BugSwarm

BugSwarm是由加州大学戴维斯分校的研究团队开发的一个数据集，旨在为软件质量的实验评估提供大规模、多样化和真实的数据集。该数据集通过自动化工具从持续集成服务中挖掘出3091对失败和修复的版本，这些版本都封装在Docker容器中，确保了数据的可重现性。BugSwarm不仅支持对软件缺陷检测、定位和修复工具的评估，还通过持续更新保持数据集的时效性，反映了当前软件开发中的实际问题。该数据集的应用领域广泛，包括但不限于软件测试、程序分析和自动程序修复等。

BugSwarm is a dataset developed by a research team at the University of California, Davis, intended to provide large-scale, diverse, and real-world data for experimental evaluations of software quality. It has extracted 3,091 pairs of failed and fixed software versions via automated tools from continuous integration services, all packaged in Docker containers to ensure data reproducibility. BugSwarm not only supports the evaluation of tools for software defect detection, localization, and repair, but also maintains the timeliness of the dataset through continuous updates, reflecting the actual issues prevalent in current software development. This dataset has a wide range of application domains, including but not limited to software testing, program analysis, automated program repair, and other related fields.

搜集汇总

背景与挑战

背景概述

BugSwarm是一个由加州大学戴维斯分校开发的大规模、多样化数据集，包含3091对失败和修复的软件版本，封装在Docker容器中以确保可重现性。它旨在支持软件缺陷检测、定位和修复工具的评估，持续更新以反映当前软件开发中的实际问题，应用领域广泛，包括软件测试、程序分析和自动程序修复。