Duplication and partial evaluation

This paper presents a general implementation framework for reflective languages. It allows us to systematically build reflective languages which have the following favorable properties: (1) user programs are allowed to access and change (parts of) metalevel interpreters, (2) reflective facilities are available at every level, (hence there exists conceptually an infinite tower of interpreters), and (3) the interpreter runs as efficiently as the conventional (directly implemented) metacircular interpreter when reflection is not used. Our scheme is divided into three stages. First, we define interpreters which give the operational semantics of each level, and conceptually construct the infinite tower of these interpreters. They are thenduplicated to obtain directly executed interpreters, while introducing double interpretation to maintain redefinability of interpreters. Finally, partial evaluation is employed to collapse the double interpretation into single interpretation. We illustrate our scheme by implementing a particular reflective language calledBlack in Scheme, but it is general enough to be applied to other reflective languages. The paper gives the complete Scheme implementation of Black and demonstrates some examples. We also show how a system with the delta abstraction introduced by Blond can be constructed in our framework.     

The mystery of the tower revealed: A nonreflective description of the reflective tower

In an important series of papers [8, 9], Brian Smith has discussed the nature of programs that know about their text and the context in which they are executed. He called this kind of knowledgereflection. Smith proposed a programming language, called 3-LISP, which embodied such self-knowledge in the domain of metacircular interpreters. Every 3-LISP program is interpreted by a metacircular interpreter, also written in 3-LISP. This gives rise to a picture of an infinite tower of metacircular interpreters, each being interpreted by the one above it. Such a metaphor poses a serious challenge for conventional modes of understanding of programming languages. In our earlier work on reflection [4], we showed how a useful species of reflection could be modeled without the use of towers. In this paper, we give a semantic account of the reflective tower. This account is self-contained in the sense that it does not employ reflection to explain reflection.     

Towards Language-Agnostic Mobile Code

The Java Virtual Machine is primarily designed for transporting Java programs. As a consequence, when JVM bytecodes are used to transport programs in other languages, the result becomes less acceptable the more the source language diverges from Java. Microsoft's .NET transport format fares better in this respect because it has a more flexible type system and instruction set, but it is not extensible, and (for example) has no provision for supporting explicit programmer-specified parallelism. Both platforms have difficulty making transported programs run efficiently.This paper discusses first steps towards mobile code representations that are independent (in the sense that the representation can be appropriately parameterized) of the source language (e.g., Java), intermediate representation (e.g., bytecode), and target architecture (e.g., x86). We call this kind of parameterizable framework language-agnostic.We present two techniques which provide parts of the envisioned language-agnostic functionality. Compressed abstract syntax trees as a wire format provide for a very dense encoding of programs at a high level of abstraction. We show how to parameterize the compression algorithm in a modular fashion with knowledge beyond the purely syntactical level. This leads to the notion of well-formedness by construction. The second technique defines the semantics of programs by mapping from abstract syntax trees to a typed core calculus representation. Based on this representation it becomes possible to use portable definitions of security policies and to execute programs written in different source languages, even if a more efficient trusted native compiler is not available on the target platform.     

RTC: Language support for real-time concurrency

This paper presents a model and language constructs for expressing timing and concurrency requirements in distributed real-time programs. Our approach combines an abstract data type paradigm for the specification of shared resources and a distributed transaction-based paradigm for the specification of application processes. Resources provide abstract views of shared system entities, such as devices and data structures. Each resource has a state and defines a set ofactions that can be invoked by processes to examine or change its state. A resource also specifies scheduling constraints on the execution of its actions to ensure its consistency. Processes access resources by invoking actions and by expressing precedence, execution and timing constraints on action invocations. The implementation of our language constructs and the use of this system to control the simulation of a distributed robotics application is also described.This work is supported in part by the following grants: ARO DAAG-29-84-k-0061, ONR N000014-89-J-1131, and NSF CCR90-14621.     

Directly reflective meta-programming

Existing meta-programming languages operate on encodings of programs as data. This paper presents a new meta-programming language, based on an untyped lambda calculus, in which structurally reflective programming is supported directly, without any encoding. The language features call-by-value and call-by-name lambda abstractions, as well as novel reflective features enabling the intensional manipulation of arbitrary program terms. The language is scope safe, in the sense that variables can neither be captured nor escape their scopes. The expressiveness of the language is demonstrated by showing how to implement quotation and evaluation operations, as proposed by Wand. The language’s utility for meta-programming is further demonstrated through additional representative examples. A prototype implementation is described and evaluated.     

Two-level grammar as an implementable metalanguage for axiomatic semantics

Two-level grammars can define the syntax and the operational semantics of programming languages and these definitions are directly executable by interpretation. In this paper it is shown that axiomatic semantics can also be defined using a two-level grammar with the result being a partially automatic program verification system accomplished within the framework of a language definition. These results imply that a programming language can be defined operationally and axiomatically together in complementary definitions as advocated by Hoare and Lauer. Because two-level grammars are executable, these complementary definitions accomplish a system for interpreting and verifying programs.     

