SBSE Track in JISBD 2017

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. JISBD 2017 is a multi-conference where the III Track on Search Based Software Engineering (SBSE) will be held.

Location and date: Tenerife, July, 19-21

Aims and scope

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.

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.

Revisores

Enrique Alba, Universidad de Málaga
Isabel del Águila, Universidad de Almería
José del Sagrado, Universidad de Almería
Carmelo del Valle, Universidad de Sevilla
Antonia Estero-Botaro, Universidad de Cádiz
Javier Ferrer, Universidad de Málaga
Inmaculada Medina-Bulo, Universidad de Cádiz
Francisco Palomo-Lozano, Universidad de Cádiz
José Antonio Parejo, Universidad de Sevilla
Daniel Rodr´guez, Universidad de Alcalá
Sergio Segura, Universidad de Sevilla
Javier Tuya, Universidad de Oviedo
Sebastián Ventura, Universidad de Córdoba
Tanja Vos, Universidad Politécnica de Valencia

Coordinadores

José Rául Romero (Universidad de Córdoba)
Francisco Chicano (Universidad de Málaga)