Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales
La pandemia de COVID-19 obligó a las empresas de software de todo el mundo a transitar rápidamente de entornos presenciales a modalidades remotas o híbridas. A pesar de que la Organización Mundial de la Salud declaró el fin de la emergencia sanitaria en mayo de 2023, el trabajo remoto se ha converti...
- Autores:
-
Acevedo Moreno, Daniel Felipe
Castrillón Castro, Daniela
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2025
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75657
- Acceso en línea:
- https://hdl.handle.net/1992/75657
- Palabra clave:
- Software Development
Performance
Well-Being
Remote Work
Hybrid Work
On-Site Work
Focus Groups
Productivity
Efficiency
Artificial Intelligence
Mental Health
Data Analysis
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| dc.title.alternative.none.fl_str_mv |
Identifying factors that impact performance and well-being of software developers from focus groups |
| title |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| spellingShingle |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales Software Development Performance Well-Being Remote Work Hybrid Work On-Site Work Focus Groups Productivity Efficiency Artificial Intelligence Mental Health Data Analysis Ingeniería |
| title_short |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| title_full |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| title_fullStr |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| title_full_unstemmed |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| title_sort |
Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focales |
| dc.creator.fl_str_mv |
Acevedo Moreno, Daniel Felipe Castrillón Castro, Daniela |
| dc.contributor.advisor.none.fl_str_mv |
Garcés Pernett, Kelly Johany |
| dc.contributor.author.none.fl_str_mv |
Acevedo Moreno, Daniel Felipe Castrillón Castro, Daniela |
| dc.contributor.jury.none.fl_str_mv |
Garcés Pernett, Kelly Johany |
| dc.subject.keyword.none.fl_str_mv |
Software Development Performance Well-Being Remote Work Hybrid Work On-Site Work Focus Groups Productivity Efficiency Artificial Intelligence Mental Health Data Analysis |
| topic |
Software Development Performance Well-Being Remote Work Hybrid Work On-Site Work Focus Groups Productivity Efficiency Artificial Intelligence Mental Health Data Analysis Ingeniería |
| dc.subject.themes.spa.fl_str_mv |
Ingeniería |
| description |
La pandemia de COVID-19 obligó a las empresas de software de todo el mundo a transitar rápidamente de entornos presenciales a modalidades remotas o híbridas. A pesar de que la Organización Mundial de la Salud declaró el fin de la emergencia sanitaria en mayo de 2023, el trabajo remoto se ha convertido en la nueva normalidad en la industria del software. Este proyecto investiga los factores que influyen en la desempeño y el bienestar de los desarrolladores de software en entornos remotos, híbridos y presenciales en el contexto pospandemia, con un enfoque particular en Colombia. El estudio combina datos recopilados en grupos focales realizados en las ciudades de Bogotá y Medellín junto con una revisión sistemática de la literatura, para identificar los principales factores que impactan la desempeño y el bienestar. Las opiniones de los desarrolladores de software fueron transcritas y clasificadas en factores predefinidos utilizando herramientas de inteligencia artificial generativa, lo que permitió un análisis cuantitativo y cualitativo. Los resultados destacan los factores más relevantes en cada modalidad de trabajo (remoto, híbrido y presencial) teniendo en cuenta el impacto (negativo o positivo), así como los factores comunes entre modalidades de trabajo y categorías (desempeño y bienestar). |
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2025 |
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2025-01-24T21:33:39Z |
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2025-01-24T21:33:39Z |
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2025-01-23 |
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Trabajo de grado - Pregrado |
