The 27th IEEE International Requirements Engineering Conference (RE'19) is the premier international forum for researchers, practitioners, educators, and students to present and discuss the most recent innovations, experiences, and concerns in the discipline of requirements engineering.
RE'19 theme is RE and Collective Intelligence in the Days of AI
In the era of Artificial Intelligence, the past decade has seen an explosion in both the capabilities and adoption of artificial intelligence technologies. Apparently, AI focuses on developing theories and systems pertaining to intelligent behavior. However, AI is not only limited to numerous advancement of technical capabilities. One aspect of AI that is less highlighted is the design and control of AI systems. The big picture of AI should include ethical thought concerning the design, use and misuse of intelligent systems. In order to design an intelligent system with the understanding of social and ethical values, stakeholders from multi-disciplinary need to be involved. This introduces a new concept of collective intelligence where interconnected groups of people and computers work hand-in-hand to produce desirable result. This is a high time to acknowledge the pertinence of collaborative efforts that provide benefits by exploring and understanding the problem on a greater scale than individual decision making to obtain cumulative beliefs. This paradigm shift that includes human and society in the design of AI systems opens up new scope for requirements engineering (RE). Application of RE in the days of AI can be twofold. Firstly, RE techniques are important to explore the complex problem space so that we design an intelligent machine that understands the nature of real-world problems and behaves accordingly. Secondly, the developers need to have a clear idea about what people (or in a large scale ‘society’) expect from AI and articulate these expectations/values to machine. A thorough understanding of RE can help negotiating the values of various stakeholders affected by AI system. We may need to give priority to questions like “how to collaborate among various groups of people with different perspectives and expectations so that we end up designing the right system with the right set of behaviors” rather than “how to make a system intelligent with the latest technical achievements”. By incorporating an end-to-end collaboration of RE and Collective Intelligence in AI technology, the engineers can provide a system that understands the complexity of human and environments.
RE'19 will offer an extensive program of interest to academia, government and industry. It will include several distinguished keynote speakers and three conference days with full of research papers, industry papers, RE@Next papers, panels, posters and demos. The conference will also feature a series of exciting tutorials to develop skills in and advance awareness of RE practices of particular interest to industry. It will include two days of workshops and a doctoral symposium to offer forums for participants to present cutting-age techniques and approaches in particular fields.
New this year: In an effort to promote open data and science in the RE community, a new track entitled Artifacts, will assess the functional, reusable and available properties of the research artifacts produced in the submitted RE'19 research papers. Submissions to this track are expected from authors of accepted papers in the main Research Track.
Note that RE'19 also welcomes submissions of