Results 1  10
of
14
A bisimulation for dynamic sealing
 In Proceedings 31st Annual ACM Symposium on Principles of Programming Languages
, 2004
"... We define λseal, an untyped callbyvalue λcalculus with primitives for protecting abstract data by sealing, and develop a bisimulation proof method that is sound and complete with respect to contextual equivalence. This provides a formal basis for reasoning about data abstraction in open, dynamic ..."
Abstract

Cited by 42 (6 self)
 Add to MetaCart
We define λseal, an untyped callbyvalue λcalculus with primitives for protecting abstract data by sealing, and develop a bisimulation proof method that is sound and complete with respect to contextual equivalence. This provides a formal basis for reasoning about data abstraction in open, dynamic settings where static techniques such as type abstraction and logical relations are not applicable.
A fully abstract may testing semantics for concurrent objects
 In Proceedings of LICS ’02. IEEE, Computer
, 2002
"... This paper provides a fully abstract semantics for a variant of the concurrent object calculus. We define may testing for concurrent object components and then characterise it using a trace semantics inspired by UML interaction diagrams. The main result of this paper is to show that the trace semant ..."
Abstract

Cited by 38 (4 self)
 Add to MetaCart
This paper provides a fully abstract semantics for a variant of the concurrent object calculus. We define may testing for concurrent object components and then characterise it using a trace semantics inspired by UML interaction diagrams. The main result of this paper is to show that the trace semantics is fully abstract for may testing. This is the first such result for a concurrent object language. 1.
Environmental bisimulations for higherorder languages
 In TwentySecond Annual IEEE Symposium on Logic in Computer Science
, 2007
"... Developing a theory of bisimulation in higherorder languages can be hard. Particularly challenging can be: (1) the proof of congruence, as well as enhancements of the bisimulation proof method with “upto context ” techniques, and (2) obtaining definitions and results that scale to languages with d ..."
Abstract

Cited by 35 (10 self)
 Add to MetaCart
Developing a theory of bisimulation in higherorder languages can be hard. Particularly challenging can be: (1) the proof of congruence, as well as enhancements of the bisimulation proof method with “upto context ” techniques, and (2) obtaining definitions and results that scale to languages with different features. To meet these challenges, we present environmental bisimulations, a form of bisimulation for higherorder languages, and its basic theory. We consider four representative calculi: pure λcalculi (callbyname and callbyvalue), callbyvalue λcalculus with higherorder store, and then HigherOrder πcalculus. In each case: we present the basic properties of environmental bisimilarity, including congruence; we show that it coincides with contextual equivalence; we develop some upto techniques, including upto context, as examples of possible enhancements of the associated bisimulation method. Unlike previous approaches (such as applicative bisimulations, logical relations, SumiiPierceKoutavasWand), our method does not require induction/indices on evaluation derivation/steps (which may complicate the proofs of congruence, transitivity, and the combination with upto techniques), or sophisticated methods such as Howe’s for proving congruence. It also scales from the pure λcalculi to the richer calculi with simple congruence proofs. 1
From Applicative to Environmental Bisimulation
 MFPS 2011
, 2011
"... We illuminate important aspects of the semantics of higherorder functions that are common in the presence of local state, exceptions, names and type abstraction via a series of examples that add to those given by Stark. Most importantly we show that any of these language features gives rise to the ..."
Abstract

Cited by 4 (1 self)
 Add to MetaCart
We illuminate important aspects of the semantics of higherorder functions that are common in the presence of local state, exceptions, names and type abstraction via a series of examples that add to those given by Stark. Most importantly we show that any of these language features gives rise to the phenomenon that certain behaviour of higherorder functions can only be observed by providing them with arguments which internally call the functions again. Other examples show the need for the observer to accumulate values received from the program and generate new names. This provides evidence for the necessity of complex conditions for functions in the definition of environmental bisimulation, which deviates in each of these ways from that of applicative bisimulation.
Abstract Adding Recursion to Dpi
"... Dpi is a distributed version of the picalculus, in which processes are explicitly located, and a migration construct may be used for moving between locations. We argue that adding a recursion operator to the language increases significantly its descriptive power. But typing recursive processes requ ..."
Abstract

