- “API Code Recommendation using Statistical Learning from Fine-Grained Changes” by Anh Tuan Nguyen; Michael Hilton; Mihai Codoban, Microsoft; Hoan Anh Nguyen; Lily Mast; Eli Rademacher; Tien N. Nguyen, Microsoft; Danny Dig
- “Deep API Learning” by Xiaodong Gu; Hongyu Zhang; Dongmei Zhang, Microsoft Research; Sunghun Kim
- “Multi-representational Security Analysis” by Eunsuk Kang; Aleksandar Milicevic, Microsoft; Daniel Jackson
- “Build System with Lazy Retrieval for Java Projects” by Ahmet Celik; Alex Knaust; Aleksandar Milicevic, Microsoft; Milos Gligoric
- “Semi-supervised Verified Feedback Generation” by Shalini Kaleeswaran; Anirudh Santhiar; Aditya Kanade; Sumit Gulwani, Microsoft
TOOL DEMONSTRATIONS
- “Time-Travel Debugging for JavaScript/Node.js” by Earl T. Barr; Mark Marron, Microsoft Research; Ed Maurer, Dan Moseley, and Gaurav Seth, Microsoft
INDUSTRIAL RESEARCH
- “Bing Developer Assistant: Improving Developer Productivity by Recommending Sample Code” by Hongyu Zhang; Anuj Jain, Gaurav Khandelwal, and Chandrashekhar Kaushik, Microsoft Research; Scott Ge, Microsoft; Wenxiang Hu