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A concurrent constraint programming interpretation of access permissions

Published online by Cambridge University Press:  10 April 2018

CARLOS OLARTE ,
ELAINE PIMENTEL  and
CAMILO RUEDA
CARLOS OLARTE
Affiliation:
ECT, Universidade Federal do Rio Grande do Norte, Natal-RN, Brazil (e-mail: carlos.olarte@gmail.com)
ELAINE PIMENTEL
Affiliation:
DMAT, Universidade Federal do Rio Grande do Norte, Natal-RN, Brazil (e-mail: elaine.pimentel@gmail.com)
CAMILO RUEDA
Affiliation:
DECC, Pontificia Universidad Javeriana Cali, Valle del Cauca, Colombia (e-mail: camilo.rueda@gmail.com)
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Abstract

A recent trend in object-oriented programming languages is the use of access permissions (APs) as an abstraction for controlling concurrent executions of programs. The use of AP source code annotations defines a protocol specifying how object references can access the mutable state of objects. Although the use of APs simplifies the task of writing concurrent code, an unsystematic use of them can lead to subtle problems. This paper presents a declarative interpretation of APs as linear concurrent constraint programs (lcc). We represent APs as constraints (i.e., formulas in logic) in an underlying constraint system whose entailment relation models the transformation rules of APs. Moreover, we use processes in lcc to model the dependencies imposed by APs, thus allowing the faithful representation of their flow in the program. We verify relevant properties about AP programs by taking advantage of the interpretation of lcc processes as formulas in Girard's intuitionistic linear logic (ILL). Properties include deadlock detection, program correctness (whether programs adhere to their AP specifications or not), and the ability of methods to run concurrently. By relying on a focusing discipline for ILL, we provide a complexity measure for proofs of the above-mentioned properties. The effectiveness of our verification techniques is demonstrated by implementing the Alcove tool that includes an animator and a verifier. The former executes the lcc model, observing the flow of APs, and quickly finding inconsistencies of the APs vis-à-vis the implementation. The latter is an automatic theorem prover based on ILL.

Keywords

access permissionsconcurrent constraint programminglinear logicfocusing
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 18 , Special Issue 2: Computational Logic for Verification , March 2018 , pp. 252 - 295
Copyright
Copyright © Cambridge University Press 2018 

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