Cited by 2 (0 self)
 Add to MetaCart
Dpi is a distributed version of the picalculus, in which processes are explicitly located, and a migration construct may be used for moving between locations. We argue that adding a recursion operator to the language increases significantly its descriptive power. But typing recursive processes requires the use of potentially infinite types. We show that the capabilitybased typing system of Dpi can be extended to coinductive types so that recursive processes can be successfully supported. We also show that, as in the picalculus, recursion can be implemented via iteration. This translation improves on the standard ones by being compositional but still requires coinductive types and comes with a significant migration overhead in our distributed setting.
Contextual equivalence for higherorder πcalculus revisited
 Proceedings of the 19th Conference on Mathematical Foundations of Programming Semantics (MFPS’04). Volume 83 of Electronic Notes in Theoretical Computer Science., Elsevier (2004) 26. Merro, M., Nardelli, F.Z.: Bisimulation
, 2003
"... Vol. 1 (1:4) 2005, pp. 1–22 ..."
A Compositional Theory for STM Haskell
"... We address the problem of reasoning about Haskell programs that use Software Transactional Memory (STM). As a motivating example, we consider Haskell code for a concurrent nondeterministic tree rewriting algorithm implementing the operational semantics of the ambient calculus. The core of our theor ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
We address the problem of reasoning about Haskell programs that use Software Transactional Memory (STM). As a motivating example, we consider Haskell code for a concurrent nondeterministic tree rewriting algorithm implementing the operational semantics of the ambient calculus. The core of our theory is a uniform model, in the spirit of process calculi, of the runtime state of multithreaded STM Haskell programs. The model was designed to simplify both local and compositional reasoning about STM programs. A single reduction relation captures both pure functional computations and also effectful computations in the STM and I/O monads. We state and prove liveness, soundness, completeness, safety, and termination properties relating source processes and their Haskell implementation. Our proof exploits various ideas from concurrency theory, such as the bisimulation technique, but in the setting of a widely used programming language rather than an abstract process calculus. Additionally, we develop an equational theory for reasoning about STM Haskell programs, and establish for the first time equations conjectured by the designers of STM Haskell. We conclude that using a pure functional language extended with STM facilitates reasoning about concurrent implementation code.
On Correctness of Buffer Implementations in a Concurrent Lambda Calculus with Futures
, 2009
"... Abstract. Motivated by the question of correctness of a specific implementation of concurrent buffers in the lambda calculus with futures underlying Alice ML, we prove that concurrent buffers and handled futures can correctly encode each other. Correctness means that our encodings preserve and refle ..."
Abstract
 Add to MetaCart
Abstract. Motivated by the question of correctness of a specific implementation of concurrent buffers in the lambda calculus with futures underlying Alice ML, we prove that concurrent buffers and handled futures can correctly encode each other. Correctness means that our encodings preserve and reflect the observations of may and mustconvergence. This also shows correctness wrt. program semantics, since the encodings are adequate translations wrt. contextual semantics. While these translations encode blocking into queuing and waiting, we also provide an adequate encoding of buffers in a calculus without handles, which is more lowlevel and uses busywaiting instead of blocking. Furthermore we demonstrate that our correctness concept applies to the whole compilation process from highlevel to lowlevel concurrent languages, by translating the calculus with buffers, handled futures and data constructors into a small core language without those constructs. 1
Program Equivalence for a Concurrent Lambda Calculus with Futures
, 2006
"... Abstract. Reasoning about the correctness of program transformations requires a notion of program equivalence. We present an observational semantics for the concurrent lambda calculus with futures λ(fut), which formalizes the operational semantics of the programming language Alice ML. We show that n ..."
Abstract
 Add to MetaCart
Abstract. Reasoning about the correctness of program transformations requires a notion of program equivalence. We present an observational semantics for the concurrent lambda calculus with futures λ(fut), which formalizes the operational semantics of the programming language Alice ML. We show that natural program optimizations, as well as partial evaluation with respect to deterministic rules, are correct for λ(fut). This relies on a number of fundamental properties that we establish for our observational semantics. 1
found at the ENTCS Macro Home Page. Observational Semantics for a Concurrent Lambda Calculus with Reference Cells and Futures
, 2007
"... Replace this file with prentcsmacro.sty for your meeting, or with entcsmacro.sty for your meeting. Both can be ..."
Abstract
 Add to MetaCart
Replace this file with prentcsmacro.sty for your meeting, or with entcsmacro.sty for your meeting. Both can be