How Different is Test Case Prioritization for Open and Closed Source Projects?

被引：5
|
作者：
Ling, Xiao [1 ]
Agrawal, Rishabh [1 ]
Menzies, Tim [1 ]
机构：
[1] North Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
来源：
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING | 2021年 / 48卷 / 07期
基金：
美国国家科学基金会;
关键词：
Testing; Software; Open source software; Software development management; Measurement; Software algorithms; History; Software testing; regression testing; test case prioritization; open-source software;
D O I：
10.1109/TSE.2021.3063220
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Improved test case prioritization means that software developers can detect and fix more software faults sooner than usual. But is there one "best" prioritization algorithm? Or do different kinds of projects deserve special kinds of prioritization? To answer these questions, this article applies nine prioritization schemes to 31 projects that range from (a) highly rated open-source Github projects to (b) computational science software to (c) a closed-source project. We find that prioritization approaches that work best for open-source projects can work worst for the closed-source project (and vice versa). From these experiments, we conclude that (a) it is ill-advised to always apply one prioritization scheme to all projects since (b) prioritization requires tuning to different project types.
引用
收藏
页码：2526 / 2540
页数：15
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