DISE 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.
All submissions will be reviewed by at least three program Committee members. The submissions will be judged on originality, relevance, technical quality and presentation. We would like to thank you in advance for your scientific contribution to the 9th SIMBig and look forward to having the opportunity to showcase and disseminate your research.
Abstract Submission: August 19, 2022
Paper Submission: August 26, 2022
Notification of acceptance: September 23, 2022
Camera Ready: October 14, 2022
We are looking for contributions that investigate models, design principles, methods and techniques for software engineering using a data-driven approach. DISE 2022 has a broad scope, and specific 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 2022 here.