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Grupos focales en psicología: una herramienta poderosa para la investigación. https://colegiodepsicologossj.com.ar/grupos-focales-en-psicologia/ María del Pilar Escobar and Rocío Bonilla. 2009. Guía conceptual y metodológica para la construcción del ASIS de las Entidades Territoriales. https://campusvirtual.eccc.ucr.ac.cr/pluginfile.php/67431/mod_resource/content/1/Escobar%20y%20Bonilla_2009.pdf Lister T. DeMarco, T. 1999. Peopleware—Productive Projects and Teams. Dorset House. Martina Hogg Denise Russo and Lars Gustavsson. 2021. The Social Effects of Remote Work During COVID-19: A Review of Recent Literature. Journal of Business and Management 12, 3 (2021), 45–67. Pilar Ficapal-Cusí, Joan Torrent-Sellens, Pedro Palos-Sanchez, and Ines Gonzalez-Gonzalez. 2021. The telework performance dilemma: exploring the role of trust, social isolation and fatigue. Employee Relations 43, 4 (2021), 848–870. G. Fink. 2016. Stress, Definitions, Mechanisms, and Effects Outlined: Lessons from Anxiety. Academic Press. 3–11 pages. https://doi.org/10.1016/B978-0-12-800951-2.00001-7 D. Ford, M. A. Storey, T. Zimmermann, C. Bird, S. Jaffe, C. Maddila, and N. Nagappan. 2021. A tale of two cities: Software developers working from home during the covid-19 pandemic. ACM Transactions on Software Engineering and Methodology (TOSEM) 31, 2 (2021), 1–37. N. Forsgren. 2020. An analysis of developer productivity, work cadence, and collaboration in the early days of COVID-19. Octoverse Spotlight (May 2020). Accessed from GitHub Octoverse. Nicole Forsgren, Margaret-Anne Storey, Chandra Maddila, Thomas Zimmermann, Brian Houck, and Jenna Butler. 2021. The SPACE of Developer Productivity: There’s more to it than you think. Queue 19, 1 (2021), 20–48. Pär J. Ågerfalk Helena Holmstrom, Enrico Conchúir and Brian Fitzgerald. 2006. Global Software Development Challenges: A Case Study on Temporal, Geographical and Socio-Cultural Distance. International Conference on Global Software Engineering (2006), 3–11. Mausner B. Snyderman B. Herzberg, F. 1959. The Motivation to Work. John Wiley. M. Humayun and N. Jhanjhi. 2019. Exploring the relationship between GSD, knowledge management, trust and collaboration. Journal of Engineering Science and Technology 14, 2 (2019), 820–843. B. Johnson, T. Zimmermann, and C. Bird. 2019. The effect of work environments on productivity and satisfaction of software engineers. IEEE Transactions on Software Engineering 47, 4 (2019), 736–757. P. Kettunen, T. Gustavsson, M. Laanti, A. Tjernsten, T. Mikkonen, and T. Männistö. 2021. Impacts of COVID-19 Pandemic for Software Development in Nordic Companies–Agility Helps to Respond. In Agile Processes in Software Engineering and Extreme Programming – Workshops. P. Gregory and P. Kruchten (Eds.). Springer International Publishing, Cham, 33–41. N. Khatri. 1999. Emerging issues in strategic HRM in Singapore. International Journal of Manpower 8, 8 (1999), 516–520. https://doi.org/10.1108/01437729910302714 B. 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Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, et al. 2020. Pandemic programming: How COVID-19 affects software developers and how their organizations can help. Empirical software engineering 25 (2020), 4927–4961. I. Richardson, V. Casey, F. McCaffery, J. Burton, and S. Beecham. 2012. A Process Framework for Global Software Engineering Teams. Information and Software Technology 54, 11 (2012), 1175–1191. Daniel Russo, Paul H. P. Hanel, and Niels van Berkel. 2022. Understanding Developers Well-Being and Productivity: A 2-year Longitudinal Analysis during the COVID-19 Pandemic. Journal of Software: Evolution and Process 34, 10 (2022), e2403. C. Sadowski, M. A. Storey, and R. Feldt. 2019. A software development productivity framework. In Rethinking Productivity in Software Engineering. Apress, 39–47. https://doi.org/10.1007/978-1-4842-4221-6_5 Ronnie de Souza Santos, Cleyton Magalhaes, and Cesar Franca. 2022. Hybrid Work Well-Being: Software Professionals Finding Equilibrium. Journal of Systems and Software 188 (2022), 111276. Tracy Hall, Hugh Robinson, Sarah Beecham, Nathan Baddoo, and Helen Sharp. 2008. Motivation in Software Engineering: A Systematic Review. Information and Software Technology 50, 9 (2008), 860–878. S. Sarker, M. Ahuja, and S. Sarker. 2018. Work–life conflict of globally distributed software development personnel: An empirical investigation using border theory. Information Systems Research 29, 1 (2018), 103–126. P. Shachaf. 