Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report

Autores:: Hernández-Agüero, Erika
Quesada-López, Christian
Chaves-Sánchez, José

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.en-US.fl_str_mv	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
title	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
spellingShingle	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report Continuous software engineering Experience report Goal-Question-Metric (GQM) Key performance indicators Software process improvement Statistical process control Control estadístico de procesos Indicadores clave de desempeño Informe de experiencia Ingeniería de software continua Mejora de procesos de software Objetivo-Pregunta-Métrica (GQM)
title_short	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
title_full	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
title_fullStr	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
title_full_unstemmed	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
title_sort	Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report
dc.creator.fl_str_mv	Hernández-Agüero, Erika Quesada-López, Christian Chaves-Sánchez, José
dc.contributor.author.eng.fl_str_mv	Hernández-Agüero, Erika Quesada-López, Christian Chaves-Sánchez, José
dc.subject.none.fl_str_mv	Continuous software engineering Experience report Goal-Question-Metric (GQM) Key performance indicators Software process improvement Statistical process control Control estadístico de procesos Indicadores clave de desempeño Informe de experiencia Ingeniería de software continua Mejora de procesos de software Objetivo-Pregunta-Métrica (GQM)
topic	Continuous software engineering Experience report Goal-Question-Metric (GQM) Key performance indicators Software process improvement Statistical process control Control estadístico de procesos Indicadores clave de desempeño Informe de experiencia Ingeniería de software continua Mejora de procesos de software Objetivo-Pregunta-Métrica (GQM)
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-07-05 15:50:32 2026-04-16T17:47:47Z
dc.date.available.none.fl_str_mv	2025-07-05 15:50:32
dc.date.issued.none.fl_str_mv	2025-07-05
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dc.relation.references.none.fl_str_mv	D. Galin, Software Quality Assurance From theory to implementation. England: Pearson Education, 2004. E. Hernández-Agüero, C. Quesada-López, M. Jenkins, “Una Combinación de Enfoques para una Mejora de Procesos de Software,” in 7th International Conference On Software Process Improvement, 2018, pp. 47-57. https://doi.org/10.1109/CIMPS.2018.8626059 E. Hernandez-Agüero, C. Quesada-López, J. P. Chaves-Sánchez, “Integración de enfoques ágiles para el mejoramiento continuo de procesos de software", in 13 th International Conference On Software Process Improvement, 2024. B. Fitzgerald, K. J. Stol, “Continuous software engineering: A roadmap and agenda,” Journal of Systems and Software, vol. 123, pp. 176-189, 2017. https://doi.org/10.1016/j.jss.2015.06.063 R. Klendauer, A. Hoffmann, J. M. Leimeister, M. Berkovich, H. Krcmar, “Using the IDEAL software process improvement model for the implementation of Automotive SPICE,” in 5th International Cooperative and Human Aspects of Software Engineering, 2012, pp. 66-72. https://doi.org/10.1109/CHASE.2012.6223026 Object Management Group (OMG), Business Process Model and Notation (BPMN). Version 2.0, 2011. https://www.omg.org/spec/BPMN/2.0/. V. Basili et al., “GQM+Strategies: A Comprehensive Methodology for Aligning Business Strategies with Software Measurement,” arXiv, pp. 253-266, 2014. http://arxiv.org/abs/1402.0292 F. Cocozza, E. Brenes, G. L. Herrera, M. Jenkins, A. Martínez, “Application of GQM+strategies in a small software development unit,” Lectures Notes of Computer Science, vol. 8892, pp. 108-118, 2014. https://doi.org/10.1007/978-3-319-13835-0_8 ISACA, COBIT Framework: Governance and Management Objectives, 2019. https://www.isaca.org/resources/cobit L. G. Wallace, S. D. Sheetz, “The adoption of software measures: A technology acceptance model (TAM) perspective,” Information and Management, vol. 51, no. 2, pp. 249-259, 2014. https://doi.org/10.1016/j.im.2013.12.003 UNED, Estrategia Transformación digital en la UNED, 