Dynamic witnesses for static type errors (or, ill-typed programs usually go wrong)

Abstract

Static type errors are a common stumbling block for newcomers to typed functional languages. We present a dynamic approach to explaining type errors by generating counterexample witness inputs that illustrate how an ill-typed program goes wrong. First, given an ill-typed function, we symbolically execute the body to synthesize witness values that make the program go wrong. We prove that our procedure synthesizes general witnesses in that if a witness is found, then for all inhabited input types, there exist values that can make the function go wrong. Second, we show how to extend the above procedure to produce a reduction graph that can be used to interactively visualize and debug witness executions. Third, we evaluate the coverage of our approach on two data sets comprising over 4,500 ill-typed student programs. Our technique is able to generate witnesses for 88% of the programs, and our reduction graph yields small counterexamples for 81% of the witnesses. Finally, we evaluate whether our witnesses help students understand and fix type errors, and find that students presented with our witnesses show a greater understanding of type errors than those presented with a standard error message.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 04, 2016
Source ID
10.1145/3022670.2951915

Entities

People

  • Eric L. Seidel
  • Ranjit Jhala
  • Westley Weimer

Organizations

  • National Science Foundation
  • United States Air Force
  • University of California, San Diego
  • University of Virginia

Tags

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computer Science.
  • Educational Psychology