Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software

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dc.contributor.advisorContreras Ortiz, Martha Susana
dc.contributor.authorRodríguez Rodríguez, Brian Hernando
dc.contributor.corporatenameUniversidad Santo Tomásspa
dc.contributor.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000901571
dc.contributor.googlescholarhttps://scholar.google.com/citations?hl=es&user=fxmDbqoAAAAJ
dc.contributor.orcidhttps://orcid.org/0000-0002-7715-6420
dc.date.accessioned2024-10-01T15:18:05Z
dc.date.available2024-10-01T15:18:05Z
dc.date.issued2024
dc.descriptionProyecto que consistió en desarrollar un análisis de las métricas de calidad implementadas en el proceso de pruebas en el software, que permitió caracterizar los diferentes grupos de métricas y sus respectivas propiedades. Esto mediante un análisis bibliográfico en fuentes de alto impacto para reunir los datos de estas y su posterior estudio. De igual manera, se consultó a expertos en el desarrollo de software, enfatizando en la aplicación de las métricas de calidad con enfoque a la fase de testing de software que presentan en sus proyectos de trabajo y/o que hayan tenido participación. Palabras Clave: Calidad del software, Ingeniería del software, Métricas de calidad de software, Testeo de software.spa
dc.description.abstractThe project involved developing an analysis of the quality metrics implemented in the software testing process, which allowed the characterization of different metrics and their respective properties. This was achieved through a bibliographic analysis of high-impact sources to gather data and conduct a subsequent study. Additionally, software development experts were consulted, with an emphasis on the application of quality metrics focused on the testing phase in the software projects they are involved in or have participated in. Keywords: Software quality, Software engineering, Software quality metrics, Software testing.spa
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero Informáticospa
dc.format.mimetypeapplication/pdf
dc.identifier.citationRodríguez Rodríguez, B. H. (2024). Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software. (Trabajo de Grado, Universidad Santo Tomás), Repositorio Institucional.spa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/58029
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Tunjaspa
dc.publisher.facultyFacultad de Ingeniería de Sistemasspa
dc.publisher.programIngeniería Informáticaspa
dc.relation.referencesAlbattah, W. (2022). Software Package Testability Prediction Using Object-Oriented Cohesion Metrics. 2022 13th International Conference on Information and Communication Systems, ICICS 2022, 155–161.spa
dc.relation.referencesAleti, A. (2023). Software Testing of Generative AI Systems: Challenges and Opportunities. Proceedings - 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering, ICSE-FoSE 2023, 4–14.spa
dc.relation.referencesBarreto, P. P., & Cavalcanti, A. P. C. (2019). A proposed metrics to evaluate the effectiveness of software testing [Uma Proposta de Métricas Para Avaliar a Efetividade da Execução de Testes de Software]. Iberian Conference on Information Systems and Technologies, CISTI, 2019-June.spa
dc.relation.referencesBiricz, B., Jónás, V., Vincze, M., Benhamida, A., Paulik, R., & Kozlovszky, M. (2022). User friendly virtual reality software development and testing. 2022 13th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2022, 87–92.spa
dc.relation.referencesChahar, V., & Bhatia, P. K. (2023). Unveiling the Art of Software Testing Effort Estimation: An In-Depth Study of Current Techniques and their Analysis. Proceedings - 2023 International Conference on Advanced Computing and Communication Technologies, ICACCTech 2023, 51–60.spa
dc.relation.referencesCibir, E., & Ayyildiz, T. E. (2022). An Empirical Study on Software Test Effort Estimation for Defense Projects. IEEE Access, 10, 48082–48087.spa
dc.relation.referencesDeshpande, M. V., Soitkar, P. A., Tripathi, D. R., & Agarmore, S. B. (2023). Ensuring Web Application Quality: The Role of Software Testing as a Form of Quality Assurance. 3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023, 1–6. https://doi.org/10.1109/ICTBIG59752.2023.10456277spa
dc.relation.referencesEisty, N. U., Thiruvathukal, G. K., & Carver, J. C. (2018). A survey of software metric use in research software development. Proceedings - IEEE 14th International Conference on EScience, e-Science 2018, 212–222. https://doi.org/10.1109/eScience.2018.00036spa
dc.relation.referencesFaisal, M. R. (2021). Software Testing: Data Kart and Integrated Pipeline Approach. International Journal on Recent and Innovation Trends in Computing and Communication, 9(8), 1–4. https://doi.org/10.17762/ijritcc.v9i8.5480spa
dc.relation.referencesFuentes, B. A., Cersosimo, M., & Jenkins, M. (2021). Application of Process Metrics for Software Testing: A Case Study. Proceedings - 5th Jornadas Costarricenses de Investigacion En Computacion e Informatica, JoCICI 2021, 1–6. https://doi.org/10.1109/JoCICI54528.2021.9794340spa
dc.relation.referencesGarousi, V., Felderer, M., & Hacaloglu, T. (2018). What We Know about Software Test Maturity and Test Process Improvement. IEEE Software, 35(1), 84–92. https://doi.org/10.1109/MS.2017.4541043spa
dc.relation.referencesGromova, A., Itkin, I., Pavlov, S., & Korovayev, A. (2019). Raising the Quality of Bug Reports by Predicting Software Defect Indicators. Proceedings - Companion of the 19th IEEE International Conference on Software Quality, Reliability and Security, QRS-C 2019, 198–204. https://doi.org/10.1109/QRS-C.2019.00048spa
