How to evaluate blame for gradual types

Author:

Lazarek Lukas1,Greenman Ben2,Felleisen Matthias2,Dimoulas Christos1

Affiliation:

1. Northwestern University, USA

2. Northeastern University, USA

Abstract

Programming language theoreticians develop blame assignment systems and prove blame theorems for gradually typed programming languages. Practical implementations of gradual typing almost completely ignore the idea of blame assignment. This contrast raises the question whether blame provides any value to the working programmer and poses the challenge of how to evaluate the effectiveness of blame assignment strategies. This paper contributes (1) the first evaluation method for blame assignment strategies and (2) the results from applying it to three different semantics for gradual typing. These results cast doubt on the theoretical effectiveness of blame in gradual typing. In most scenarios, strategies with imprecise blame assignment are as helpful to a rationally acting programmer as strategies with provably correct blame.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How Profilers Can Help Navigate Type Migration;Proceedings of the ACM on Programming Languages;2023-10-16

2. How to Evaluate Blame for Gradual Types, Part 2;Proceedings of the ACM on Programming Languages;2023-08-30

3. GTP Benchmarks for Gradual Typing Performance;Proceedings of the 2023 ACM Conference on Reproducibility and Replicability;2023-06-27

4. Deep and shallow types for gradual languages;Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2022-06-09

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