Anais da XI Escola Regional de Computação do Ceará, Maranhão e Piauí, pages 52–61, Porto Alegre, RS, Brasil, 2023. SBC.
R Ariyanto, C Rachmad, and AR Syulistyo. Automatically collect alumni data on social media. In IOP Conference Series: Materials Science and Engineering, volume 732, page 012071. IOP Publishing, 2020.
Adriana Postal, Clodis Boscarioli, and Jorge Bidarra. O papel da iniciação científica e do trabalho de conclusão de curso na formação acadêmica e profissional na Área da computação. In Anais do XXI Workshop sobre Educação em Computação (WEI). Sociedade Brasileira de Computação, 2013.
Bharat Patel, Varun Kakuste, and Magdalini Eirinaki. Capar: a career path recommendation framework. In 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService), pages 23–30. IEEE, 2017.
Thomas Louis Case, Hyo-Joo Han, and Eric Rimes. Career paths of computing program graduates: A linkedin analysis. In Proceedings of the Southern Association for Information Systems Conference (SAIS), page 21, United States, 2016. Association for Information Systems.
Kais Dai, Celia González Nespereira, Ana Fernández Vilas, and Rebeca P. Díaz Redondo. Scraping and clustering techniques for the characterization of linkedin profiles. CoRR, abs/1505.00989, 2015.
Kundan Jha, D. Likhitha, M.Siri Chandana, M.Ram Prakash Reddy, and Maridu Bhargavi. Career prediction using machine learning. In 2024 8th International Conference on Inventive Systems and Control (ICISC), pages 118–122, 2024.
Mehrdad Maghsoudi. Uncovering the skillsets required in computer science jobs using social network analysis, 2023.
Ijeoma JF Ezika, Moses Olayemi, and Chibueze Tobias Orji. Career progression of electronic engineering graduates: A study of linkedin career profiles. In 2022 5th Information Technology for Education and Development (ITED), pages 1–6. IEEE, 2022.
Aniss Moumen, El Houcine Bouchama, and Younes EL BOUZEKRI EL IDIRISSI. Data mining techniques for employability: Systematic literature review. In 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), pages 1–5. IEEE, 2020.
Neepa Kundu, Gourab Mandal, Anirban Bhandari, Udita Bhaskar, and Apurba Nandi. Deep q network-driven intelligent systems: Advancing the dynamics of student-alumni networking and professional mentorship. In 2025 International Conference on Next Generation Communication & Information Processing (INCIP), pages 445–450. IEEE, 2025.
Shanley Corvite and Julie Hui. Social media as a lens into careers during a changing world of work. Proc. ACM Hum.-Comput. Interact., 8(CSCW2), November 2024.
Maria G Ioannides and Stylianos A Papazis. Development of new curricula in vocational education for the needs of enterprises and employability of graduates. In 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), pages 1–5. IEEE, 2016.
M Sharmila Begum, JA Vishwa Raghawin, AM Mohamed Mubeen Azath, and A joel Amrith. Efficient way of interaction between alumni and students with the usage of sentiment analysis. In 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pages 813–817. IEEE, 2022.
Mohamad Kassab. Navigating academic careers in software engineering: An empirical study of faculty and postdoctoral roles. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, FSE Companion ’25, page 936–946, New York, NY, USA, 2025. Association for Computing Machinery.
Priyank Kansal and Harsh Sadawarti. Empowering the future: An in-depth investigation of computer science graduate employability cognitive factors. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–5. IEEE, 2023.
Publicado
04/05/2026
Como Citar
QUINCOZES, Camilla B.; FINGER, Alice Fonseca; MELLO, Aline Vieira de.
Mapeamento Sistemático sobre Métodos Computacionais para Análise das Trajetórias Profissionais de Egressos em Cursos de Computação e Áreas Correlatas. In: SIMPÓSIO BRASILEIRO DE EDUCAÇÃO EM COMPUTAÇÃO (EDUCOMP), 6. , 2026, Campo Grande/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 167-184.
ISSN 3086-0733.
DOI: https://doi.org/10.5753/educomp.2026.18645.
