We present an actor language which is an extension of a simple functional language, and provide an operational semantics for this extension. Actor configurations represent open distributed systems, by which we mean that the specification of an actor system explicitly takes into account the interface with external components. We study the composability of such systems. We define and study various notions of testing equivalence on actor expressions and configurations. The model we develop provides fairness. An important result is that the three forms of equivalence, namely, convex, must, and may equivalences, collapse to two in the presence of fairness. We further develop methods for proving laws of equivalence and provide example proofs to illustrate our methodology.

This paper shows how type effect systems can be combined with model-checking techniques to produce powerful, automatically verifiable program logics for higher-order programs. The properties verified are based on the ordered sequence of events that occur during program execution-an event history. Our type and effect systems automatically infer conservative approximations of the event histories arising at run-time, and model-checking techniques are used to verify logical properties of these histories. Our language model is based on the λ-calculus. Technical results include a powerful type inference algorithm for a polymorphic type effect system, and a method for applying known model-checking techniques to the history effects inferred by the type inference algorithm, allowing static enforcement of history-and stackbased security mechanisms.

Abstract. The Java JDK 1.2 Security Architecture includes a dynamic mechanism for enforcing access control checks, so-called stack inspection. This paper studies type systems which can statically guarantee the success of these checks. We develop these systems using a new, systematic methodology: we show that the security-passing style translation, proposed by Wallach and Felten as a dynamic implementation technique, also gives rise to static security-aware type systems, by composition with conventional type systems. To define the latter, we use the general HM(X) framework, and easily construct several constraint-and unification-based type systems. They offer significant improvements on a previous type system for JDK access control, both in terms of expressiveness and in terms of readability of inferred type specifications.

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Abstract. Precise type information is invaluable for analysis and optimization of object-oriented programs. Some forms of polymorphism found in object-oriented languages pose significant difficulty for type inference, in particular data polymorphism. Agesen's Cartesian Product Algorithm (CPA) can analyze programs with parametric polymorphism in a reasonably precise and efficient manner, but CPA loses precision for programs with data polymorphism. This paper presents a precise constraintbased type inference system for Java. It uses Data-Polymorphic CPA (DCPA), a novel constraint-based type inference algorithm which extends CPA with the ability to accurately and efficiently analyze data polymorphic programs. The system is implemented for the full Java language, and is used to statically verify the correctness of Java downcasts. Benchmark results are given which show that DCPA is significantly more accurate than CPA and the efficiency of DCPA is close to CPA.

In this paper we introduce a variable typed logic of effects inspired by the variable type systems of Feferman for purely functional languages. VTLoE (Variable Typed Logic of Effects) is introduced in two stages. The first stage is the first-order theory of individuals built on assertions of equality (operational equivalence à la Plotkin), and contextual assertions. The second stage extends the logic to include classes and class membership. The logic we present provides an expressive language for defining and studying properties of programs including program equivalences, in a uniform framework. The logic combines the features and benefits of equational calculi as well as program and specification logics. In addition to the usual first-order formula constructions, we add contextual assertions. Contextual assertions generalize Hoare′s triples in that they can be nested, they can be used as assumptions, and their free variables can be quantified. They are similar in spirit to program modalities in dynamic logic. We use the logic to establish the validity of the Meyer Sieber examples in an operational setting. The theory allows for the construction of inductively defined sets and derivation of the corresponding induction principles. We hope that classes may serve as a starting point for studying semantic notions of type. Naive attempts to represent ML types as classes fail in the sense that ML inference rules are not valid

A polymorphic, constraint-based type inference algorithm for an object-oriented language is defined. A generalized form of type, polymorphic recursive/y constrained types, are inferred.'These types are expressive enough for typing objects, since they generalize recursive tvpes and F-bounded polymorphism.The well-known tradeoff between inheritance and subtyping is mitigated bv the type inference mechanism.Soundness and completeness of type inference are established.

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