Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura
El interés de conocer y entender el estado actual de la experimentación hace parte del proyecto de grado “Estado actual de la experimentación en la industria del software: Una revisión sistemática de literatura”, el cual permitirá recopilar información sobre el estado actual de esta ciencia en desar...
- Autores:
-
Peña Dueñas, Laury Fernanda
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/35654
- Acceso en línea:
- https://hdl.handle.net/20.500.12494/35654
- Palabra clave:
- Ingeniería de software
Experimentación de software
Revisión sistemática de literatura
TG 2021 SIS
- Rights
- openAccess
- License
- Atribución – Compartir igual
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dc.title.spa.fl_str_mv |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
title |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
spellingShingle |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura Ingeniería de software Experimentación de software Revisión sistemática de literatura TG 2021 SIS |
title_short |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
title_full |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
title_fullStr |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
title_full_unstemmed |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
title_sort |
Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura |
dc.creator.fl_str_mv |
Peña Dueñas, Laury Fernanda |
dc.contributor.advisor.none.fl_str_mv |
Pincay Lozada, Jorge Luis Alzate Mejía, Néstor |
dc.contributor.author.none.fl_str_mv |
Peña Dueñas, Laury Fernanda |
dc.subject.spa.fl_str_mv |
Ingeniería de software Experimentación de software Revisión sistemática de literatura |
topic |
Ingeniería de software Experimentación de software Revisión sistemática de literatura TG 2021 SIS |
dc.subject.classification.spa.fl_str_mv |
TG 2021 SIS |
description |
El interés de conocer y entender el estado actual de la experimentación hace parte del proyecto de grado “Estado actual de la experimentación en la industria del software: Una revisión sistemática de literatura”, el cual permitirá recopilar información sobre el estado actual de esta ciencia en desarrollo y su proceso evolutivo en la industria de software en los países Brasil, Estados Unidos, España, Finlandia y Países Bajos, y a su vez difundirla para que estudiantes, docentes, investigadores o empresas obtengan información actualizada. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-08-19T18:50:25Z |
dc.date.available.none.fl_str_mv |
2021-08-19T18:50:25Z |
dc.date.issued.none.fl_str_mv |
2021-05 |
dc.type.none.fl_str_mv |
Trabajo de grado - Pregrado |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_7a1f |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/35654 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
Peña Dueñas, L. F. (2021). Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura [Tesis de pregrado, Universidad Cooperativa de Colombia]. Repositorio Institucional Universidad Cooperativa de Colombia. https://repository.ucc.edu.co/handle/20.500.12494/35654 |
url |
https://hdl.handle.net/20.500.12494/35654 |
identifier_str_mv |
Peña Dueñas, L. F. (2021). Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura [Tesis de pregrado, Universidad Cooperativa de Colombia]. Repositorio Institucional Universidad Cooperativa de Colombia. https://repository.ucc.edu.co/handle/20.500.12494/35654 |
dc.relation.references.spa.fl_str_mv |
