Using Active Learning to Synthesize Models of Applications That Access Databases
We present Konure, a new system that uses active learning to infer models of applications that access relational databases. Konure comprises a domain-specific language (each model is a program in this language) and associated inference algorithm that infers models of applications whose behavior can be expressed in this language. The inference algorithm generates inputs and database contents, runs the application, then observes the resulting database traffic and outputs to progressively refine its current model hypothesis. Because the technique works with only externally observable inputs, outputs, and database contents, it can infer the behavior of applications written in arbitrary languages using arbitrary coding styles (as long as the behavior of the application is expressible in the domain-specific language). Konure also implements a regenerator that produces a translated Python implementation of the application that systematically includes relevant security and error checks.
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14:00 - 14:20 Talk | Resource-Guided Program Synthesis PLDI Research Papers Tristan KnothUniversity of California at San Diego, USA, Di WangCarnegie Mellon University, Nadia PolikarpovaUniversity of California, San Diego, Jan HoffmannCarnegie Mellon University Media Attached | ||
14:20 - 14:40 Talk | Using Active Learning to Synthesize Models of Applications That Access Databases PLDI Research Papers DOI Media Attached | ||
14:40 - 15:00 Talk | Synthesizing Database Programs for Schema Refactoring PLDI Research Papers Yuepeng WangUniversity of Texas at Austin, James DongUniversity of Texas at Austin, USA, Rushi ShahUT Austin, Isil DilligUT Austin Media Attached | ||
15:00 - 15:20 Talk | Synthesis and Machine Learning for Heterogeneous Extraction PLDI Research Papers Arun IyerMicrosoft Research, India, Manohar JonnalageddaInpher Inc., Switzerland, Suresh ParthasarathyMicrosoft Research, India, Arjun RadhakrishnaMicrosoft, Sriram RajamaniMicrosoft Research Media Attached |