A Mathematical Framework for Automated Bug Localization

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Title: A Mathematical Framework for Automated Bug Localization

Research Question: How can we develop a mathematical framework for automated bug localization?

Methodology: The authors propose a framework for automated bug localization using a rooted acyclic directed graph, which represents an instance of an execution of a program. They define key terms such as execution graph, cut-set, and state.

Results: The authors present a pruning algorithm, which is a debugging task that uses cut-sets to prune the execution graph. They argue that this approach can help in localizing bugs in a program.

Implications: This research contributes to the field of automated bug localization by providing a comprehensive and standardized framework. It may lead to more efficient and accurate debugging techniques in the future.

Link to Article: https://arxiv.org/abs/0309055v1 Authors: arXiv ID: 0309055v1

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