Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software
Proyecto 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 reuni...
- Autores:
-
Rodríguez Rodríguez, Brian Hernando
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/58029
- Acceso en línea:
- http://hdl.handle.net/11634/58029
- Palabra clave:
- Software quality
Software engineering
Software quality metrics
Software testing
Calidad del software
Ingeniería del software
Métricas de calidad de software
Testeo de software
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
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Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| title |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| spellingShingle |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software Software quality Software engineering Software quality metrics Software testing Calidad del software Ingeniería del software Métricas de calidad de software Testeo de software |
| title_short |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| title_full |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| title_fullStr |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| title_full_unstemmed |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| title_sort |
Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software |
| dc.creator.fl_str_mv |
Rodríguez Rodríguez, Brian Hernando |
| dc.contributor.advisor.none.fl_str_mv |
Contreras Ortiz, Martha Susana |
| dc.contributor.author.none.fl_str_mv |
Rodríguez Rodríguez, Brian Hernando |
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https://orcid.org/0000-0002-7715-6420 |
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Universidad Santo Tomás |
| dc.subject.keyword.spa.fl_str_mv |
Software quality Software engineering Software quality metrics Software testing |
| topic |
Software quality Software engineering Software quality metrics Software testing Calidad del software Ingeniería del software Métricas de calidad de software Testeo de software |
| dc.subject.proposal.spa.fl_str_mv |
Calidad del software Ingeniería del software Métricas de calidad de software Testeo de software |
| description |
Proyecto 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. |
| publishDate |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2024-10-01T15:18:05Z |
| dc.date.available.none.fl_str_mv |
2024-10-01T15:18:05Z |
| dc.date.issued.none.fl_str_mv |
2024 |
| dc.type.local.spa.fl_str_mv |
Trabajo de grado |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_7a1f |
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info:eu-repo/semantics/bachelorThesis |
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http://purl.org/coar/resource_type/c_7a1f |
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acceptedVersion |
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Rodríguez Rodríguez, B. H. (2024). Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software. (Trabajo de Grado, Universidad Santo Tomás), Repositorio Institucional. |
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http://hdl.handle.net/11634/58029 |
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reponame:Repositorio Institucional Universidad Santo Tomás |
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instname:Universidad Santo Tomás |
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repourl:https://repository.usta.edu.co |
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Rodríguez Rodríguez, B. H. (2024). Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software. (Trabajo de Grado, Universidad Santo Tomás), Repositorio Institucional. reponame:Repositorio Institucional Universidad Santo Tomás instname:Universidad Santo Tomás repourl:https://repository.usta.edu.co |
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http://hdl.handle.net/11634/58029 |
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spa |
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spa |
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Albattah, W. (2022). Software Package Testability Prediction Using Object-Oriented Cohesion Metrics. 2022 13th International Conference on Information and Communication Systems, ICICS 2022, 155–161. Aleti, 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. Barreto, 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. Biricz, 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. Chahar, 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. Cibir, E., & Ayyildiz, T. E. (2022). An Empirical Study on Software Test Effort Estimation for Defense Projects. IEEE Access, 10, 48082–48087. Deshpande, 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/ICTBIG59752.2023.10456277 Eisty, 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.2018.00036 Faisal, 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.v9i8.5480 Fuentes, 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/JoCICI54528.2021.9794340 Garousi, 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.2017.4541043 Gromova, 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.2019.00048 Hooda, 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/CISES54857.2022.9844275 Locke, 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/ICST57152.2023.00049 Martinez-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.2019.000-2 Mladenova, T. (2020). Software Quality Metrics - Research, Analysis and Recommendation. 2020 International Conference Automatics and Informatics, ICAI 2020 - Proceedings. https://doi.org/10.1109/ICAI50593.2020.9311361 Moreira 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.2019.00292 Neelofar, 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.2022.3228334 Normas ISO 5055. (s/f). Prezi.com. Recuperado el 22 de agosto de 2024, de https://prezi.com/p/fsyfbd57n6ou/normas-iso-5055/ Obaid 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/eSmarTA59349.2023.10293544 Page, 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.n71 Purohit, 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/ICEARS56392.2023.10085333 Ramadhina, 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/CITSM52892.2021.9587932 Saini, 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/CISES58720.2023.10183535 Saini, 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/10.1080/09720529.2020.1747188 Sheketa, 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/DASA51403.2020.9317218 Sivakrishna, 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/ICACCS57279.2023.10113076 Terragni, V., Salza, P., & Pezzè, M. (2020). Measuring software testability modulo test quality. IEEE International Conference on Program Comprehension, 241–251. https://doi.org/10.1145/3387904.3389273 Tran, 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_3 Wang, 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.2019.2905533 |
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Contreras Ortiz, Martha SusanaRodríguez Rodríguez, Brian Hernandohttps://orcid.org/0000-0002-7715-6420https://scholar.google.com/citations?hl=es&user=fxmDbqoAAAAJhttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000901571Universidad Santo Tomás2024-10-01T15:18:05Z2024-10-01T15:18:05Z2024Rodríguez Rodríguez, B. H. (2024). Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de Software. (Trabajo de Grado, Universidad Santo Tomás), Repositorio Institucional.http://hdl.handle.net/11634/58029reponame:Repositorio Institucional Universidad Santo Tomásinstname:Universidad Santo Tomásrepourl:https://repository.usta.edu.coProyecto 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.The 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.Ingeniero InformáticoPregradoapplication/pdfspaUniversidad Santo TomásIngeniería InformáticaFacultad de Ingeniería de SistemasAtribución-NoComercial-SinDerivadas 2.5 Colombiahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Caracterización de Métricas de Calidad Orientadas al Proceso de Pruebas de SoftwareSoftware qualitySoftware engineeringSoftware quality metricsSoftware testingCalidad del softwareIngeniería del softwareMétricas de calidad de softwareTesteo de softwareTrabajo de gradoinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisCRAI-USTA TunjaAlbattah, W. (2022). Software Package Testability Prediction Using Object-Oriented Cohesion Metrics. 2022 13th International Conference on Information and Communication Systems, ICICS 2022, 155–161.Aleti, 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.Barreto, 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.Biricz, 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.Chahar, 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.Cibir, E., & Ayyildiz, T. E. (2022). An Empirical Study on Software Test Effort Estimation for Defense Projects. IEEE Access, 10, 48082–48087.Deshpande, 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/ICTBIG59752.2023.10456277Eisty, 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.2018.00036Faisal, 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.v9i8.5480Fuentes, 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/JoCICI54528.2021.9794340Garousi, 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.2017.4541043Gromova, 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.2019.00048Hooda, 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/CISES54857.2022.9844275Locke, 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/ICST57152.2023.00049Martinez-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.2019.000-2Mladenova, T. (2020). Software Quality Metrics - Research, Analysis and Recommendation. 2020 International Conference Automatics and Informatics, ICAI 2020 - Proceedings. https://doi.org/10.1109/ICAI50593.2020.9311361Moreira 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.2019.00292Neelofar, 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.2022.3228334Normas ISO 5055. 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