Special Track
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.
We invite contributions that advance data-driven computer vision, including image and video methods as well as multimodal approaches when relevant, with an emphasis on transforming perceptual data into actionable evidence for decision making and knowledge discovery. Submissions may address methodological, system-level, or applied aspects and should be supported by experimental validation or real-world case evidence. Topics of interest include, but are not limited to:
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.
Submissions for DISE 2026 here.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