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Infrastructure for Design, Deployment and Experimentation of Distributed Agent-based Systems: The Requirements, the Technologies, and An Example. Autonomous Agents and Multi-Agent Systems, 7(1–2), 49–69. https://doi.org/10.1023/A:1024124804035 Basil, V. R., & Turner, A. J. (1975). Iterative Enhancement: A Practical Technique for Software Development. IEEE Transactions on Software Engineering, SE-1(4), 390–396. https://doi.org/10.1109/TSE.1975.6312870 Basili, V. R., Selby, R. W., & Hutchens, D. H. (1986). Experimentation in Software Engineering. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, SE-12(7), 733–743. https://doi.org/10.1016/S0065-2458(08)60338-1 Basili, Victor Robert. (2006). The past, present, and future of experimental software engineering. Journal of the Brazilian Computer Society, 12(3), 7–12. https://doi.org/10.1007/BF03194492 Beck, K. (2004). Extreme Programming Explained , Second Edition. https://ptgmedia.pearsoncmg.com/images/9780321278654/samplepages/9780321278654.pd f Bergh, B. Van den, Vermeulen, T., & Pollin, M. V. and S. (2014). CLAWS : Cross-Layer Adaptable Wireless System enabling full cross-layer experimentation on. EURASIP Journal on Wireless Communications and Networking, 187, 1–13. Bernárdez, B., Durán, A., Parejo, J. A., & Ruiz-Cortés, A. (2014). A controlled experiment to evaluate the effects of mindfulness in software engineering. International Symposium on Empirical Software Engineering and Measurement. https://doi.org/10.1145/2652524.2652539 Bernárdez, B., Durán, A., Parejo, J. A., & Ruiz-Cortés, A. (2018). An experimental replication on the effect of the practice of mindfulness in conceptual modeling performance. Journal of Systems and Software, 136, 153–172. https://doi.org/10.1016/j.jss.2016.06.104 Bose, R. (2013). Virtual labs project: A paradigm shift in internet-based remote experimentation. 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Infrastructure Support for Controlled Experimentation with Software Testing and Regression Testing Techniques. ACM SIGSOFT Software Engineering Notes, 29(5), 1–4. https://doi.org/10.1145/1022494.1022534 Do, H., Elbaum, S., & Rothermel, G. (2005). Supporting controlled experimentation with testing techniques: An infrastructure and its potential impact. Empirical Software Engineering, 10(4), 405–435. https://doi.org/10.1007/s10664-005-3861-2 Dolado, J. J., Otero, M. C., & Harman, M. (2014). Equivalence hypothesis testing in experimental software engineering. Software Quality Journal, 22(2), 215–238. https://doi.org/10.1007/s11219-013-9196-0 Domino, M. A., Collins, R. W., & Hevner, A. R. (2007). Controlled experimentation on adaptations of pair programming. Information Technology and Management, 8(4), 297–312. https://doi.org/10.1007/s10799-007-0016-8 Edison, H., Bin Ali, N., & Torkar, R. (2013). Towards innovation measurement in the software industry. Journal of Systems and Software, 86(5), 1390–1407. https://doi.org/10.1016/j.jss.2013.01.013 Fagerholm, F., Kuhrmann, M., & Münch, J. (2017). Guidelines for using empirical studies in software engineering education. PeerJ Computer Science, 2017(9), 1–36. https://doi.org/10.7717/peerj-cs.131 Fagerholm, F., Sanchez Guinea, A., Mäenpää, H., & Münch, J. (2017). The RIGHT model for Continuous Experimentation. Journal of Systems and Software, 123, 292–305. https://doi.org/10.1016/j.jss.2016.03.034 Falessi, D., Juristo, N., Wohlin, C., Turhan, B., Münch, J., Jedlitschka, A., & Oivo, M. (2018). Empirical software engineering experts on the use of students and professionals in experiments. Empirical Software Engineering, 23(1), 452–489. https://doi.org/10.1007/s10664-017-9523-3 Feldt, R., Zimmermann, T., Bergersen, G. R., Falessi, D., Jedlitschka, A., Juristo, N., Münch, J., Oivo, M., Runeson, P., Shepperd, M., Sjøberg, D. I. K., & Turhan, B. (2018). Four commentaries on the use of students and professionals in empirical software engineering experiments. Empirical Software Engineering, 23(6), 3801–3820. https://doi.org/10.1007/s10664-018-9655-0 García, F., Serrano, M., Cruz-lemus, J. A., Genero, M., Calero, C., & Piattini, M. (2004). La Experimentación en la docencia de Ingeniería del Software. Jornadas de Enseñanza Universitaria En La Informática (JENUI 2004), 237–245. Ge, C., Huang, K. W., & Kankanhalli, A. (2020). Platform skills and the value of new hires in the software industry. Research Policy, 49(1), 103864. https://doi.org/10.1016/j.respol.2019.103864 Gómez Gómez, O. S., Aguilar Vera, R. A., & Pech