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Titlebook: Constraint-Based Design Recovery for Software Reengineering; Theory and Experimen Steven G. Woods,Alexander E. Quilici,Qiang Yang Book 1998

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楼主: 徽章
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Michael J. Clay Ph.D.,Jenna N. Albersrstanding aids. As a result, there is a need for tools that can help programmers obtain this understanding. It is particularly crucial to have tools that can extract design concepts. These tools can extract these design concepts using a pattern-based approach, with optional guidance from the user.
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L. Jehel,R. Arnal,D. Carmelo,N. Howardcating a set of items in the code that meet certain constraints, and they tend to to use heuristics to reduce the combinatorics involved in plan recognition. None of these efforts has resulted in a general plan recognition algorithm that scales to the size of real-world software systems.
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Suicidal Crisis in the Digital Ageproach. We now report on experiments with programs based on real-world C code. While not definitive, these new experiments support our earlier results and have led to an improved constraint satisfaction algorithm that provides significant improvements in the scalability of our approach.
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Initial Experiments with Concept Recovery, its performance to see how it scales to larger programs and larger plans, and how its performance is affected by different component distributions. Along the way, we have compared MAP-CSP to a constraint-based implementation of an existing program understanding algorithm.
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Effect of Economic Crises on Suicide Rates). This CSP framework has the benefit not only of being formal and well-understood, but it is also sufficient to capture the behavior of several existing algorithms, allowing their behavior to be compared effectively.
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Program Understanding and Constraint Satisfaction,). This CSP framework has the benefit not only of being formal and well-understood, but it is also sufficient to capture the behavior of several existing algorithms, allowing their behavior to be compared effectively.
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