NDLI: Type-based Exception Analysis for Non-strict Higher-order Functional Languages with Imprecise Exception Semantics

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Type-based Exception Analysis for Non-strict Higher-order Functional Languages with Imprecise Exception Semantics

Content Provider	ACM Digital Library
Author	Hage, Jurriaan Koot, Ruud
Abstract	Most statically typed functional programming languages allow programmers to write partial functions: functions that are not defined on all the elements of their domain as specified by their type. Applying a partial function to a value on which it is not defined will raise a run-time exception, thus in practice well-typed programs can and do still go wrong. To warn programmers about such errors, contemporary compilers for functional languages employ a local and purely syntactic analysis to detect partial case-expressions--those that do not cover all possible patterns of constructors. As programs often maintain invariants on their data, restricting the potential values of the scrutinee to a subtype of its given or inferred type, many of these incomplete case-expressions are harmless. Such an analysis does not account for these invariants and will thus report many false positives, overwhelming the programmer. We develop a constraint-based type system that detects harmful sources of partiality and prove it correct with respect to an imprecise exception semantics. The analysis accurately tracks the flow of both exceptions--the manifestation of partiality gone wrong--and ordinary data through the program, as well as the dependencies between them. The latter is crucial for usable precision, but has been omitted from previously published exception analyses.
Starting Page	127
Ending Page	138
Page Count	12
File Format	PDF
ISBN	9781450332972
DOI	10.1145/2678015.2682542
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-01-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Imprecise exceptions Pattern-matching Exception analysis Type-based program analysis
Content Type	Text
Resource Type	Article

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