Automata Models for Effective Bug Pattern Description

Fuente: arXiv
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Main Authors: Yaacov, Tom, Weiss, Gera, Amram, Gal, Hayoun, Avi
Format: Preprint
Published: 2025
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author Yaacov, Tom
Weiss, Gera
Amram, Gal
Hayoun, Avi
author_facet Yaacov, Tom
Weiss, Gera
Amram, Gal
Hayoun, Avi
contents Debugging complex systems is a crucial yet time-consuming task. This paper presents the use of automata learning and testing techniques to obtain concise and informative bug descriptions. We introduce the concepts of Failure Explanations (FE), Eventual Failure Explanations (EFE), and Early Detection (ED) to provide meaningful summaries of failing behavior patterns. By factoring out irrelevant information and focusing on essential test patterns, our approach aims to enhance bug detection and understanding. We evaluate our methods using various test patterns and real-world benchmarks, demonstrating their effectiveness in producing compact and informative bug descriptions.
format Preprint
id arxiv_https___arxiv_org_abs_2507_11146
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Automata Models for Effective Bug Pattern Description
Yaacov, Tom
Weiss, Gera
Amram, Gal
Hayoun, Avi
Software Engineering
Debugging complex systems is a crucial yet time-consuming task. This paper presents the use of automata learning and testing techniques to obtain concise and informative bug descriptions. We introduce the concepts of Failure Explanations (FE), Eventual Failure Explanations (EFE), and Early Detection (ED) to provide meaningful summaries of failing behavior patterns. By factoring out irrelevant information and focusing on essential test patterns, our approach aims to enhance bug detection and understanding. We evaluate our methods using various test patterns and real-world benchmarks, demonstrating their effectiveness in producing compact and informative bug descriptions.
title Automata Models for Effective Bug Pattern Description
topic Software Engineering
url https://arxiv.org/abs/2507.11146