Secrecy and Group Creation

AbstractWe add an operation of group creation to the typed pi-calculus, where a group is a type for channels. Creation of fresh groups has the effect of statically preventing certain communications, and can block the accidental or malicious leakage of secrets. We adapt a notion of secrecy introduced by Abadi, and prove a preservation of secrecy property. When applied to the ambient calculus, the same notion of group creation can be used to create and preserve shared secrets among mobile agents

Efficient asymmetric inclusion of regular expressions with interleaving and counting for XML type-checking

The inclusion of Regular Expressions (REs) is the kernel of any type-checking algorithm for XML manipulation languages. XML applications would benefit from the extension of REs with interleaving and counting, but this is not feasible in general, since inclusion is EXPSPACE-complete for such extended REs. In Colazzo et al. (2009) [1] we introduced a notion of ?conflict-free REs?, which are extended REs with excellent complexity behaviour, including a polynomial inclusion algorithm [1] and linear membership (Ghelli et al., 2008 [2]). Conflict-free REs have interleaving and counting, but the complexity is tamed by the ?conflict-free? limitations, which have been found to be satisfied by the vast majority of the content models published on the Web.However, a type-checking algorithm needs to compare machine-generated subtypes against human-defined supertypes. The conflict-free restriction, while quite harmless for the human-defined supertype, is far too restrictive for the subtype. We show here that the PTIME inclusion algorithm can be actually extended to deal with totally unrestricted REs with counting and interleaving in the subtype position, provided that the supertype is conflict-free.This is exactly the expressive power that we need in order to use subtyping inside type-checking algorithms, and the cost of this generalized algorithm is only quadratic, which is as good as the best algorithm we have for the symmetric case (see [1]). The result is extremely surprising, since we had previously found that symmetric inclusion becomes NP-hard as soon as the candidate subtype is enriched with binary intersection, a generalization that looked much more innocent than what we achieve here

XQuery!: An XML Query Language with Side Effects

Abstract. As XML applications become more complex, there is a growing interest in extending XQuery with side-effect operations, notably XML updates. However, the presence of side-effects is at odds with XQuery’s declarative semantics which leaves evaluation order unspecified. In this paper, we define “XQuery!”, an extension of XQuery 1.0 that supports first-class XML updates and user-level control over update application, preserving the benefits of XQuery’s declarative semantics when possible. Our extensions can be easily implemented within an existing XQuery processor and we show how to recover basic database optimizations for such a language.

A Type System for Interactive JSON Schema Inference (Extended Abstract)

In this paper we present the first JSON type system that provides the possibility of inferring a schema by adopting different levels of precision/succinctness for different parts of the dataset, under user control. This feature gives the data analyst the possibility to have detailed schemas for parts of the data of greater interest, while more succinct schema is provided for other parts, and the decision can be changed as many times as needed, in order to explore the schema in a gradual fashion, moving the focus to different parts of the collection, without the need of reprocessing data and by only performing type rewriting operations on the most precise schema

Schema Inference for Massive JSON Datasets

In the recent years JSON affirmed as a very popular data format for representing massive data collections. JSON data collections are usually schemaless. While this ensures sev- eral advantages, the absence of schema information has im- portant negative consequences: the correctness of complex queries and programs cannot be statically checked, users cannot rely on schema information to quickly figure out the structural properties that could speed up the formulation of correct queries, and many schema-based optimizations are not possible. In this paper we deal with the problem of inferring a schema from massive JSON datasets. We first identify a JSON type language which is simple and, at the same time, expressive enough to capture irregularities and to give com- plete structural information about input data. We then present our main contribution, which is the design of a schema inference algorithm, its theoretical study, and its implemen- tation based on Spark, enabling reasonable schema infer- ence time for massive collections. Finally, we report about an experimental analysis showing the effectiveness of our ap- proach in terms of execution time, precision, and conciseness of inferred schemas, and scalability

Typing Copyless Message Passing

We present a calculus that models a form of process interaction based on copyless message passing, in the style of Singularity OS. The calculus is equipped with a type system ensuring that well-typed processes are free from memory faults, memory leaks, and communication errors. The type system is essentially linear, but we show that linearity alone is inadequate, because it leaves room for scenarios where well-typed processes leak significant amounts of memory. We address these problems basing the type system upon an original variant of session types.Comment: 50 page

Efficient inclusion for a class of XML types with interleaving and counting

SUMMARY: Inclusion between XML types is important but expensive, and is much more expensive when unordered types are considered. We prove here that inclusion for XML types with interleaving and counting can be decided in polynomial time in the presence of two important restrictions: no element appears twice in the same content model, and Kleene star is only applied to disjunctions of single elements. Our approach is based on the transformation of each such content model into a set of constraints that completely characterizes the generated language. We then reduce inclusion checking to constraint implication. We exhibit a quadratic algorithm to perform inclusion checking on a RAM machine

Foundations for Extensible Objects with Roles

Object-oriented database systems are an emerging, promising technology, underpinned by the integration of ideas from object-oriented languages along with the specific needs of database applications. The fundamental reason for using such systems is that any real-world entity can be modeled by one object which matches its structure and behavior. To this end, the standard notion of object has to be augmented so that it can model the fact that an entity may acquire new pieces of structure and behavior during its existence, without changing its identity. To allow this extensibility in a statically typed system, a notion of context-dependent behavior (“role playing”) has to be added to the basic features of object-oriented languages. This feature is also a useful modeling device. Languages with role mechanisms have already been proposed. However, their design is full of choices which cannot be easily justified. A strong foundation for the object-with-roles notion would be extremely helpful to justify these choices and to understand, and prove, the properties of such a mechanism. In this paper we describe such a foundation, building on the object model proposed by Abadi and Cardelli. Key Words: Object-oriented languages, role

Divergence of Fsub type checking

System F-less than or equal to is an extension of second-order typed lambda calculus, where a subtype hierarchy among types is defined, and bounded second-order lambda abstraction is allowed. This language is a basis for much of the current research on integration of typed functional languages with subtypes and inheritance. An algorithm to perform type checking for F-less than or equal to expressions has been known since the language Fun was defined. The algorithm has been proved complete, by the author acid Curien, which means that it is a semi-decision procedure for the type-checking problem. In this paper we show that this algorithm is not a decision procedure, by exhibiting a term which makes it diverge. This result was the basis of Pierce's proof of undecidability of typing for F-less than or equal to. We study the behavior of the algorithm to show that our diverging judgement is in some sense contained in any judgement which makes the algorithm diverge. On the basis of this result, and of other results in the paper, we claim that the chances that the algorithm will loop while type-checking a ''real program'' are negligible. Hence, the undecidability of F-less than or equal to type-checking should not be considered as a reason to prevent the adoption of F-less than or equal to as a basis For defining programming languages of practical interest. Finally, we show the undecidability of an important subsystem of F-less than or equal to