There has been a recent surge in interest in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work in probabilistic reasoning and machine learning for Software Engineering. As a result of this area, the software engineering community has adopted, adapted and exploited many of the practical algorithms, methods and techniques that have emerged from the AI community. In the other aspect, software repositories are growing exponentially, and new datacenters hosting tens of thousands of open source software projects are being developed around the world. The software engineering has truly entered the era of big data, which demand further more artificial intelligence techniques for software engineering.

We invite the submission of high quality papers describing original and significant work in all areas of big data in software engineering and artificial intelligence techniques for software engineering, including theoretical work, research on applications, empirical studies, and reports on industrial experience. Applications may be drawn from all aspects of software engineering (e.g., requirements engineering, software methodologies, software analytics, software testing and evolution, empirical studies, etc.) for developing applications in these domains concerning either functional or non-functional properties.

Artificial Intelligence Techniques may include, but are not limited to, computational search and optimisation techniques (Search Based Software Engineering, SBSE), fuzzy and probabilistic methods for reasoning in the presence of uncertainty, classification, learning and prediction in software engineering. We particularly encourage papers that describe software engineering applications to which AI has not previously been applied.

Submission Details

The submissions must have not been previously published or considered for publication elsewhere. Each submission should follow the Springer LNCS format with a restriction of no more than 15 pages, including everything (title, abstract, text, figures, tables, references and appendixes). Each submission will receive at least two high-quality reviews from our PCs. Each accepted submission must be registered by at least one author and presented at NASAC 2017. Accepted submissions will be published in Springer.

Submission site: easychair system.

Important dates

Track organizers

Program committee

TBA

Contact

Zheng Li,
Professor

College of Information Science and Technology,
Beijing University of Chemical Technology,
Beijing 100029, China.

e-mail: z dot li at ieee.org