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...

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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
id COOPER2_a2850bc86db5b13a8b6115738ef8b801
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/35654
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
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
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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 Amatriain, 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, 423–425
Anan, M., Al-Fuqaha, A., Nasser, N., Mu, T. Y., & Bustam, H. (2016). Empowering networking research and experimentation through Software-Defined Networking. Journal of Network and Computer Applications, 70, 140–155. https://doi.org/10.1016/j.jnca.2016.05.001
Angulo, I., Rodriguez-Gil, L., & Garcia-Zubia, J. (2018). Scaling up the Lab: An Adaptable and Scalable Architecture for Embedded Systems Remote Labs. IEEE Access, 6, 16887–16900. https://doi.org/10.1109/ACCESS.2018.2812925
Barber, K. S., Goel, A., Han, D. C., Kim, J., Lam, D. N., Liu, T. H., MacMahon, M., Martin, C. E., & McKay, R. (2003). 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. IEEE Access, 1, 718–725. https://doi.org/10.1109/ACCESS.2013.2286202
Briand, L., Lanubile, F., Pfleeger, S. L., Rothermel, G., & Schneidewind, N. (1998). Empirical studies of software maintenance: A report from WESS ’97. Empirical Software Engineering, 3(3), 299–307. https://doi.org/10.1023/A:1009788222561
Carver, J. C., Jaccheri, L., Morasca, S., & Shull, F. (2010). A checklist for integrating student empirical studies with research and teaching goals. Empirical Software Engineering, 15(1), 35–59. https://doi.org/10.1007/s10664-009-9109-9
Cruz, S., Fabio, Q. B., & Fernando, L. (2015). Forty years of research on personality in software engineering : A mapping study. COMPUTERS IN HUMAN BEHAVIOR, 46, 94–113. https://doi.org/10.1016/j.chb.2014.12.008
Davis, A., Dieste, O., Hickey, A., Juristo, N., & Moreno, A. M. (2006). Effectiveness of Requirements Elicitation Techniques : Empirical Results Derived from a Systematic Review.
Do, H., Elbaum, S., & Rothermel, G. (2004). 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? Proceedings - International Conference on Software Engineering, 1, 666–676. https://doi.org/10.1109/ICSE.2015.82
Salman, I., Turhan, B., & Vegas, S. (2019). A controlled experiment on time pressure and confirmation bias in functional software testing. In Empirical Software Engineering (Vol. 24, Issue 4). Empirical Software Engineering. https://doi.org/10.1007/s10664-018-9668-8
Sampaio, A., Vasconcelos, A., & Sampaio, P. R. F. (2004). Assessing agile methods: An empirical study. Journal of the Brazilian Computer Society, 10(2), 21–48. https://doi.org/10.1007/BF03192357
Santos, A., & Juristo, N. (2018). Comparing techniques for aggregating interrelated replications in software engineering. ArXiv.
Scanniello, G., Gravino, C., Genero, M., Cruz-Lemus, J. A., Tortora, G., Risi, M., & Dodero, G. (2018). Do software models based on the UML aid in source-code comprehensibility? Aggregating evidence from 12 controlled experiments. Empirical Software Engineering, 23(5), 2695–2733. https://doi.org/10.1007/s10664-017-9591-4
Schermann, G., Cito, J., Leitner, P., Zdun, U., & Gall, H. C. (2018). We’re doing it live: A multimethod empirical study on continuous experimentation. Information and Software Technology, 99(February), 41–57. https://doi.org/10.1016/j.infsof.2018.02.010
Sfetsos, P., Angelis, L., & Stamelos, I. (2006). Investigating the extreme programming system - An empirical study. Empirical Software Engineering, 11(2), 269–301. https://doi.org/10.1007/s10664-006-6404-6
Shull, F., Mendonça, M. G., Basili, V., Carver, J., Maldonado, J. C., Fabbri, S., Travassos, G. H., & Ferreira, M. C. (2004). Knowledge-Sharing Issues in Experimental Software Engineering. Empirical Software Engineering, 9(1–2), 111–137. https://doi.org/10.1023/b:emse.0000013516.80487.33
Sjøberg, D. I. K., Hannay, J. E., Hansen, O., Kampenes, V. B., Karahasanovic, A., Liborg, N.-K., & Rekdal, A. C. (2005). A Survey of Controlled Experiments in Software Engineering. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 31(9), 733–753.