Ucán, J. P. (2018). Experimentación en Ingeniería de Software (Issue December). Gomez, O., Aguilar Vera, R., & Ucán Pech, J. (2018). Experimentación en Ingeniería de Software. December. Gomez, O. S., & Aguileta, A. A. (2018). Influence on the use of an IDE tool support in the pair programming: A controlled experiment. IEEE Latin America Transactions, 16(3), 948–956. https://doi.org/10.1109/TLA.2018.8358678 Gómez, O. S., Ucán, J. P., & Gómez, G. E. (2013). Aplicación del proceso de experimentación a la Ingeniería de Software. Abstraction & Application, 8(2013), 26–37. Harrison, R., Badoo, N., Barry, E., Biffl, S., Parra, A., Winter, B., & Wuest, J. (1999). Directions and methodologies for empirical software engineering research. Empirical Software Engineering, 4(4), 405–410. https://doi.org/10.1023/A:1009877923978 Hatleback, E., & Spring, J. M. (2014). Exploring a mechanistic approach to experimentation in computing. Philosophy and Technology, 27(3), 441–459. https://doi.org/10.1007/s13347- 014-0164-9 Host, M., Regnell, B., & Wohlin, C. (2000). Using students as subjects - a comparative study of students and professionals in lead-time impact assessment. Empirical Software Engineering, 5(3), 201–214. https://doi.org/10.1023/A:1026586415054 Juristo, N., Moreno, A. M., & Vegas, S. (2004). Reviewing 25 Years of Testing Technique Experiments. Empirical Software Engineering, 9(1–2), 7–44. https://doi.org/10.1023/b:emse.0000013513.48963.1b Juristo, N., & Vegas, S. (2011). The role of non-exact replications in software engineering experiments. Empirical Software Engineering, 16(3), 295–324. https://doi.org/10.1007/s10664-010-9141-9 Kai-Yuan, C. (2006). Software Reliability Experimentation and Control. J. Comput. Sci & Technol., 21(5), 697–707. Khoshgoftaar, T. M., Seliya, N., & Sundaresh, N. (2006). An empirical study of predicting software faults with case-based reasoning. Software Quality Journal, 14(2), 85–111. https://doi.org/10.1007/s11219-006-7597-z Kitchenham, B., Al-Khilidar, H., Babar, M. A., Berry, M., Cox, K., Keung, J., Kurniawati, F., Staples, M., Zhang, H., & Zhu, L. (2008). Evaluating guidelines for reporting empirical software engineering studies. Empirical Software Engineering, 13(1), 97–121. https://doi.org/10.1007/s10664-007-9053-5 Kohavi, R., Longbotham, R., Sommerfield, D., & Henne, R. M. (2009). Controlled experiments on the web: Survey and practical guide. Data Mining and Knowledge Discovery, 18(1), 140– 181. https://doi.org/10.1007/s10618-008-0114-1 Laplante, P. A. (2005). Criteria and an objective approach to selecting commercial real-time operating systems based on published information. International Journal of Computers and Applications, 27(2), 82–95. https://doi.org/10.1080/1206212x.2005.11441761 Leivadeas, A., Papagianni, C., & Papavassiliou, S. (2014). SAViNE: social network analysis - inspired content delivery network deployment and experimentation. Eurasip Journal on Wireless Communications and Networking, 2014(1), 1–17. https://doi.org/10.1186/1687- 1499-2014-198 López-Bascuas, L. E., Marín, C. C., & Serradilla García, F. J. (1999). A software tool for auditory and speech perception experimentation. Behavior Research Methods, Instruments, and Computers, 31(2), 334–340. https://doi.org/10.3758/BF03207729 Machado, I., Rodriguez, N., Lima, T., & Stanton, M. (n.d.). El uso de plataformas para experimentación en Internet del Futuro para la enseñanza de redes de computadoras. Mariño, S., López, M., & Alderete, R. (2012). Evaluación formativa en la asignatura Modelos y Simulación: Experimentación mediante la generación de software. Revista Iberoamericana de Educación, 59(4), 7. Mazhelis, O., Tyrväinen, P., & Frank, L. (2013). Vertical software industry evolution: The impact of software costs and limited customer base. Information and Software Technology, 55(4), 690–698. https://doi.org/10.1016/j.infsof.2012.10.006 Meyer, T., & Constantinidis, C. (2005). A software solution for the control of visual behavioral experimentation. Journal