Future scientific programming on parallel machines

A language for large scientific applications should facilitate encoding and debugging of programs at the highest level possible. At the same time it should facilitate generation of efficient code for parallel machines. Often these two requirements are conflicting, and trade-offs must be made. Functional and other declarative languages offer relief on both counts. The use of higher-order functions, especially in carried forms, can raise the level of programming dramatically. In addition, such languages often have straightforward operational semantics, thereby providing tremendous opportunities for parallel execution. Programs written in declarative languages thus eliminate the problem of “detecting parallelism.” This paper illustrates programming in one such language, Id Nouveau, and contrasts it with programming in Fortran. Using an excerpt from an application known as Simple, it is shown how a program can be composed in Id Nouveau from small functions that directly relate to the mathematical and physical concepts of the problem. The difficulty of expressing these concepts in Fortran is discussed. Finally, it is shown that by performing simple transformations, such as in-line substitution of functions, the resulting Id Nouveau code becomes as efficient as an equivalent Fortran program written to run efficiently on a parallel machine.     

Compiler to interpreter: experiences with a distributed programming language

One interpretive approach for handling concurrency is to provide an interpreter instance for each executing language‐level process. Such an approach has mainly been applied to concurrent implementations of logic and functional languages. This paper describes the use of this approach in constructing an interpreter for an imperative, distributed programming language from an existing compiler and run‐time support system (RTS). Primary design goals were to exploit the existing compiler to the extent possible as well as to have minimal impact on the RTS used to support concurrency. We have been successful in meeting these goals. Additionally, performance results show our interpreter's execution times compare favorably to the times required for compilation, linkage, and execution of small programs or programs with a significant number of calls to the RTS; on such programs, our interpreter's performance also compares favorably to that of the standard Java implementation. However, for larger programs and programs with fewer calls to the underlying RTS, the conventional compiler‐based implementation outperforms the interpreter implementation. For many distributed programs in which network costs dominate, the performances of the two implementations differ little. Copyright © 2001 John Wiley & Sons, Ltd.     

A Rewriting Logic Approach to Operational Semantics (Extended Abstract)

This paper shows how rewriting logic semantics (RLS) can be used as a computational logic framework for operational semantic definitions of programming languages. Several operational semantics styles are addressed: big-step and small-step structural operational semantics (SOS), modular SOS, reduction semantics with evaluation contexts, and continuation-based semantics. Each of these language definitional styles can be faithfully captured as an RLS theory, in the sense that there is a one-to-one correspondence between computational steps in the original language definition and computational steps in the corresponding RLS theory. A major goal of this paper is to show that RLS does not force or pre-impose any given language definitional style, and that its flexibility and ease of use makes RLS an appealing framework for exploring new definitional styles.     

Implementation of visual languages using pattern‐based specifications

The implementation of visual languages requires a wide range of conceptual and technical knowledge from issues of user interface design and graphical implementation to aspects of analysis and transformation for languages in general. We present a powerful toolset that incorporates such knowledge. Our toolset generates editors from high‐level specifications. A language is specified by identifying certain patterns in the language structure and selecting a visual representation from a set of precoined solutions. Visual programs are represented by attributed abstract trees. Therefore, further phases of processing visual programs can be generated by state‐of‐the‐art tools for language implementation. We demonstrate that even challenging visual languages can be implemented with reasonably little effort and with rather limited technical knowledge. The approach is suitable for a large variety of visual language styles. Copyright © 2003 John Wiley & Sons, Ltd.     

Tree Tuple Languages from the Logic Programming Point of View

We introduce inductive definitions over language expressions as a framework for specifying tree tuple languages. Inductive definitions and their subclasses correspond naturally to classes of logic programs, and operations on tree tuple languages correspond to the transformation of logic programs. We present an algorithm based on unfolding and definition introduction that is able to deal with several classes of tuple languages in a uniform way. Termination proofs for clause classes translate directly to closure properties of tuple languages, leading to new decidability and computability results for the latter.     

Syntax extension using a run time model

We describe a method of syntax extension for programming languages which involves using an augmented BNF notation to add new syntactic constructs to the language, and where the meaning of the constructs is usually given by ordinary user subroutines to be executed at run time. This requires fewer special constructs in the language, and also makes it simpler to specify the extensions because the programmer does not have to worry about compile time vs. run time distinctions. The extended BNF may also be used to give specialized syntax to particular data structures.This research was supported under NSF Grant GJ 34342X.     

Automatic symbolic compositional verification by learning assumptions

Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically based on assume-guarantee reasoning principles, and requires user guidance to identify appropriate assumptions for components. In this paper, we propose a fully automated approach to compositional reasoning that consists of automated decomposition using a hypergraph partitioning algorithm for balanced clustering of variables, and discovering assumptions using the L ^* algorithm for active learning of regular languages. We present a symbolic implementation of the learning algorithm, and incorporate it in the model checker NuSmv. In some cases, our experiments demonstrate significant savings in the computational requirements of symbolic model checking. This research was partially supported by ARO grant DAAD19-01-1-0473, and NSF grants ITR/SY 0121431 and CCR0306382.     

