A conceptual framework for safe object initialization: a principled and mechanized soundness proof of the Celsius model - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Proceedings of the ACM on Programming Languages Year : 2022

A conceptual framework for safe object initialization: a principled and mechanized soundness proof of the Celsius model

Abstract

An object under initialization does not fulfill its class specification yet and can be unsafe to use as it may have uninitialized fields. It can sometimes be useful to call methods on such a partially initialized object in order to compute a complex initial value, or to let the object escape its constructor in order to create mutually recursive objects. However, inadvertent usage of uninitialized fields can lead to run-time crashes. Those subtle programming errors are not statically detected by most modern compilers. While many other features of object-oriented programming languages have been thoroughly studied over the years, object initialization lacks a simple, systematic, and principled treatment. Building on the insights of previous work, we identify a set of four core principles for safe initialization: monotonicity, authority, stackability, and scopability. We capture the essence of the principles with a minimal calculus, Celsius, and show that the principles give rise to a practical initialization system that strikes a balance between expressiveness and simplicity. The meta-theory of the system is entirely mechanized using the Coq proof assistant. We believe that our approach based on well-identified core principles sheds new light on the underlying mechanisms ensuring safety and could serve as a basis for language design when faced with similar challenges.

Dates and versions

hal-03902583 , version 1 (16-12-2022)

Identifiers

Cite

Clément Blaudeau, Fengyun Liu. A conceptual framework for safe object initialization: a principled and mechanized soundness proof of the Celsius model. Proceedings of the ACM on Programming Languages, 2022, 6 (OOPSLA2), pp.729-757. ⟨10.1145/3563314⟩. ⟨hal-03902583⟩
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