of Neuroscience Methods, 142(1), 27–34. https://doi.org/10.1016/j.jneumeth.2004.07.009 Miller, J. (2000). Applying meta-analytical procedures to software engineering experiments. Journal of Systems and Software, 54(1), 29–39. https://doi.org/10.1016/S0164- 1212(00)00024-8 Mon, A., Vinjoy, M., Estayno, M., Serra, D., & S, G. D. I. D. S. G. I. (2012). Experimentación en Ingeniería de Software - Análisis de la influencia de la personalidad en los equipos en el desarrollo de software. XIV Workshop de Investigadores En Ciencias de La Computación, 646–650. Münch, J., Pfahl, D., & Rus, I. (2005). Virtual Software Engineering Laboratories in Support of Trade-off Analyses. Software Quality, 13, 407–428. Nissen, M. E. (2007). Computational experimentation on new organizational forms: Exploring behavior and performance of edge organizations. Computational and Mathematical Organization Theory, 13(3), 203–240. https://doi.org/10.1007/s10588-006-9011-6 Noppen, J., van den Broek, P., & Akşit, M. (2008). Software development with imperfect information. Soft Computing, 12(1), 3–28. https://doi.org/10.1007/s00500-007-0214-7 P. Liliana Rigey, S. Jose Uriel, & R., D. A. (2012). SELECCIÓN Y EVALUACIÓN DE UN ESTABILIZANTE INTEGRADO DE GOMAS SOBRE LAS PROPIEDADES DE CALIDAD EN MEZCLAS PARA HELADO DURO. Vitae, 19, 166–177 Pastor, R., Hernández, R., Ros, S., & Castro, M. (2006). Especificación metodológica de la implementación y desarrollo de entornos de experimentación. Revista Iberoamericana de Tecnologias Del Aprendizaje, 1(1), 27–35. Pfleeger, S. (1994). A challenge to s o f w a r e engineers. Ieee Software. Programa de las Naciones Unidas para el Desarrollo. PNUD. (2019). Raffo, D., Kaltio, T., Partridge, D., Phalp, K., & Ramil, J. F. (1999). Empirical studies applied to software process models. Empirical Software Engineering, 4(4), 353–369. https://doi.org/10.1023/A:1009817721252 Raúl A. Aguilar, O. S. G. J. C. D. (2014). Paradigma Experimental en la Ingeniería de Software – Caso Programación en Pareja. Revista Latinoamericana de Ingenieria de Software, 1(4), 135. https://doi.org/10.18294/relais.2013.135-141 Regnell, B., Runeson, P., & Thelin, T. (2000). Are the perspectives really different? Further experimentation on scenario-based reading of requirements. Empirical Software Engineering, 5(4), 331–356. https://doi.org/10.1023/A:1009848320066 Reiter, R. W. (1981). A Controlled Experiment Quantitatively Comparing Software Development Approaches. IEEE Transactions on Software Engineering, SE-7(3), 299–320. https://doi.org/10.1109/TSE.1981.230841 Ribeiro, T. V., Massollar, J., & Travassos, G. H. (2018). Challenges and pitfalls on surveying evidence in the software engineering technical literature: an exploratory study with novices. Empirical Software Engineering, 23(3), 1594–1663. https://doi.org/10.1007/s10664-017- 9556-7 Salman, I., Misirli, A. T., & Juristo, N. (2015). Are students representatives of professionals in software engineering experiments? 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Difficulties in Running Experiments in the Software Industry: Experiences from the Trenches. Proceedings - 3rd International Workshop on Conducting Empirical Studies in Industry, CESI 2015, 3–9. https://doi.org/10.1109/CESI.2015.8 Votta, L., & Porter, A. (1995). Experimental Software Engineering.A Report on the State of the Art. Proceedings - IEEE Computer Society International Conference, 307. https://doi.org/10.1145/225014.225040 Yaman, S. G., Munezero, M., Münch, J., Fagerholm, F., Syd, O., Aaltola, M., Palmu, C., & Männistö, T. (2017). Introducing continuous experimentation in large software-intensive product and service organisations. Journal of Systems and Software, 133, 195–211. https://doi.org/10.1016/j.jss.2017.07.009 Yule, P., & Cooper, R. P. (2003). Express: A Web-based technology to support human and computational experimentation. Behavior Research Methods, Instruments, and Computers, 35(4), 605–613. https://doi.org/10.3758/BF03195540 Zelkowitz, M. V., & Wallace, D. R. (1998). Experimental models for validating technology. Computer, 31(5), 23–31. https://doi.org/10.1109/2.675630 Zhang, L., Tian, J. H., Jiang, J., Liu, Y. J., Pu, M. Y., & Yue, T. (2018). Empirical Research in Software Engineering — A Literature Survey. Journal of Computer Science and Technology, 33(5), 876–899. https://doi.org/10.1007/s11390-018-1864-x |
