題名: | Tackling Uncertainty in A Cognitive Framework for Source Code Understanding |
作者: | Li, Yang Yang, Hong-Ji Chu, William Liu, K.S. |
關鍵字: | Program Comprehension Uncertainty Reasoning Possibility Theory Natural Language Understanding Artificial Intelligence |
期刊名/會議名稱: | 1999 NCS會議 |
摘要: | Source code understanding plays an important role in software maintenance. Although existing knowledge-based program understanding techinques distinguish themselves from structural/syntax-based program analysis methods for acquiring high-abstraction-level oriented result, they all fail to address uncertainty issues inherited in program comprehension process. The lost benefit from tackling huge amount of uncertainty information renders those knowledge-base methods both ineffective and inefficient; in most cases, they simply provide a framework where the linking among different information sources is manually arried out by programmers. In this paper, we devote ourselves to addressing the uncertainty issues in a cognitive framework proposed in previous work for code understanding [12]. An example is given to illustrates this approach. |
日期: | 2006-10-27 |
分類: | 1999年 NCS 全國計算機會議 |
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ce07ncs001999000020.pdf | 712.74 kB | Adobe PDF | 檢視/開啟 |
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