2008. Cultural diversity and information and communication technology impacts on global virtual teams: An exploratory study. Information Management 45, 2 (2008), 131–142. H. Shah, M. Harrold, and S. Sinha. 2014. Global software testing under deadline pressure: Vendor-side experiences. Information and Software Technology 56, 1 (2014), 6–19. Natalia Juristo, Silvia T. Acuña, and Ana Moreno. 2015. Understanding Software Engineers’ Motivation: The Role of Teamwork and Process Maturity. IEEE Software 32, 2 (2015), 52–57. Moe N. B., Hildrum J., Gonzalez-Huerta J., and Šmite, D. 2023. Work-from-home is here to stay: call for flexibility in post-pandemic work policies. Journal of Systems and Software 195 (2023), 111552. https://doi.org/10.1016/j.jss.2022.111552 Moe N. B., Klotins E., Gonzalez-Huerta J., and Šmite, D. 2023. From forced working-from-home to voluntary working-from-anywhere: two revolutions in telework. Journal of Systems and Software 195 (2023), 111509. https://doi.org/10.1016/j.jss.2022.111509 I. Steinmacher, A. P. Chaves, and M. A. Gerosa. 2010. Awareness support in global software development: a systematic review based on the 3C collaboration model. In International Conference on Collaboration and Technology. Springer, 185–201. https://doi.org/10.1007/978-3-642-15714-1_15 V. Vroom. 1964. Work and Motivation. John Wiley and Sons. D. Šmite. 2006. Global software development projects in one of the biggest companies in Latvia: is geographical distribution a problem? Software Process: Improvement and Practice 11 (2006), 61–76. D. Šmite. 2006. Global software development projects in one of the biggest companies in Latvia: is geographical distribution a problem? Software Process: Improvement and Practice 11, 1 (2006), 61–76. https://doi.org/10.1002/spip.252 M. Zahedi and M. Babar. 2014. Towards an Understanding of Enabling Process Knowing in Global Software Development: A Case Study. In Proceedings of the 2014 International Conference on Global Software Development. |
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Garcés Pernett, Kelly Johanyvirtual::22483-1Acevedo Moreno, Daniel FelipeCastrillón Castro, DanielaGarcés Pernett, Kelly Johanyvirtual::22484-12025-01-24T21:33:39Z2025-01-24T21:33:39Z2025-01-23https://hdl.handle.net/1992/75657instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/La pandemia de COVID-19 obligó a las empresas de software de todo el mundo a transitar rápidamente de entornos presenciales a modalidades remotas o híbridas. A pesar de que la Organización Mundial de la Salud declaró el fin de la emergencia sanitaria en mayo de 2023, el trabajo remoto se ha convertido en la nueva normalidad en la industria del software. Este proyecto investiga los factores que influyen en la desempeño y el bienestar de los desarrolladores de software en entornos remotos, híbridos y presenciales en el contexto pospandemia, con un enfoque particular en Colombia. El estudio combina datos recopilados en grupos focales realizados en las ciudades de Bogotá y Medellín junto con una revisión sistemática de la literatura, para identificar los principales factores que impactan la desempeño y el bienestar. Las opiniones de los desarrolladores de software fueron transcritas y clasificadas en factores predefinidos utilizando herramientas de inteligencia artificial generativa, lo que permitió un análisis cuantitativo y cualitativo. Los resultados destacan los factores más relevantes en cada modalidad de trabajo (remoto, híbrido y presencial) teniendo en cuenta el impacto (negativo o positivo), así como los factores comunes entre modalidades de trabajo y categorías (desempeño y bienestar).Pregrado39 páginasapplication/pdfspaUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería de Sistemas y Computaciónhttps://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Identificación de factores que impactan el desempeño y bienestar de los desarrolladores de software a partir de grupos focalesIdentifying factors that impact performance and well-being of software developers from focus groupsTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPSoftware DevelopmentPerformanceWell-BeingRemote WorkHybrid WorkOn-Site WorkFocus GroupsProductivityEfficiencyArtificial IntelligenceMental HealthData AnalysisIngenieríaS. 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