2011Unpublished venueRequires access

Retroactive aspects

Robin Salkeld, W. Xu, Brendan Cully, Geoffrey Lefebvre, Andrew Warfield, Gregor Kiczales

Open publisher page 8 citations

Abstract

We present a novel approach to the problem of dynamic program analysis: writing analysis code directly into the program source, but evaluating it against a recording of the original program's execution. This approach allows developers to reason about their program in the familiar context of its actual source, and take full advantage of program semantics, data structures, and library functionality for understanding execution. It also gives them the advantage of hindsight, letting them easily analyze unexpected behavior after it has occurred. Our position is that writing offline analysis as retroactive aspects provides a unifying approach that developers will find natural and powerful.

About this research paper

What this paper is about

We present a novel approach to the problem of dynamic program analysis: writing analysis code directly into the program source, but evaluating it against a recording of the original program's execution. This approach allows developers to reason about their program in the familiar context of its actual source, and take full advantage of program semantics, data structures, and library functionality for understanding execution. It also gives them the advantage of hindsight, letting them easily analyze unexpected behavior after it has occurred. Our position is that writing offline analysis as retroactive aspects provides a unifying approach that developers will find natural and powerful.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We present a novel approach to the problem of dynamic program analysis: writing analysis code directly into the program source, but evaluating it against a recording of the original program's execution. This approach allows developers to reason about their program in the familiar context of its actual source, and take full advantage of program semantics, data structures, and library functionality for understanding execution. It also gives them the advantage of hindsight, letting them easily analyze unexpected behavior after it has occurred. Our position is that writing offline analysis as retroactive aspects provides a unifying approach that developers will find natural and powerful.

Key concepts: Computer science, Hindsight bias, Source code, Programming language, Context (archaeology), Semantics (computer science), Program analysis, Code (set theory)

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