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Item type: Ítem , Reliability of systematic literature reviews on test-driven development(Information and Software Technology, 2025-08-25) Fernando Uyaguari; Silvia Acuña; John Castro; Oscar Dieste; Natalia JuristoContext Test-driven development (TDD) is a software development technique studied empirically over the last few decades. There are several systematic literature reviews (SLRs) on TDD. The reliability of these studies should not be taken for granted because SLRs are highly dependent on the context and researcher decision-making. Objective This study determines, analyses and synthesizes the limited overlap between SLRs on TDD and its influence on the conclusions and results with respect to the code quality and developer productivity response variables. Method A tertiary study was conducted to source SLRs on TDD from the scientific literature, and the primary studies referenced in each SLR were analysed. We compared SLRs with similar objectives, SLRs with similar response variables, and all SLRs. We analysed the differences between the selected primary studies and their impact on the conclusions and results. Results The overlap between SLRs with similar response variables (54 %) is greater than between SLRs with similar objectives (36 %). Only three per cent of the primary studies are included in all eight analysed SLRs. Conclusions regarding external quality and productivity may vary across the SLRs on TDD. While we found that SLR results are similar, these results may differ when authors classify primary studies by experiments and case studies. Conclusion SLRs with similar response variables tend to be more repeatable than SLRs with similar objectives and SLRs addressing the same topic. The SLR authors’ criteria with respect to the consistency of evidence may influence the conclusions of SLRs on TDD. The results of SLRs where all primary studies count equally appear to be consistent. The SLR authors’ criteria for selecting primary studies may influence the results classified by case studies and experiments.Item type: Ítem , Effect of network quality on internet home complaints, queries, and payments(2025 IEEE Ninth Ecuador Technical Chapters Meeting (ETCM), 2025-10-21) Fernando Uyaguari; Erwin Sacato Cabrera; Alvaro Uyaguari; Vanessa Bermeo; Emilio OyervideIn the context of Internet Service Providers (ISP), scientific literature presents, quality models composed of multiple dimensions that influence customer loyalty. The network quality is the most important dimension according to the studies. This study used data from customers whose network quality was upgraded from copper to fiber optic technology between January and April 2019 to measure the effects of the upgrade upon complaints, inquiries and payments. Non-parametric test were used to test hypothesis, the results indicate that the network upgrade has a positive influence on the number of complaints by reducing their quantity. Regarding inquiries, the improvement in network quality doesn’t influence the number of inquiries. The network quality upgrade does influence the number of payments and their value, the network improvement to optical fiber technology increases both the value and the number of payment annually.Item type: Ítem , Efect of socioeconomic level on internet home complaints, inquiries, and payments(2025 IEEE Technology and Engineering Management Society (TEMSCON LATAM), 2025-06-21) Fernando Uyaguari; Erwin Sacoto Cabrera; Alvaro Uyaguari; Vanessa BermeoIn the context of Internet Service Provider (ISP) services, customers seek corrective action, explanations, repair, and apologies when making a complaint. There are indications about the influence of socioeconomic level on the behavior of Internet customers. This study measures the effect of the socioeconomic level on complaints, inquiries, and payments. For the analysis we used 35,842 complaints and 521 inquiries made by 1,998 customers of home Internet service are used. Nonparametric tests were used for hypothesis testing. The results indicate that the socioeconomic level influences the number of complaints, with the high level generating more complaints than the low and medium levels. Regarding inquiries, the socioeconomic level does influence the number of inquiries, with low socioeconomic levels doubling the number of inquiries compared to high levels. The socioeconomic level doesn't influence the number of annual payments or the value paid annually.Item type: Ítem , Relevant Information in TDD Experiment Reporting(ACM Transactions on Software Engineering and Methodology, 2025-01-25) Fernando Uyaguari; Silvia Acuña; John Castro; Davide Fucci; Oscar Dieste; Sira VegasExperiments are a commonly used method of research in software engineering (SE). Researchers report their experiments following detailed guidelines. However, researchers do not, in the field of test-driven development (TDD) at least, specify how they operationalized the response variables and, particularly, the measurement process. This article has three aims: (i) identify the response variable operationalization components in TDD experiments that study external quality; (ii) study their influence on the experimental results; (iii) determine if the experiment reports describe the measurement process components that have an impact on the results. We used two-part sequential mixed methods research. The first part of the research adopts a quantitative approach applying a statistical analysis of the impact of the operationalization components on the experimental results. The second part follows with a qualitative approach applying a systematic mapping study (SMS). The test suites, intervention types and measurers have an influence on the measurements and results of the statistical analysis of TDD experiments in SE. The test suites have a major impact on both the measurements and the results of the experiments. The intervention type has less impact on the results than on the measurements. While the measurers have an impact on the measurements, this is not transferred to the experimental results. On the other hand, the results of our SMS confirm that TDD experiments do not usually report either the test suites, the test case generation method, or the details of how external quality was measured. A measurement protocol should be used to ensure that the measurements made by different measurers are similar. It is necessary to report the test cases, the experimental task and the intervention type in order to be able to reproduce the measurements and statistical analyses, as well as to replicate experiments and build dependable families of experiments.Item type: Ítem , Guía Didáctica - Microeconomía(Wissen, 2024-09-03) Carlos PeñaLa guía de Microeconomía proporciona una estructura conceptual clara para comprender el comportamiento de los agentes económicos y su interacción en los mercados. Analiza principios como oferta y demanda, equilibrio de mercado y asignación eficiente de recursos. Integra fundamentos teóricos y aplicaciones prácticas sobre decisiones de consumo y producción. Examina las fases económicas de producción, distribución y consumo y su impacto en el bienestar. Su objetivo es fortalecer competencias para interpretar y aplicar conceptos microeconómicos en contextos administrativos y empresariales.