Special Track

Track on Data-drIven Software Engineering (DISE)

Call for Papers

Software engineering is the application of engineering techniques and methods to software development. It is gaining more and more importance in research; high-reputed international conference series such as ICSE, FSE, ASE and ESEM offer dedicated venues for discussing research advancements in software engineering. Thanks to the era of data, software engineering has gained ground in many fields introducing new technologies to support most of human actions, from housework to the military.
The DISE track aims to provide an open forum for researchers, practitioners and educators in Peru and Latin America i) to discuss their current work on data-driven software engineering practices ii) to share experiences on the usage of data science methods and tools in solving software engineering problems and iii) to identify the main challenges on knowledge transfer between data science and software engineering communities.

Scope and Topics

We are looking for contributions that investigate models, design principles, methods and techniques for software engineering using a data-driven approach. The topics include but are not limited to:

  • Econometrics and machine learning in software engineering
  • Model-driven software engineering for exploiting users and contextual data
  • Data-driven software evolution and maintenance
  • Data-driven software adaptation
  • Data exploitation for self-* (self-healing, self-adaptation, self-protection, etc.) systems
  • Privacy issues of IoT frameworks or software intensive systems
  • Data-driven software testing
  • Data-driven requirement engineering
  • Affective software engineering
  • Data exploitation for educational software engineering
  • Crowdsourcing for Software Engineering
  • Ethical issues on data collection and exploitation
  • Platforms and Infrastructure for data-driven software engineering
  • Design pattern for data-driven software engineering
  • Non-functional aspects of Big Data processing
  • Data analysis and exploitation for Software Sustainability
  • Green Information Technology
  • Quality attributes of Software Architectures
  • Incorporating Human Computer Interaction models, methods and tools
  • Requirements engineering for interactive systems
  • Engineering user experience
  • Specification of interactive systems (methods, principles and tools)
Long Papers
Long Papers are limited to a total of 13-16 pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Short Papers
Short Papers are limited to a total of 7-12 pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Paper Submission Guidelines

All research submissions must be in English.
Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, see here.

Easychair Submissions Website

Submissions for SIMBig 2021 here.

Program Committee

  • José Ignacio Panach Navarrete, Universitat de València, Spain;
  • José Fabián Reyes Román, PROS Research Center - Universitat Politècnica de València, Spain;
  • Carlos Efraín Iñiguez Jarrín, Escuela Politécnica Nacional, Ecuador;
  • Silvia Rueda Pascual, Universitat de València, Spain;
  • Damiano Distante, University of Rome Unitelma Sapienza, Italy;
  • Otto Parra, Universidad de Cuenca, Ecuador;
  • Vincent Lalanne, Université de Pau et des Pays de l'Adour, France;
  • Aurea Rossy Soriano Vargas, University of Campinas, Brasil;
  • Lenis Wong, Universidad Peruana de Ciencias Aplicadas, Peru;
  • Glen Rodriguez, Universidad Nacional de Ingenieria, Peru;
  • Jose Antonio Pow-Sang, Pontificia Universidad Catolica del Peru, Peru;
  • Yudith Cardinale, Universidad Simón Bolívar, Peru;
  • Manuel Munier, Université de Pau et Pays de l'Adour, France
  • Roxana Lisette Quintanilla Portugal, PUC-Rio, Brasil


Denisse Muñante Arzapalo

Denisse Muñante Arzapalo

Ph.D. in Computer Science


Paris, France

Carlos Gavidia Calderon

Carlos Gavidia Calderon

Ph.D. in Computer Science

The Open University

London, United Kingdom

Jorge Eduardo Diaz Suarez

Jorge Eduardo Díaz Suárez

Ph.D. in Computer Science

Universidad Peruana de Ciencias Aplicadas

Lima, Perú