First-Class Effect Reflection for Effect-Guided Programming

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Abstract

This paper introduces a novel type-and-effect calculus, first-class effects, where the computational effect of an expression can be programmatically reflected, passed around as values, and analyzed at run time. A broad range of designs "hard-coded" in existing effect-guided analyses — from thread scheduling, version-consistent software updating, to data zeroing — can be naturally supported through the programming abstractions. The core technical development is a type system with a number of features, including a hybrid type system that integrates static and dynamic effect analyses, a refinement type system to verify application-specific effect management properties, a double-bounded type system that computes both over-approximation of effects and their under-approximation. We introduce and establish a notion of soundness called trace consistency, defined in terms of how the effect and trace correspond. The property sheds foundational insight on "good" first-class effect programming.

Bib Info


@inproceedings{Long-Liu-Rajan-16,
  author = {Yuheng Long and Yu David Liu and Hridesh Rajan},
  title = {First-Class Effect Reflection for Effect-Guided Programming},
  booktitle = {OOPSLA'16: The ACM SIGPLAN conference on Object-Oriented Programming, Systems, Languages, and Applications},
  series = {OOPSLA'16},
  location = {Amsterdam, Netherlands},
  month = {November},
  year = {2016},
}