En los últimos años en nuestro país, hemos sido testigos del alarmante crecimiento y exposición mediática de la violencia sufrida por mujeres usualmente por parte de sus parejas, esposos, cónyuges, enamorados o que hayan tenido algún vínculo en el pasado, muchos de los cuales generaron la muerte de la víctima; conducta que en nuestra legislación está tipificada, como feminicidio o tentativa de feminicidio, dependiendo del resultado, sucesos que cuando fue de conocimiento de la prensa, dio lugar a titulares llamativos y una cobertura a nivel nacional impresionante. En el contexto de normativa nacional destinada a la protección de la mujer se han hecho modificaciones legales para poder contrarrestar esta ola de violencia que amenaza la integridad de las mujeres víctimas de violencia, se implementaron leyes con la finalidad de proteger la integridad y la vida de la mujer, dentr...

Agile approaches consider the software architecture as an emergent feature that can have an intended structure but could be not documented. To controlling the architectural erosion, an architectural conformance analysis could be performed, but considering the source code as a primordial input. This work presents a framework that supports the development of applications for architectural conformance analysis based on rules and measures. The framework uses aggregated graphs, MapReduce operations, and an external DSL; and has been evaluated over studies related to software architecture, and projects like the test suite of Red Hat WildFly and WordPress for Android. The gotten results favor the use of the framework for executing a continuous architectural analysis from source code.

Academic self-efficacy is a powerful predictor of academic success, yet there are several factors that predispose it. Because of this, an explanatory model is proposed using the self-regulation of academic activities, positive affection, and personality. Hierarchical multiple linear regression was used to support the predictive proposal of the model. The Specific Perceived Self-Efficacy Scale of Academic Situations, The Scale of Positive and Negative Experience, Subscale Self-Regulation of Activities of the Academic Procrastination Scale, and Mini International Personality Item Pool (MINI-IPIP) were used. High correlations were obtained in the self-regulation of activities, positive affection, and personality (extraversion, concientousness and openness to experience) to academic self-efficacy. The final predictive model explained 30.1% of the total variance of academic self-efficacy. In ...