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Abstract: Program understanding is often viewed as the task of extracting plans and design goals from program source. As such, it is natural to try to apply standard AI plan recognition techniques to the program understanding problem. Yet program understanding researchers have quietly, but consistently, avoided the use of these plan recognition algorithms. This paper shows that treating program understanding as plan recognition is too simplistic, and that traditional AI search algorithms for plan... (Update)
Context of citations to this paper: More
.... Program understanding is often viewed as the process of finding program plans in source code, which represent a certain meaning [15]. In taking a closer look to approaches in that field we see that most of them begin by analyzing some source code instructions. The next...
.... to the source code [22] The final objective pursue to extract programming plans and the design objectives from the source code [12]. The programming plans are algorithmical structures that the programmers have applied repeatedly during the implementation of the system...
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BibTeX entry: (Update)
Alex Quilici, Qiang Yang, and Steven Woods. Applying plan recognition algorithms to program understanding. URL: http://spectra.eng.hawaii.edu/~sgwoods/Sub/ AuSE-prpu-paper.html, submitted for publication, 1997. http://citeseer.ist.psu.edu/article/quilici97applying.html More
@article{ quilici98applying,
author = "Alex Quilici and Qiang Yang and Steven Woods",
title = "Applying Plan Recognition Algorithms To Program Understanding",
journal = "Automated Software Engineering: An International Journal",
volume = "5",
number = "3",
month = "July",
publisher = "Kluwer Academic Publishers",
pages = "347--372",
year = "1998",
url = "citeseer.ist.psu.edu/article/quilici97applying.html" }
Citations (may not include all citations):702 Consistency in networks of relations (context) - Mackworth - 1977
311 Partial constraint satisfaction - Freuder, Wallace - 1992
211 Hybrid algorithms for the constraint satisfaction problem (context) - Prosser - 1993
210 Minimizing conflicts: a heuristic repair method for constrai.. - Minton, Johnston et al. - 1992
127 Constraint satisfaction algorithms (context) - Nadel - 1989
117 Generalized plan recognition (context) - Kautz, Allen - 1986
87 A theoretical evaluation of selected backtracking algorithms - Kondrak, Van Beek - 1995
80 From local to global consistency - Dechter - 1992
59 A Formal Theory of Plan Recognition (context) - Kautz - 1987
42 Automated program recognition: A feasibility demonstration (context) - Wills - 1990
39 A memory-based approach to recognizing programming plans (context) - Quilici - 1994
36 Intention Based Diagnosis of Novice Programming Errors (context) - Johnson - 1986
26 Automated program understanding by concept recognition (context) - Kozaczynski, Ning - 1994
26 A polynomial time algorithm for the n-queens problem - Sosic, Gu - 1990
21 Algorithms for constraint-satisfaction problems (context) - Kumar - 1992
19 From plan critiquing to clarification dialogue for cooperati.. (context) - van Beek, Cohen et al. - 1993
18 Program understanding as constraint satisfaction - Woods, Yang - 1995
14 Temporal Reasoning during Plan Recognition (context) - Song, Cohen - 1991
13 Automating the Modularization of Large COBOL Programs: Appli.. (context) - Newcomb, Markosian - 1993
11 The Program Understanding Problem: Analysis and A Heuristic .. - Woods, Yang
8 Solving partial constraint satisfaction problems using local.. (context) - Yang, Fong - 1992
4 Toward A Constraint-Satisfaction Framework for Program Under.. (context) - Quilici, Woods - 1996
The graph only includes citing articles where the year of publication is known.
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Activating CBR Systems through Autonomous Information.. - Carrick, Yang.. (1999) (Correct)
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