Being 2018 a special year for celebrating 50 years of tremendously successful of research, education and practices in software engineering, SIMBig is pleased to present the DISE (Data-drIven Software Engineering) for its first edition.
Software engineering is the application of engineering techniques and methods to the software development. It gains more and more importance in research, high-reputed international conference series such as ICSE, ASE and ESEM offer dedicated venues for discussing research advancements in software engineering. On the other hand, 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 until military actions.
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 problems of software engineering and iii) to identify the main challenges on the topic of knowledge transfer between data science and software engineering communities.
More concretely we aim at creating an occasion for discussing data-driven software engineering via exploring:
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:
PhD(c) degree in computer science
University College London