Symons, C. (2010). Software industry performance: What you measure is what you get. IEEE Software, 27(6), 66–72. https://doi.org/10.1109/MS.2009.162
Tonella, P., Torchiano, M., Du Bois, B., & Systä, T. (2007). Empirical studies in reverse engineering: State of the art and future trends. Empirical Software Engineering, 12(5), 551– 571. https://doi.org/10.1007/s10664-007-9037-5
Toth, E. E. (2016). Analyzing “real-world” anomalous data after experimentation with a virtual laboratory. Educational Technology Research and Development, 64(1), 157–173. https://doi.org/10.1007/s11423-015-9408-3
Valett, J. D. (1997). The Practical Use of Empirical Studies for Maintenance Process Improvement. Empirical Software Engineering, 2(2), 133–142. https://doi.org/10.1023/A:1009745132524
Vegas, S., Dieste, O., & Juristo, N. (2015). 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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repository.name.fl_str_mv Repositorio Institucional Universidad Cooperativa de Colombia
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spelling 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). Empowering networking research and experimentation through Software-Defined Networking. Journal of Network and Computer Applications, 70, 140–155. https://doi.org/10.1016/j.jnca.2016.05.001Angulo, I., Rodriguez-Gil, L., & Garcia-Zubia, J. (2018). Scaling up the Lab: An Adaptable and Scalable Architecture for Embedded Systems Remote Labs. IEEE Access, 6, 16887–16900. https://doi.org/10.1109/ACCESS.2018.2812925Barber, K. S., Goel, A., Han, D. C., Kim, J., Lam, D. N., Liu, T. H., MacMahon, M., Martin, C. E., & McKay, R. (2003). 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:1024124804035Basil, 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.1975.6312870Basili, 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)60338-1Basili, 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/BF03194492Beck, K. (2004). Extreme Programming Explained , Second Edition. https://ptgmedia.pearsoncmg.com/images/9780321278654/samplepages/9780321278654.pd fBergh, 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/10.1145/2652524.2652539Bernárdez, 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.2016.06.104Bose, R. (2013). Virtual labs project: A paradigm shift in internet-based remote experimentation. IEEE Access, 1, 718–725. https://doi.org/10.1109/ACCESS.2013.2286202Briand, L., Lanubile, F., Pfleeger, S. L., Rothermel, G., & Schneidewind, N. (1998). Empirical studies of software maintenance: A report from WESS ’97. Empirical Software Engineering, 3(3), 299–307. https://doi.org/10.1023/A:1009788222561Carver, J. C., Jaccheri, L., Morasca, S., & Shull, F. (2010). A checklist for integrating student empirical studies with research and teaching goals. Empirical Software Engineering, 15(1), 35–59. https://doi.org/10.1007/s10664-009-9109-9Cruz, S., Fabio, Q. B., & Fernando, L. (2015). Forty years of research on personality in software engineering : A mapping study. COMPUTERS IN HUMAN BEHAVIOR, 46, 94–113. https://doi.org/10.1016/j.chb.2014.12.008Davis, A., Dieste, O., Hickey, A., Juristo, N., & Moreno, A. M. (2006). Effectiveness of Requirements Elicitation Techniques : Empirical Results Derived from a Systematic Review.Do, H., Elbaum, S., & Rothermel, G. (2004). Infrastructure Support for Controlled Experimentation with Software Testing and Regression Testing Techniques. ACM SIGSOFT Software Engineering Notes, 29(5), 1–4. https://doi.org/10.1145/1022494.1022534Do, 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/s10664-005-3861-2Dolado, 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/s11219-013-9196-0Domino, 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/s10799-007-0016-8Edison, 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.2013.01.013Fagerholm, 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.131Fagerholm, 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.2016.03.034Falessi, 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/s10664-017-9523-3Feldt, 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/s10664-018-9655-0García, 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.2019.103864Gómez 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.2018.8358678Gómez, 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:1009877923978Hatleback, 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- 014-0164-9Host, 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:1026586415054Juristo, 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.0000013513.48963.1bJuristo, 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/s10664-010-9141-9Kai-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-zKitchenham, 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/s10664-007-9053-5Kohavi, 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/s10618-008-0114-1Laplante, 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.2005.11441761Leivadeas, 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- 1499-2014-198López-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/BF03207729Machado, 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.2012.10.006Meyer, 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.2004.07.009Miller, 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)00024-8Mon, 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/s10588-006-9011-6Noppen, J., van den Broek, P., & Akşit, M. (2008). Software development with imperfect information. Soft Computing, 12(1), 3–28. https://doi.org/10.1007/s00500-007-0214-7P. 