dc.relation.referencesHooda, S., Lamba, V., Kaur, S., Sharma, V. K., Kumar, R., & Sood, V. (2022). Impact of Software Quality on “gA-FC” Software Testing Technique. Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2022, 142–147. https://doi.org/10.1109/CISES54857.2022.9844275spa
dc.relation.referencesLocke, H. L., Keshia, Y. K. T., Yu, J. C. K., & Chua, H. Y. (2023). QEX: Automated Testing Observability and QA Developer Experience Framework. Proceedings - 2023 IEEE 16th International Conference on Software Testing, Verification and Validation, ICST 2023, 454–460. https://doi.org/10.1109/ICST57152.2023.00049spa
dc.relation.referencesMartinez-Ortiz, A.-L., Lizcano, D., & Ortega, M. (2019). Software Metrics Artifacts Making Web Quality Measurable. 2019 IEEE/ACM 14th International Workshop on Automation of Software Test (AST), 1–6. https://doi.org/10.1109/ast.2019.000-2spa
dc.relation.referencesMladenova, T. (2020). Software Quality Metrics - Research, Analysis and Recommendation. 2020 International Conference Automatics and Informatics, ICAI 2020 - Proceedings. https://doi.org/10.1109/ICAI50593.2020.9311361spa
dc.relation.referencesMoreira Nascimento, A., Vismari, L. F., Cugnasca, P. S., Camargo Junior, J. B., & Rady De Almeira Junior, J. (2019). A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts. Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, 1806–1813. https://doi.org/10.1109/ICMLA.2019.00292spa
dc.relation.referencesNeelofar, N., Smith-Miles, K., Munoz, M. A., & Aleti, A. (2023). Instance Space Analysis of Search-Based Software Testing. IEEE Transactions on Software Engineering, 49(4), 2642–2660. https://doi.org/10.1109/TSE.2022.3228334spa
dc.relation.referencesNormas ISO 5055. (s/f). Prezi.com. Recuperado el 22 de agosto de 2024, de https://prezi.com/p/fsyfbd57n6ou/normas-iso-5055/spa
dc.relation.referencesObaid Barraood, S., Mohd, H., Baharom, F., & Almogahed, A. (2023). Systematic Literature Review on Test Case Quality Characteristics and Metrics. 2023 3rd International Conference on Emerging Smart Technologies and Applications, ESmarTA 2023, 1–8. https://doi.org/10.1109/eSmarTA59349.2023.10293544spa
dc.relation.referencesPage, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. The BMJ, 372. https://doi.org/10.1136/bmj.n71spa
dc.relation.referencesPurohit, S., Singh, S., Agarwal, M., & Verma, N. (2023). A Qualitative and Comprehensive Analysis of Software Testability Metrics and their Trends. Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, 1545–1552. https://doi.org/10.1109/ICEARS56392.2023.10085333spa
dc.relation.referencesRamadhina, S., Bahawares, R. B., Hermadi, I., Suroso, A. I., Rodoni, A., & Arkeman, Y. (2021). Software Defect Prediction Using Process Metrics Systematic Literature Review: Dataset and Granularity Level. 2021 9th International Conference on Cyber and IT Service Management, CITSM 2021, 1–7. https://doi.org/10.1109/CITSM52892.2021.9587932spa
dc.relation.referencesSaini, A., Kumar, S., Kumar, R., Kumar, M., & Kumari, A. (2023). Exploratory Testing of Software Product Linesusing Distance Metrics. Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023, 542–546. https://doi.org/10.1109/CISES58720.2023.10183535spa
dc.relation.referencesSaini, G. L., Panwar, D., Kumar, S., & Singh, V. (2020). A systematic literature review and comparative study of different software quality models. In Journal of Discrete Mathematical Sciences and Cryptography (Vol. 23, Issue 2, pp. 585–593). https://doi.org/10.1080/09720529.2020.1747188spa
dc.relation.referencesSheketa, V., Zorin, V., Chupakhina, S., Kyrsta, N., Pasyeka, M., & Pasieka, N. (2020). Empirical Method of Evaluating the Numerical Values of Metrics in the Process of Medical Software Quality Determination. 2020 International Conference on Decision Aid Sciences and Application, DASA 2020, 22–26. https://doi.org/10.1109/DASA51403.2020.9317218spa
dc.relation.referencesSivakrishna, V., Kumar, P. S., Jhaveri, J., Akanksha, L. S., Rao, P. V., & Sai, N. R. (2023b). Software Testing Based on Software Product Quality Metrics (SPQM). 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, 2151–2156. https://doi.org/10.1109/ICACCS57279.2023.10113076spa
dc.relation.referencesTerragni, V., Salza, P., & Pezzè, M. (2020). Measuring software testability modulo test quality. IEEE International Conference on Program Comprehension, 241–251. https://doi.org/10.1145/3387904.3389273spa
dc.relation.referencesTran, H. K. V., Ali, N. Bin, Börstler, J., & Unterkalmsteiner, M. (2023). Test-Case Quality -- Understanding Practitioners’ Perspectives. 1–16. https://doi.org/10.1007/978-3-030- 35333-9_3spa
dc.relation.referencesWang, X., Sun, W., Hu, L., Zhao, Y., Eric Wong, W., & Chen, Z. (2019). Software-Testing Contests: Observations and Lessons Learned. Computer, 52(10), 61–69. https://doi.org/10.1109/MC.2019.2905533spa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subject.keywordSoftware qualityspa
dc.subject.keywordSoftware engineeringspa
dc.subject.keywordSoftware quality metricsspa
dc.subject.keywordSoftware testingspa
dc.subject.proposalCalidad del softwarespa
dc.subject.proposalIngeniería del softwarespa
dc.subject.proposalMétricas de calidad de softwarespa
dc.subject.proposalTesteo de softwarespa
dc.titleCaracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Softwarespa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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