2021. https://www.uned.ac.cr/sites/default/files/inline-files/Propuesta de Estrategia de Transformación digital en la UNED.pdf J. Bosch, Continuous software engineering, 2014. https://doi.org/10.1007/978-3-319-11283-1 Axelos, ITIL Foundation, 4th Edition. London, UK: TSO (The Stationery Office), 2019. J. L. Butler, T. Zimmermann, C. Bird, “Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development,” ACM International Conference Proceeding Series, no. Section 6, pp. 358-368, 2024. https://doi.org/10.1145/3639477.3639747 M. Staron, W. Meding, K. Niesel, A. Abran, “A key performance indicator quality model and its industrial evaluation,” in 11th International Conference on Software Process and Product Measurement, 2017, pp. 170-179. https://doi.org/10.1109/IWSM-Mensura.2016.033 A. D. Florac, W. A. Carleton, Measuring the software process: statistical process control for software process improvement. Addison-Wesley Professional, 1999. C. Fernandez-Corrales, M. Jenkins, J. Villegas, “Application of statistical process control to software defect metrics: An industry experience report,” in 7th International Conference on Software Process and Product Measurement, 2013, pp. 323-331. https://doi.org/10.1109/ESEM.2013.51 I. M. Subedi, M. Singh, V. Ramasamy, G. S. Walia, “Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers,” in International Symposium on Software Reliability Engineering, 2021, pp. 409-414. https://doi.org/10.1109/ISSREW53611.2021.00111 Z. Zhang, M. Rayhan, T. Herda, M. Goisauf, P. Abrahamsson, LLM-Based Agents for Automating the Enhancement of User Story Quality: An Early Report, vol. 512 LNBIP. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-61154-4_8 E. Hernández-Agüero, C. Quesada-López, J. Chaves-Sánchez, “Evaluación de la calidad de historias de usuario usando modelos de lenguaje de gran tamaño: un estudio en la industria,” in XXVIII Congresso Ibero‑Americano em Engenharia de Software, Spain, 2025, pp. 45-59. https://doi.org/10.5753/cibse.2025 A. Wannes, S. A. Ghannouchi, “KPI-Based Approach for Business Process Improvement,” Procedia Computer Science, vol. 164, pp. 265-270, 2019. https://doi.org/10.1016/j.procs.2019.12.182 K. Schwaber, J. Sutherland, L. G. Definitiva, La Guía Scrum, 2020. https://scrumguides.org/docs/scrumguide/v2020/2020-Scrum-Guide-Spanish.pdf
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dc.rights.none.fl_str_mv	Erika Hernández-Agüero, Christian Quesada-López, José Chaves-Sánchez - 2025
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spelling	Hernández-Agüero, ErikaQuesada-López, ChristianChaves-Sánchez, José2025-07-05 15:50:322026-04-16T17:47:47Z2025-07-05 15:50:322025-07-050121-1129https://repositorio.uptc.edu.co/handle/001/2160810.19053/uptc.01211129.v34.n72.2025.191402357-5328https://doi.org/10.19053/uptc.01211129.v34.n72.2025.19140application/pdftext/xmlUniversidad Pedagógica y Tecnológica de ColombiaErika Hernández-Agüero, Christian Quesada-López, José Chaves-Sánchez - 2025https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ingenieria/article/view/19140Continuous software engineeringExperience reportGoal-Question-Metric (GQM)Key performance indicatorsSoftware process improvementStatistical process controlControl estadístico de procesosIndicadores clave de desempeñoInforme de experienciaIngeniería de software continuaMejora de procesos de softwareObjetivo-Pregunta-Métrica (GQM)Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience ReportArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85D. Galin, Software Quality Assurance From theory to implementation. England: Pearson Education, 2004.E. Hernández-Agüero, C. Quesada-López, M. Jenkins, “Una Combinación de Enfoques para una Mejora de Procesos de Software,” in 7th International Conference On Software Process Improvement, 2018, pp. 47-57. https://doi.org/10.1109/CIMPS.2018.8626059E. Hernandez-Agüero, C. Quesada-López, J. P. Chaves-Sánchez, “Integración de enfoques ágiles para el mejoramiento continuo de procesos de software", in 13 th International Conference On Software Process Improvement, 2024.B. Fitzgerald, K. J. Stol, “Continuous software engineering: A roadmap and agenda,” Journal of Systems and Software, vol. 123, pp. 176-189, 2017. https://doi.org/10.1016/j.jss.2015.06.063R. Klendauer, A. Hoffmann, J. M. Leimeister, M. Berkovich, H. Krcmar, “Using