(OOPSLA 2021) LooPy: interactive program synthesis with control structures
One vision for program synthesis, and specifically for programming by example (PBE), is an interactive programmer’s assistant, integrated into the development environment. To make program synthesis practical for interactive use, prior work on Small-Step Live PBE has proposed to limit the scope of synthesis to small code snippets, and enable the users to provide local specifications for those snippets. This paradigm, however, does not work well in the presence of loops. We present LooPy, a synthesizer integrated into a live programming environment, which extends Small-Step Live PBE to work inside loops and scales it up to synthesize larger code snippets, while remaining fast enough for interactive use. To allow users to effectively provide examples at various loop iterations, even when the loop body is incomplete, LooPy makes use of live execution, a technique that leverages the programmer as an oracle to step over incomplete parts of the loop. To enable synthesis of loop bodies at interactive speeds, LooPy introduces Intermediate State Graph, a new data structure, which compactly represents a large space of code snippets composed of multiple assignment statements and conditionals. We evaluate LooPy empirically using benchmarks from competitive programming and previous synthesizers, and show that it can solve a wide variety of synthesis tasks at interactive speeds. We also perform a small qualitative user study which shows that LooPy’s block-level specifications are easy for programmers to provide.
this URL might only work when visiting from a https://dl.acm.org/doi/10.1145/3485530 URL.
Thu 16 JunDisplayed time zone: Pacific Time (US & Canada) change
13:30 - 14:50
|(PLDI 2021) Phased Synthesis of Divide and Conquer Programs|
|(OOPSLA 2021) LooPy: interactive program synthesis with control structures|
Kasra Ferdowsifard University of California at San Diego, Shraddha Barke , Hila Peleg Technion, Sorin Lerner University of California at San Diego, Nadia Polikarpova University of California at San DiegoLink to publication DOI Authorizer link Pre-print
|(OOPSLA 2020) Feedback-Driven Semi-Supervised Synthesis of Program Transformations|
|(PLDI 2021) Proof Repair Across Type Equivalences|
Talia Ringer University of Illinois at Urbana-Champaign, RanDair Porter University of Washington, Nathaniel Yazdani University of Washington, Seattle, John Leo Halfaya Research, Dan Grossman University of WashingtonLink to publication DOI Authorizer link Pre-print