DISE: Track on Data-drIven Software Engineering

Call for Papers

All submissions will be reviewed by at least three program Committee members. The submissions will be judged on originality, relevance, technical quality and presentation. SIMBig is one of the first conferences grouping related areas such as Data Science, Big Data, NLP and Semantic Web, etc, in Latin America. We would like to thank you in advance for your scientific contribution to the 8th SIMBig and look forward to having the opportunity to showcase and disseminate your research.

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
  • Data-driven search based software engineering.
  • Model-driven software engineering for exploiting users and contextual data.
  • Data-driven software evolution and maintenance.
  • Data-driven software adaptation.
  • Data-driven self-* (self-management, self-adaptation, self-protection, etc.) systems.
  • Data-driven security and privacy .
  • Data-driven software testing.
  • Data-driven requirement engineering .
  • Affective software engineering.
  • Data-driven educational software engineering.
  • Crowdsourcing for Software Engineering .
  • Ethical issues on data collection and exploitation.
  • Platforms and Infrastructure for data-driven software engineering.
  • Data-driven design pattern for software engineering.
  • Non-functional aspects of Big Data processing.
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.


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