the IDEAL software process improvement model for the implementation of Automotive SPICE,” in 5th International Cooperative and Human Aspects of Software Engineering, 2012, pp. 66-72. https://doi.org/10.1109/CHASE.2012.6223026Object Management Group (OMG), Business Process Model and Notation (BPMN). Version 2.0, 2011. https://www.omg.org/spec/BPMN/2.0/.V. Basili et al., “GQM+Strategies: A Comprehensive Methodology for Aligning Business Strategies with Software Measurement,” arXiv, pp. 253-266, 2014. http://arxiv.org/abs/1402.0292F. Cocozza, E. Brenes, G. L. Herrera, M. Jenkins, A. Martínez, “Application of GQM+strategies in a small software development unit,” Lectures Notes of Computer Science, vol. 8892, pp. 108-118, 2014. https://doi.org/10.1007/978-3-319-13835-0_8ISACA, COBIT Framework: Governance and Management Objectives, 2019. https://www.isaca.org/resources/cobitL. G. Wallace, S. D. Sheetz, “The adoption of software measures: A technology acceptance model (TAM) perspective,” Information and Management, vol. 51, no. 2, pp. 249-259, 2014. https://doi.org/10.1016/j.im.2013.12.003UNED, Estrategia Transformación digital en la UNED, 2021. https://www.uned.ac.cr/sites/default/files/inline-files/Propuesta de Estrategia de Transformación digital en la UNED.pdfJ. Bosch, Continuous software engineering, 2014. https://doi.org/10.1007/978-3-319-11283-1Axelos, ITIL Foundation, 4th Edition. London, UK: TSO (The Stationery Office), 2019.J. L. Butler, T. Zimmermann, C. Bird, “Objectives and Key Results in Software Teams: Challenges, Opportunities and Impact on Development,” ACM International Conference Proceeding Series, no. Section 6, pp. 358-368, 2024. https://doi.org/10.1145/3639477.3639747M. Staron, W. Meding, K. Niesel, A. Abran, “A key performance indicator quality model and its industrial evaluation,” in 11th International Conference on Software Process and Product Measurement, 2017, pp. 170-179. https://doi.org/10.1109/IWSM-Mensura.2016.033A. D. Florac, W. A. Carleton, Measuring the software process: statistical process control for software process improvement. Addison-Wesley Professional, 1999.C. Fernandez-Corrales, M. Jenkins, J. Villegas, “Application of statistical process control to software defect metrics: An industry experience report,” in 7th International Conference on Software Process and Product Measurement, 2013, pp. 323-331. https://doi.org/10.1109/ESEM.2013.51I. M. Subedi, M. Singh, V. Ramasamy, G. S. Walia, “Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers,” in International Symposium on Software Reliability Engineering, 2021, pp. 409-414. https://doi.org/10.1109/ISSREW53611.2021.00111Z. Zhang, M. Rayhan, T. Herda, M. Goisauf, P. Abrahamsson, LLM-Based Agents for Automating the Enhancement of User Story Quality: An Early Report, vol. 512 LNBIP. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-61154-4_8E. Hernández-Agüero, C. Quesada-López, J. Chaves-Sánchez, “Evaluación de la calidad de historias de usuario usando modelos de lenguaje de gran tamaño: un estudio en la industria,” in XXVIII Congresso Ibero‑Americano em Engenharia de Software, Spain, 2025, pp. 45-59. https://doi.org/10.5753/cibse.2025A. Wannes, S. A. Ghannouchi, “KPI-Based Approach for Business Process Improvement,” Procedia Computer Science, vol. 164, pp. 265-270, 2019. https://doi.org/10.1016/j.procs.2019.12.182K. Schwaber, J. Sutherland, L. G. Definitiva, La Guía Scrum, 2020. https://scrumguides.org/docs/scrumguide/v2020/2020-Scrum-Guide-Spanish.pdfe1914072e1914034Revista Facultad de Ingenieríahttps://revistas.uptc.edu.co/index.php/ingenieria/article/download/19140/15963https://revistas.uptc.edu.co/index.php/ingenieria/article/download/19140/16038Núm. 72 , Año 2025 : April-June 2025 (Continuous Publication)PublicationOREORE.xmltext/xml2802https://repositorio.uptc.edu.co/bitstreams/deb09bec-2a7e-4228-a8a7-c275e5b01a7d/downloada8633883e5dc7e6f8c7d1a2503d348afMD51falseAnonymousREAD001/21608oai:repositorio.uptc.edu.co:001/216082026-10-29 14:05:23.362https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Towards Software Process Improvement by Integrating Agile Approaches and Statistical Process Control: An Industrial Experience Report

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