Covrig: a framework for the analysis of code, test, and coverage evolution in real software
Covrig: a framework for the analysis of code, test, and coverage evolution in real software
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Covrig：用于分析实际软件中的代码、测试和覆盖率演变的框架
DOI：
10.1145/2610384.2610419
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Marinescu P
中科院分区：
文献类型：
--
作者：
Marinescu P
软件存储库提供了关于软件系统构建和演化的丰富信息。虽然可以直接从版本控制系统中挖掘的静态数据已经被广泛研究，但由于运行和监控大量软件版本的固有困难，有关软件执行的动态度量受到的关注要少得多。在本文中，我们介绍了Covrig，这是一种灵活的基础设施，可用于独立运行系统的每个版本，并使用可部署在本地或云机器集群上的轻量级虚拟机环境收集静态和动态软件指标。我们使用Covrig进行了一项实证研究，检查代码和测试如何在六个流行的开源系统中共同发展。我们报告了软件补丁的主要特征，分析了程序和补丁覆盖率的演变，评估了不确定性对测试套件执行的影响，并调查了包含错误和错误修复的代码的覆盖率是否高于平均水平。
Software repositories provide rich information about the construction and evolution of software systems. While static data that can be mined directly from version control systems has been extensively studied, dynamic metrics concerning the execution of the software have received much less attention, due to the inherent difficulty of running and monitoring a large number of software versions. In this paper, we present Covrig, a flexible infrastructure that can be used to run each version of a system in isolation and collect static and dynamic software metrics, using a lightweight virtual machine environment that can be deployed on a cluster of local or cloud machines. We use Covrig to conduct an empirical study examining how code and tests co-evolve in six popular open-source systems. We report the main characteristics of software patches, analyse the evolution of program and patch coverage, assess the impact of nondeterminism on the execution of test suites, and investigate whether the coverage of code containing bugs and bug fixes is higher than average.
Tachyon：用于高效实时补丁测试的串联执行
DOI：
--
发表时间：
2012
期刊：
USENIX Security Symposium
影响因子：
--
作者：
Matthew Maurer;David Brumley
通讯作者：
David Brumley