A Representation Proposal of Practices for Teaching and Learning Software Engineering Using a Semat Kernel Extension

Main Article Content

María Clara Gómez Álvarez
http://orcid.org/0000-0002-4355-2978
Ruben Dario Sanchez-Dams
Alvaro Alexander Barón Salazar

Abstract

Software engineering is a discipline oriented to the definition of methods, techniques and tools for developing software products in an efficient and rapid way. Growing demand of such products generates the need of a large amount of software engineers with the technical and social competencies required by software industry. This situation is a challenge for Higher Education Institutions in terms of a training process of future professionals of this discipline. In this sense, such institutions are exploring active teaching strategies for promoting the needed competencies in students. However, an integrated proposal of these teaching approaches is still underdeveloped. In this paper, the authors present a proposal for representing practices for teaching and learning software engineering, oriented to identify the main concepts included in any type of these practices. The proposal is based on the Semat kernel –Essence standard– as universal framework for representing software engineering practices, defining an extension to such kernel. Finally, we present a representation example of a software engineering teaching and learning practice using the Semat Kernel Extension proposed.


How to Cite
Gómez Álvarez, M. C., Sanchez-Dams, R. D., & Barón Salazar, A. A. (2018). A Representation Proposal of Practices for Teaching and Learning Software Engineering Using a Semat Kernel Extension. Revista Ingenierías Universidad De Medellín, 17(32), 129–154. https://doi.org/10.22395/rium.v17n32a7

Article Details

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Author Biographies

María Clara Gómez Álvarez, Universidad de Medellín

María Clara Gómez ÁlvarezDocente de Tiempo CompletoPrograma de Ingeniería de SistemasCarrera 87 No. 30 - 65 - Bloque 4, Oficina 108Teléfono: (574) 340 57 44Universidad de Medellín

Ruben Dario Sanchez-Dams, Universidad Nacional de Colombia

Rubén Sánchez-Dams

Grupo de Investigación Lenguajes Computacionales

Universidad Nacional de Colombia

Medellín, Colombia

rubendams@gmail.com

Alvaro Alexander Barón Salazar, Universidad de Nariño

Alexander Barón-Salazar

Grupo de Investigación Galeras .Net

Universidad de Nariño

San Juan de Pasto, Colombia

abaron_98@udenar.edu.co