100 research outputs found

    Supporting Dynamic Languages on the Java Virtual Machine

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    In this note, I propose two extensions to the Java virtual machine (or VM) to allow dynamic languages such as Dylan, Scheme and Smalltalk to be efficiently implemented on the VM. These extensions do not affect the performance of pure Java programs on the machine. The first extension allows for efficient encoding of dynamic data; the second allows for efficient encoding of language-specific computational elements

    Modular rollback through control logging

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    Abstract We present a technique, based on the use of first-class control operators, enabling programs to maintain and invoke rollback logs for sequences of reversible effects. Our technique is modular, in that it provides complete separation between some library of effectful operations, and a client, "driver" program which invokes and rolls back sequences of these operations. In particular, the checkpoint mechanism, which is entirely encapsulated within the effect library, logs not only the library's effects, but also the client's control state. Thus, logging and rollback can be almost completely transparent to the client code. This separation of concerns manifests itself nicely when we must implement software with sophisticated error handling. We illustrate with two examples that exploit the architecture to disentangle some core parsing task from its error management. The parser code is completely separate from the error-correction code, although the two components are deeply intertwined at run time

    CFA2: a Context-Free Approach to Control-Flow Analysis

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    In a functional language, the dominant control-flow mechanism is function call and return. Most higher-order flow analyses, including k-CFA, do not handle call and return well: they remember only a bounded number of pending calls because they approximate programs with control-flow graphs. Call/return mismatch introduces precision-degrading spurious control-flow paths and increases the analysis time. We describe CFA2, the first flow analysis with precise call/return matching in the presence of higher-order functions and tail calls. We formulate CFA2 as an abstract interpretation of programs in continuation-passing style and describe a sound and complete summarization algorithm for our abstract semantics. A preliminary evaluation shows that CFA2 gives more accurate data-flow information than 0CFA and 1CFA.Comment: LMCS 7 (2:3) 201

    Preliminary Design of the SAFE Platform

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    Safe is a clean-slate design for a secure host architecture. It integrates advances in programming languages, operating systems, and hardware and incorporates formal methods at every step. Though the project is still at an early stage, we have assembled a set of basic architectural choices that we believe will yield a high-assurance system. We sketch the current state of the design and discuss several of these choices

    Selective context-sensitivity guided by impact pre-analysis

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    We present a method for selectively applying context-sensitivity during interprocedural program analysis. Our method applies context-sensitivity only when and where doing so is likely to improve the precision that matters for resolving given queries. The idea is to use a pre-analysis to estimate the impact of contextsensitivity on the main analysis’s precision, and to use this information to find out when and where the main analysis should turn on or off its context-sensitivity. We formalize this approach and prove that the analysis always benefits from the pre-analysisguided context-sensitivity. We implemented this selective method for an existing industrial-strength interval analyzer for full C. The method reduced the number of (false) alarms by 24.4%, while increasing the analysis cost by 27.8% on average.The use of the selective method is not limited to contextsensitivity. We demonstrate this generality by following the same principle and developing a selective relational analysis
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