Revisión del 15:54 12 jun 2016

SBSE Track in JISBD 2016

General information

The Spanish Conference on Software Engineering and Databases (JISBD) is a research forum for researchers from Spain, Portugal and South America working on these fields. The Ibero-American community around these research areas finds in JISBD an annual meeting point where researchers can present, discuss and interchange their research works and ideas, and network. The XXI edition is co-located with the V Spanish Congress on Computer Science (CEDI). JISBD is a multi-conference where the II Track on Search Based Software Engineering (SBSE) will be held.

Location and date: Salamanca, September, 13-16.

Chairs:

José Rául Romero (University of Córdoba)
Francisco Chicano (University of Málaga)

Call for Papers

Within the Software Engineering field, the appearance of synergies with other areas makes possible the discovery of new ways to solve traditionally complex problems, such as project management, software testing, verification and validation, model driven software engineering, software design, requirements engineering, etc. In this context, the application of search and optimization techniques has lead to the so-called Search Based Software Engineering (SBSE). These automatic techniques provide the engineer with computational solutions that reduce the efforts and human costs required to their resolution.

Another type of algorithm techniques that can be applied to deal with Software Engineering problems is machine learning, a field within Artificial Intelligence that generates solutions based on learning from past experiences. It greatly improves the performance when solving specific problems like learning failure models, requirement extraction, cost prediction, etc. There are also interesting approaches in the context of decision support systems and data mining, whose study deserves further attention. Finally, another research area related with this track is Empirical Software Engineering, which is focused on drawing conclusions from experiments validated by statistical methods.

Fechas relevantes:

Envío de resúmenes: 12 de abril
Envío de artículos: 19 de abril
Notificación de aceptación: 14 de junio
Envío de la versión final (camera-ready): 4 de julio
Celebración del congreso: 13 a 16 de septiembre

Temas de interés

La siguiente lista indica una serie de temas que son de interés para el track:

Nuevos métodos de optimización aplicados a las distintas fases del ciclo de vida del software e integración y monitorización de sistemas.
Estudios empíricos y análisis teóricos sobre algoritmos de búsqueda para la ingeniería del software.
Aprendizaje automático aplicado a los nuevos tipos de sistemas software, entre los que se consideran las soluciones propuestas por la ingeniería dirigida por modelos, los sistemas autónomos, cloud computing, computación orientada a servicios, sistemas híbridos inteligentes, etc.
Aplicaciones del aprendizaje automático en proyectos software, incluyendo su especificación de requisitos, modelado, gestión y repositorios, etc.
Métodos de ingeniería del software empírica, incluyendo análisis estadísticos de datos empíricos y la validación de experimentos en el contexto de la Ingeniería del Software.
Nuevas propuestas para la minería de especificaciones software.
Herramientas SBSE y sistemas de recomendación y de apoyo a la decisión en el proceso de desarrollo del software.
Aplicaciones de técnicas de búsqueda a nuevos problemas de la ingeniería del software y disciplinas afines (arquitecturas de computación en la nube, sistemas dinámicos orientados a servicios, etc.).
Aplicaciones industriales y experiencias de SBSE.
Discusión de ideas emergentes sobre problemas relacionados con la temática.

@@ Línea 15: / Línea 15: @@
 Within the Software Engineering field, the appearance of synergies with other areas makes possible the discovery of new ways to solve traditionally complex problems, such as project management, software testing, verification and validation, model driven software engineering, software design, requirements engineering, etc. In this context, the application of search and optimization techniques has lead to the so-called Search Based Software Engineering (SBSE). These automatic techniques provide the engineer with computational solutions that reduce the efforts and human costs required to their resolution.
-Otra fuente de t&eacute;cnicas algor&iacute;tmicas para resolver problemas de Ingenier&iacute;a del Software es el aprendizaje autom&aacute;tico, una disciplina de la inteligencia artificial que genera soluciones basadas en el aprendizaje a partir de la experiencia y que mejoran notablemente el rendimiento a la hora de resolver determinados problemas, como el aprendizaje de modelos de fallos, la extracci&oacute;n de requisitos, la predicci&oacute;n de costes, etc. En el contexto del apoyo a la decisi&oacute;n y la
+Another type of algorithm techniques that can be applied to deal with Software Engineering problems is machine learning, a field within Artificial Intelligence that generates solutions based on learning from past experiences. It greatly improves the performance when solving specific problems like learning failure models, requirement extraction, cost prediction, etc. There are also interesting approaches in the context of decision support systems and data mining, whose study deserves further attention. Finally, another research area related with this track is Empirical Software Engineering, which is focused on drawing conclusions from experiments validated by statistical methods.
-miner&iacute;a de datos tambi&eacute;n se proponen soluciones interesantes para el ingeniero software cuyo estudio merece ser destacado. Finalmente, adem&aacute;s  de las anteriores, otra &aacute;rea fuertemente vinculada y que tiene especial cabida en este track es la Ingenier&iacute;a del Software Emp&iacute;rica, centrada en extraer conclusiones a partir de experimentos validados con m&eacute;todos estad&iacute;sticos.
 <u>Fechas relevantes:</u>