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Program Analysis and Specialization for the C Programming Language
, 1994
"... Software engineers are faced with a dilemma. They want to write general and wellstructured programs that are flexible and easy to maintain. On the other hand, generality has a price: efficiency. A specialized program solving a particular problem is often significantly faster than a general program. ..."
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Cited by 621 (0 self)
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Software engineers are faced with a dilemma. They want to write general and wellstructured programs that are flexible and easy to maintain. On the other hand, generality has a price: efficiency. A specialized program solving a particular problem is often significantly faster than a general program. However, the development of specialized software is timeconsuming, and is likely to exceed the production of today’s programmers. New techniques are required to solve this socalled software crisis. Partial evaluation is a program specialization technique that reconciles the benefits of generality with efficiency. This thesis presents an automatic partial evaluator for the Ansi C programming language. The content of this thesis is analysis and transformation of C programs. We develop several analyses that support the transformation of a program into its generating extension. A generating extension is a program that produces specialized programs when executed on parts of the input. The thesis contains the following main results.
A Syntactic Approach to Type Soundness
 INFORMATION AND COMPUTATION
, 1992
"... We present a new approach to proving type soundness for Hindley/Milnerstyle polymorphic type systems. The keys to our approach are (1) an adaptation of subject reduction theorems from combinatory logic to programming languages, and (2) the use of rewriting techniques for the specification of the la ..."
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Cited by 617 (22 self)
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We present a new approach to proving type soundness for Hindley/Milnerstyle polymorphic type systems. The keys to our approach are (1) an adaptation of subject reduction theorems from combinatory logic to programming languages, and (2) the use of rewriting techniques for the specification of the language semantics. The approach easily extends from polymorphic functional languages to imperative languages that provide references, exceptions, continuations, and similar features. We illustrate the technique with a type soundness theorem for the core of Standard ML, which includes the first type soundness proof for polymorphic exceptions and continuations.
Introduction to the ISO specification language Lotos
 Computer Networks
, 1988
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Universal coalgebra: a theory of systems
, 2000
"... In the semantics of programming, nite data types such as finite lists, have traditionally been modelled by initial algebras. Later final coalgebras were used in order to deal with in finite data types. Coalgebras, which are the dual of algebras, turned out to be suited, moreover, as models for certa ..."
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Cited by 397 (42 self)
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In the semantics of programming, nite data types such as finite lists, have traditionally been modelled by initial algebras. Later final coalgebras were used in order to deal with in finite data types. Coalgebras, which are the dual of algebras, turned out to be suited, moreover, as models for certain types of automata and more generally, for (transition and dynamical) systems. An important property of initial algebras is that they satisfy the familiar principle of induction. Such a principle was missing for coalgebras until the work of Aczel (NonWellFounded sets, CSLI Leethre Notes, Vol. 14, center for the study of Languages and information, Stanford, 1988) on a theory of nonwellfounded sets, in which he introduced a proof principle nowadays called coinduction. It was formulated in terms of bisimulation, a notion originally stemming from the world of concurrent programming languages. Using the notion of coalgebra homomorphism, the definition of bisimulation on coalgebras can be shown to be formally dual to that of congruence on algebras. Thus, the three basic notions of universal algebra: algebra, homomorphism of algebras, and congruence, turn out to correspond to coalgebra, homomorphism of coalgebras, and bisimulation, respectively. In this paper, the latter are taken
The Oz Programming Model
 COMPUTER SCIENCE TODAY, LECTURE NOTES IN COMPUTER SCIENCE
, 1995
"... The Oz Programming Model (OPM) is a concurrent programming model subsuming higherorder functional and objectoriented programming as facets of a general model. This is particularly interesting for concurrent objectoriented programming, for which no comprehensive formal model existed until now. ..."
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Cited by 312 (11 self)
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The Oz Programming Model (OPM) is a concurrent programming model subsuming higherorder functional and objectoriented programming as facets of a general model. This is particularly interesting for concurrent objectoriented programming, for which no comprehensive formal model existed until now. The model
Relations in Concurrency
"... The theme of this paper is profunctors, and their centrality and ubiquity in understanding concurrent computation. Profunctors (a.k.a. distributors, or bimodules) are a generalisation of relations to categories. Here they are first presented and motivated via spans of event structures, and the seman ..."
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Cited by 304 (36 self)
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The theme of this paper is profunctors, and their centrality and ubiquity in understanding concurrent computation. Profunctors (a.k.a. distributors, or bimodules) are a generalisation of relations to categories. Here they are first presented and motivated via spans of event structures, and the semantics of nondeterministic dataflow. Profunctors are shown to play a key role in relating models for concurrency and to support an interpretation as higherorder processes (where input and output may be processes). Two recent directions of research are described. One is concerned with a language and computational interpretation for profunctors. This addresses the duality between input and output in profunctors. The other is to investigate general spans of event structures (the spans can be viewed as special profunctors) to give causal semantics to higherorder processes. For this it is useful to generalise event structures to allow events which “persist.”
LUSTRE: A declarative language for programming synchronous systems
 In 14th Symposium on Principles of Programming Languages (POPL’87). ACM
, 1987
"... LUSTRE is a synchronous dataflow language for programming syetema which interact. with their environments in realtime. After an informal presentation of the language, we describe its semantics by means of structural inference rules. Moreover, we ehow how to use this semantics in order to generate ..."
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Cited by 283 (19 self)
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LUSTRE is a synchronous dataflow language for programming syetema which interact. with their environments in realtime. After an informal presentation of the language, we describe its semantics by means of structural inference rules. Moreover, we ehow how to use this semantics in order to generate efficient, sequential code, namely, a finite state automaton which represents the control of the program. Formal rules for program transformation are also presented.
The slam calculus: programming with secrecy and integrity
 In POPL ’98: Proceedings of the 25th ACM SIGPLANSIGACT Symposium on Principles of Programming Languages
, 1998
"... The SLam calculus is a typed λcalculus that maintains security information as well as type information. The type system propagates security information for each object in four forms: the object’s creators and readers, and the object’s indirect creators and readers (i.e., those agents who, through f ..."
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Cited by 274 (1 self)
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The SLam calculus is a typed λcalculus that maintains security information as well as type information. The type system propagates security information for each object in four forms: the object’s creators and readers, and the object’s indirect creators and readers (i.e., those agents who, through flowofcontrol or the actions of other agents, can influence or be influenced by the content of the object). We prove that the type system prevents security violations and give some examples of its power. 1