大沟
发表于 2025-3-26 23:07:24
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.
摘要
发表于 2025-3-27 03:03:55
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.
鸟笼
发表于 2025-3-27 05:37:14
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.
Amnesty
发表于 2025-3-27 12:20:57
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condescend
发表于 2025-3-27 16:06:02
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sperse
发表于 2025-3-27 17:56:03
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.
强行引入
发表于 2025-3-28 01:20:10
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abstemious
发表于 2025-3-28 03:22:31
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.
acclimate
发表于 2025-3-28 09:11:05
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食草
发表于 2025-3-28 11:31:23
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.