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Pincay Lozada, Jorge LuisAlzate Mejía, NéstorPeña Dueñas, Laury Fernanda2021-08-19T18:50:25Z2021-08-19T18:50:25Z2021-05https://hdl.handle.net/20.500.12494/35654Peña Dueñas, L. F. (2021). Estado actual de la experimentación en la industria de software: Una revisión sistemática de literatura [Tesis de pregrado, Universidad Cooperativa de Colombia]. Repositorio Institucional Universidad Cooperativa de Colombia. https://repository.ucc.edu.co/handle/20.500.12494/35654El interés de conocer y entender el estado actual de la experimentación hace parte del proyecto de grado “Estado actual de la experimentación en la industria del software: Una revisión sistemática de literatura”, el cual permitirá recopilar información sobre el estado actual de esta ciencia en desarrollo y su proceso evolutivo en la industria de software en los países Brasil, Estados Unidos, España, Finlandia y Países Bajos, y a su vez difundirla para que estudiantes, docentes, investigadores o empresas obtengan información actualizada.Lista de Tablas. -- Lista de Figuras. -- 1. Identificación del problema. -- 1.1 Planteamiento del problema. -- 1.2 Formulación del problema. -- 2. Justificación. -- 3. Objetivos. -- 3.1 Objetivo general. -- 3.2 Objetivos específicos. -- 4. Marco referencial. -- 4.1 Antecedentes. -- 4.2 Marco teórico. -- 4.1.1 La industria de software. -- 4.1.2 Educación de calidad. -- 4.1.3 Industria, innovación e infraestructura. -- 4.3. Marco conceptual. -- 4.3.1 La ingeniería de software (IS). -- 4.3.2 La programación en pareja. -- 4.3.3 La programación individual. -- 5. Metodología. -- 6. Resultados y discusión. -- 6.1 Descripción de las bases de datos seleccionadas. -- 6.1.1 Identificación bases de datos de investigación académica y bases de datos de referencias bibliográficas. -- 6.1.2 Cualidades de las bases de datos seleccionadas. -- 6.2 Método de búsqueda de publicaciones. -- 6.2.1 Propósito descriptivo. -- 6.3 Identificación del perfil de búsqueda. -- 6.3.1 Definición del perfil de búsqueda en los países seleccionados. -- 6.3.2 Composición de la cadena de búsqueda. -- 6.3.2.1 Palabras clave. -- 6.3.2.2 Países seleccionados. -- 6.4 Análisis de la información obtenida a partir de la ejecución de la metodología de búsqueda. -- 6.4.1 Brasil. -- 6.4.2 Estados Unidos. -- 6.4.3 España. -- 6.4.4 Finlandia. -- 6.4.5 Países Bajos. -- 6.5.1 Caracterización de la investigación. -- 6.5.1.1 Número de publicaciones encontradas por país. -- 6.5.1.2 Revistas influyentes por país de publicación. -- 6.5.1.3 Número de publicaciones clasificadas revista y año. -- 7. Conclusiones. -- 8. Bibliografía.laury.penad@campusucc.edu.co73 p.Universidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería de Sistemas, CaliIngeniería de SistemasCaliIngeniería de softwareExperimentación de softwareRevisión sistemática de literaturaTG 2021 SISEstado actual de la experimentación en la industria de software: Una revisión sistemática de literaturaTrabajo de grado - Pregradohttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionAtribución – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Amatriain, H., Fernández, E., Dieste, O., Pollo-Cattaneo, F., & García-Martínez, R. (2011). Determinacion del modelo de meta-analisis para experimentacion en ingenieria del software. XIII Workshop de Investigadores En Ciencias de La Computación, 1, 423–425Anan, M., Al-Fuqaha, A., Nasser, N., Mu, T. Y., & Bustam, H. (2016). 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11:15:25.258open.accesshttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de 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