DISE 2018 : The first International Track on Data-drIven Software Engineering (DISE)
Call For Papers
Being 2018 a special year for celebrating 50 years of tremendously successful of research, education and practices in software engineering (SE), SIMBig is pleased to present the DISE (Data-drIven Software Engineering) track for its first edition. SE gains more and more importance in research, high-reputed international conference series such as ICSE, ASE and FSE and international journals such as TOSEM and TSE that offer dedicated venues for discussing research advancements in SE. 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 to military actions. Hence, 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.
SCOPE AND TOPICS:
We aim at creating an occasion for discussing: new scenarios, methods and techniques for DISE; new and emerging ideas about techniques for DISE; experiences on trying to solve problems of SE exploiting users and contextual data; synergies and interactions among cross-system DISE techniques and methods. The topics include but are not limited to:
- 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 for 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 SE
- Crowdsourcing for SE
- Ethical issues on data collection and exploitation
- Platforms and Infrastructure for data-driven SE
- Data-driven design pattern for SE
Papers should be submitted in PDF format. They must be unpublished and must not be under review elsewhere. Submissions must be done through easychair (https://easychair.org/conferences/?conf=dise18) following the ACL template in latex (http://simbig.org/SIMBig2018/download/acl18-latex.zip) or word (http://simbig.org/SIMBig2018/download/acl18-word.zip).
We look forward full papers (up to 10 pages) and short papers (up to 5 pages).
Accepted papers will be presented at DISE track (collocated with SIMBig conference) and published in Springer and indexed in DBLP.
Denisse Muñante (email@example.com)
Nelly Condori (firstname.lastname@example.org)
Carlos Gavidia (email@example.com)