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, 166–177Pastor, 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:1009817721252Raúl 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.2013.135-141Regnell, 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:1009848320066Reiter, 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.1981.230841Ribeiro, 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- 9556-7Salman, I., Misirli, A. T., & Juristo, N. (2015). Are students representatives of professionals in software engineering experiments? Proceedings - International Conference on Software Engineering, 1, 666–676. https://doi.org/10.1109/ICSE.2015.82Salman, I., Turhan, B., & Vegas, S. (2019). A controlled experiment on time pressure and confirmation bias in functional software testing. In Empirical Software Engineering (Vol. 24, Issue 4). Empirical Software Engineering. https://doi.org/10.1007/s10664-018-9668-8Sampaio, A., Vasconcelos, A., & Sampaio, P. R. F. (2004). Assessing agile methods: An empirical study. Journal of the Brazilian Computer Society, 10(2), 21–48. https://doi.org/10.1007/BF03192357Santos, A., & Juristo, N. (2018). Comparing techniques for aggregating interrelated replications in software engineering. ArXiv.Scanniello, G., Gravino, C., Genero, M., Cruz-Lemus, J. A., Tortora, G., Risi, M., & Dodero, G. (2018). Do software models based on the UML aid in source-code comprehensibility? Aggregating evidence from 12 controlled experiments. Empirical Software Engineering, 23(5), 2695–2733. https://doi.org/10.1007/s10664-017-9591-4Schermann, G., Cito, J., Leitner, P., Zdun, U., & Gall, H. C. (2018). We’re doing it live: A multimethod empirical study on continuous experimentation. Information and Software Technology, 99(February), 41–57. https://doi.org/10.1016/j.infsof.2018.02.010Sfetsos, P., Angelis, L., & Stamelos, I. (2006). Investigating the extreme programming system - An empirical study. Empirical Software Engineering, 11(2), 269–301. https://doi.org/10.1007/s10664-006-6404-6Shull, F., Mendonça, M. G., Basili, V., Carver, J., Maldonado, J. C., Fabbri, S., Travassos, G. H., & Ferreira, M. C. (2004). Knowledge-Sharing Issues in Experimental Software Engineering. Empirical Software Engineering, 9(1–2), 111–137. https://doi.org/10.1023/b:emse.0000013516.80487.33Sjøberg, D. I. K., Hannay, J. E., Hansen, O., Kampenes, V. B., Karahasanovic, A., Liborg, N.-K., & Rekdal, A. C. (2005). A Survey of Controlled Experiments in Software Engineering. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 31(9), 733–753.Symons, C. (2010). Software industry performance: What you measure is what you get. IEEE Software, 27(6), 66–72. https://doi.org/10.1109/MS.2009.162Tonella, P., Torchiano, M., Du Bois, B., & Systä, T. (2007). Empirical studies in reverse engineering: State of the art and future trends. Empirical Software Engineering, 12(5), 551– 571. https://doi.org/10.1007/s10664-007-9037-5Toth, E. E. (2016). Analyzing “real-world” anomalous data after experimentation with a virtual laboratory. Educational Technology Research and Development, 64(1), 157–173. https://doi.org/10.1007/s11423-015-9408-3Valett, J. D. (1997). The Practical Use of Empirical Studies for Maintenance Process Improvement. Empirical Software Engineering, 2(2), 133–142. https://doi.org/10.1023/A:1009745132524Vegas, S., Dieste, O., & Juristo, N. (2015). 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.2015.8Votta, 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/10.1145/225014.225040Yaman, 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.2017.07.009Yule, 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/BF03195540Zelkowitz, M. V., & Wallace, D. R. (1998). Experimental models for validating technology. Computer, 31(5), 23–31. https://doi.org/10.1109/2.675630Zhang, L., Tian, J. H., Jiang, J., Liu, Y. J., Pu, M. Y., & Yue, T. (2018). Empirical Research in Software Engineering — A Literature Survey. 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11:15:25.258open.accesshttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de 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