Title
Test case prioritization using partial attention
Abstract
Test case prioritization (TCP) aims to reorder the regression test suite with a goal of increasing the fault detection rate. Various TCP techniques have been proposed based on different prioritization strategies. Among them, the greedy-based techniques are the most widely-used TCP techniques. However, existing greedy-based techniques usually reorder all candidate test cases in prioritization iterations, resulting in both efficiency and effectiveness problems. In this paper, we propose a generic partial attention mechanism, which adopts the previous priority values (i.e., the number of additionally-covered code units) to avoid considering all candidate test cases. Incorporating the mechanism with the additional-greedy strategy, we implement a novel coverage-based TCP technique based on partition ordering (OCP). OCP first groups the candidate test cases into different partitions and updates the partitions on the descending order. We conduct a comprehensive experiment on 19 versions of Java programs and 30 versions of C programs to compare the effectiveness and efficiency of OCP with six state-of-the-art TCP techniques: total-greedy, additional-greedy, lexicographical-greedy, unify-greedy, art-based, and search-based. The experimental results show that OCP achieves a better fault detection rate than the state-of-the-arts. Moreover, the time costs of OCP are found to achieve 85%–99% improvement than most state-of-the-arts.
Year
DOI
Venue
2022
10.1016/j.jss.2022.111419
Journal of Systems and Software
Keywords
DocType
Volume
Software testing,Regression testing,Test case prioritization,Greedy algorithm
Journal
192
ISSN
Citations 
PageRank 
0164-1212
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Quanjun Zhang100.68
Chunrong Fang215318.99
Weisong Sun300.34
Shengcheng Yu400.34
Yutao Xu500.68