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. SIMBig 2023 has a broad scope, and specific topics of interest include (but are not limited to):

  • Model-driven software engineering
  • Data-driven software evolution and maintenance
  • Data-driven software adaptation
  • Data-driven software testing
  • Data-driven requirement engineering
  • Crowdsourcing for Software Engineering
  • Ethical and privacy issues on data collection and exploitation in 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 (Green IT)
  • Information Technology for Green (IT for Green)
  • 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)
  • Empirical studies in Software Engineering
Long Papers
Long Papers are limited to 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 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.
  • Please, note that DISE submission is double-blind. Therefore, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Follow this instruction to avoid an automatic rejection of the submission.
  • Papers accepted for publication: the camera-ready version of your paper must be submitted only using Latex format. This is to ensure proper insertion of the manuscript in proceedings. Failure to follow this instruction will result in disregard of submission.

Easychair Submissions Website

Submissions for DISE 2023 must be performed strictly via the Easychair: Here

Program Committee

  • Carlos Gavidia Calderon, The Alan Turing Institute, United Kingdom
  • Carlos Efraín Iñiguez Jarrín, Escuela Politécnica Nacional, Ecuador
  • Denisse Muñante Arzapalo,ENSIIE & Samovar, France
  • Essa Imhmed, Eastern New Mexico University, USA,
  • Gandhi Samuel Hernandez Chan, CentroGeo - CONACYT, Mexico
  • Gonzalo Peraza Mues, Tecnologico de Monterrey, Mexico
  • Jose Ignacio Panach Navarrete, Universitat de València, Spain
  • Jose Fabián Reyes-Román, Universitat Politècnica de València, Spain
  • Otto Parra, Universidad de Cuenca, Ecuador
  • Sarbagya Shakya, Eastern New Mexico University, USA
  • Silvia Rueda Pascual, Universitat de València, Spain


Jorge Eduardo Diaz Suarez

Jorge Eduardo Díaz Suárez

PhD in Computer Science

Universidad Peruana de Ciencias Aplicadas

Lima, Peru

Eduardo Ceh-Varela

Eduardo Ceh-Varela

Ph.D. in Computer Science

Eastern New Mexico University

United States of America