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The following list compiles the topics of interest for the track:
 
The following list compiles the topics of interest for the track:
  
* Nuevos métodos de optimización aplicados a las distintas fases del ciclo de vida del software e integración y monitorización de sistemas.
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* New optimization methods applied to the different phases of the software life cycle, as well as integration and monitoring of systems.
* Estudios empíricos y análisis teóricos sobre algoritmos de búsqueda para la ingeniería del software.
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* Empirical studies and theoretical analyses on search algorithms applied to Software Engineering.
* 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.
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* Machine Learning applied to novel software systems, including model driven engineering, autonomous systems, cloud computing, services oriented computing, hybrid artificial systems, etc.
* Aplicaciones del aprendizaje automático en proyectos software, incluyendo su especificación de requisitos, modelado, gestión y repositorios, etc.
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* Machine learning applications to software projects, including requirement specification, modeling, management and repositories, 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.
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* Empirical Software Engineering methods, including the statistical analysis of empirical data and the validation of experiments in the context of Software Engineering.
* Nuevas propuestas para la minería de especificaciones software.
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* New proposals for mining software specifications.
* Herramientas SBSE y sistemas de recomendación y de apoyo a la decisión en el proceso de desarrollo del software.
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* SBSE tools, recommender systems, and decision support systems to assist engineers during the software development process.
* 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.).
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* Applications of search techniques to new problems in Software Engineering and other related areas (cloud computing architectures, dynamic service oriented systems, etc.).
* Aplicaciones industriales y experiencias de SBSE.
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* Industrial applications and experiences in SBSE.
* Discusión de ideas emergentes sobre problemas relacionados con la temática.
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* Discussion of emerging topics related to the field.

Revisión del 15:58 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.

Important dates:

  • Abstract submission: April, 12
  • Paper submission: April, 19
  • Notification of acceptance: June, 14
  • Camera-ready: July, 4
  • Conference: September, 13-16

Topics of interest

The following list compiles the topics of interest for the track:

  • New optimization methods applied to the different phases of the software life cycle, as well as integration and monitoring of systems.
  • Empirical studies and theoretical analyses on search algorithms applied to Software Engineering.
  • Machine Learning applied to novel software systems, including model driven engineering, autonomous systems, cloud computing, services oriented computing, hybrid artificial systems, etc.
  • Machine learning applications to software projects, including requirement specification, modeling, management and repositories, etc.
  • Empirical Software Engineering methods, including the statistical analysis of empirical data and the validation of experiments in the context of Software Engineering.
  • New proposals for mining software specifications.
  • SBSE tools, recommender systems, and decision support systems to assist engineers during the software development process.
  • Applications of search techniques to new problems in Software Engineering and other related areas (cloud computing architectures, dynamic service oriented systems, etc.).
  • Industrial applications and experiences in SBSE.
  • Discussion of emerging topics related to the field.