This workshop brings together researchers and industrial practitioners to exchange and discuss the latest innovative synergistic AI and SE techniques and practices. SE is now expected to solve a plethora of increasingly complex questions that are dynamic, automated, adaptive, or must execute on a very large scale. In theory, other disciplines could better support SE. For example,

AI technologies can support the development of increasingly complex SE systems as in the case of recommendation systems. Conversely, in theory, SE might also play a role in alleviating development costs and the development effort associated with AI tools and applications such as robotics, where proper development and testing practices are of utmost importance. In practice, this theoretical connection between SE and AI is rarely achieved. We believe that SE has much to offer AI about systems engineering and scalability of methodologies. Yet AI research rarely uses this work.

All this begs the question: Are SE and AI researchers ignoring important insights from AI and SE? To answer this question, RAISE'16 will be a crossover workshop where the state of the art in both fields is documented and extended. This workshop will explore not only the application of AI techniques to SE problems but also the application of SE techniques to AI problems.