An attribute grammar approach to compiler optimization of intra-module interprocess communication

Earlier work has shown the effectiveness of hand-applied program transformations optimizing high-level interprocess communication mechanisms. This paper describes the static analysis techniques necessary to ensure correct compiler application of the optimizing transformations. These techniques include both dataflow analysis and interprocess analysis. This paper focuses on the analysis of communication mechanisms within program modules; however, the analysis techniques can be generalized to handle inter-module optimization analysis as well. The major contributions of this paper include the application of dataflow analysis and the extension of interprocedural analysis—interprocess analysis—to real concurrent programming languages and, more specifically, to the optimization of interprocess communication and synchronization mechanisms that use both static and dynamic channels. In addition, the use of attribute grammars to perform interprocess analysis is significant. This paper also describes an implementation of both intra-process dataflow and interprocess analysis techniques using attribute grammars.This work was supported by NSF under Grant Number CCR88-10617.     

Hierarchical development of programming languages

The experience in designing large software systems shows that even the definitions of a programming language can be seen as the application of specific implementation and formalization techniques rather than as the result of a «designing art». In this context, a formalism is proposed here as a tool for defining conventional high level programming languages. The formalism is an algebraic model supporting the definition of representational entities such as types. A Type is a set of data and operations on them. An isomorphism between language components and types realizes an isomorphism between the language and its specification on the model. Then, the definition of a language can be performed by stepwise definitions of the types representing the language components. So the model is also a language development tool. Stepwise definition methodologies are also investigated and two are the proposed ones: the horizontal, methodology and the vertical methodology. In particular, the vertical methodology defines languages by the development of a hierarchy of abstraction levels, each corresponding to one class of languages: The last class only contains the language being defined.     

Application of reflection in a model transformation language

Computational reflection is a well-known technique applied in many existing programming languages ranging from functional to object-oriented languages. In this paper we study the possibilities and benefits of introducing and using reflection in a rule-based model transformation language. The paper identifies some language abstractions to achieve structural and behavioral reflection. Reflective features are motivated by examples of problems derived from the experience with currently used transformation languages. Example solutions are given by using an experimental language with reflective capabilities. The paper also outlines possible implementation strategies for adding reflection to a language and discusses their advantages and disadvantages.     

Manipulating Tree Tuple Languages by Transforming Logic Programs

We introduce inductive definitions over language expressions as a framework for specifying tree tuple languages. Inductive definitions and their sub-classes correspond naturally to classes of logic programs, and operations on tree tuple languages correspond to the transformation of logic programs. We present an algorithm based on unfolding and definition introduction that is able to deal with several classes of tuple languages in a uniform way. Termination proofs for clause classes translate directly to closure properties of tuple languages, leading to new decidability and computability results for the latter.     

Removing partial parametrization for efficient implementation of functional languages

This paper describes a program transformation technique for functional languages called removing partial parametrization. By transforming functional programs into equivalent ones without partial parametrization, each function is applied to the same number of arguments as its formal parameters. A new method of improving the efficiency of the implementation of functional language is to design the compiler according to the features of the program without partial parametrization. We have used this method in the environment-based implementation of the functional programming language LK. Programs run considerably faster and consume less memory space than traditional ones.     

Agent Programming in 3APL

An intriguing and relatively new metaphor in the programming community is that of an intelligent agent. The idea is to view programs as intelligent agents acting on our behalf. By using the metaphor of intelligent agents the programmer views programs as entities which have a mental state consisting of beliefs and goals. The computational behaviour of an agent is explained in terms of the decisions the agent makes on the basis of its mental state. It is assumed that this way of looking at programs may enhance the design and development of complex computational systems.To support this new style of programming, we propose the agent programming language 3APL. 3APL has a clear and formally defined semantics. The operational semantics of the language is defined by means of transition systems. 3APL is a combination of imperative and logic programming. From imperative programming the language inherits the full range of regular programming constructs, including recursive procedures, and a notion of state-based computation. States of agents, however, are belief or knowledge bases, which are different from the usual variable assignments of imperative programming. From logic programming, the language inherits the proof as computation model as a basic means of computation for querying the belief base of an agent. These features are well-understood and provide a solid basis for a structured agent programming language. Moreover, on top of that 3APL agents use so-called practical reasoning rules which extend the familiar recursive rules of imperative programming in several ways. Practical reasoning rules can be used to monitor and revise the goals of an agent, and provide an agent with reflective capabilities.Applying the metaphor of intelligent agents means taking a design stance. From this perspective, a program is taken as an entity with a mental state, which acts pro-actively and reactively, and has reflective capabilities. We illustrate how the metaphor of intelligent agents is supported by the programming language. We also discuss the design of control structures for rule-based agent languages. A control structure provides a solution to the problem of which goals and which rules an agent should select. We provide a concrete and intuitive ordering on the practical reasoning rules on which such a selection mechanism can be based. The ordering is based on the metaphor of intelligent agents. Furthermore, we provide a language with a formal semantics for programming control structures. The main idea is not to integrate this language into the agent language itself, but to provide the facilities for programming control structures at a meta level. The operational semantics is accordingly specified at the meta level, by means of a meta transition system.