Mon 24 Jun 2019 14:40 - 15:00 at 229AB - Synthesis Chair(s): Nuno P. Lopes

Many programs that interact with a database need to undergo schema refactoring several times during their life cycle. Since this process typically requires making significant changes to the program's implementation, schema refactoring is often non-trivial and error-prone. Motivated by this problem, we propose a new technique for automatically synthesizing a new version of a database program given its original version and the source and target schemas. Our method does not require manual user guidance and ensures that the synthesized program is equivalent to the original one. Furthermore, our method is quite efficient and can synthesize new versions of database programs (containing up to 263 functions) that are extracted from real-world web applications with an average synthesis time of 69.4 seconds.

Mon 24 Jun

Displayed time zone: Tijuana, Baja California change

14:00 - 15:30
SynthesisPLDI Research Papers at 229AB
Chair(s): Nuno P. Lopes Microsoft Research
14:00
20m
Talk
Resource-Guided Program Synthesis
PLDI Research Papers
Tristan Knoth University of California at San Diego, USA, Di Wang Carnegie Mellon University, Nadia Polikarpova University of California, San Diego, Jan Hoffmann Carnegie Mellon University
Media Attached
14:20
20m
Talk
Using Active Learning to Synthesize Models of Applications That Access Databases
PLDI Research Papers
Jiasi Shen Massachusetts Institute of Technology, Martin C. Rinard Massachusetts Institute of Technology
DOI Media Attached
14:40
20m
Talk
Synthesizing Database Programs for Schema Refactoring
PLDI Research Papers
Yuepeng Wang University of Texas at Austin, James Dong University of Texas at Austin, USA, Rushi Shah UT Austin, Isil Dillig UT Austin
Media Attached
15:00
20m
Talk
Synthesis and Machine Learning for Heterogeneous Extraction
PLDI Research Papers
Arun Iyer Microsoft Research, India, Manohar Jonnalagedda Inpher Inc., Switzerland, Suresh Parthasarathy Microsoft Research, India, Arjun Radhakrishna Microsoft, Sriram Rajamani Microsoft Research
Media Attached