Technical gazette, Vol. 29 No. 1, 2022.
Original scientific paper
https://doi.org/10.17559/TV-20210807090754
A Study of Test Suite Reduction Based on Ant Lion Optimizer
Wei Wei
; Marketing Service Center, State Grid Hubei Electric Power Co., Ltd., 488 Qingwang Road, East Lake Scenic Area, Wuhan, Hubei Province, China
Weidong Cheng
; Holley Technology Co., Ltd. 181 Wuchang Avenue, Wuchang Street, Yuhang District, Hangzhou, Zhejiang Province, China
Li Ye
; Marketing Service Center, State Grid Hubei Electric Power Co., Ltd., 488 Qingwang Road, East Lake Scenic Area, Wuhan, Hubei Province, China
Shuibin Xia
; Marketing Service Center, State Grid Hubei Electric Power Co., Ltd., 488 Qingwang Road, East Lake Scenic Area, Wuhan, Hubei Province, China
Yueping Wang
; Holley Technology Co., Ltd. 181 Wuchang Avenue, Wuchang Street, Yuhang District, Hangzhou, Zhejiang Province, China
Ying Xing
; Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing, China
Xingde Wang*
orcid.org/0000-0002-0902-0484
; Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing, China
Abstract
The development of smart meters to Internet of Things is the infrastructure for the Internet to carry out user electricity management and enhance user experience with electricity. As the iteration of smart home service system based on smart meters continues to accelerate, the development process is becoming more and more demanding for software testing. Test suite reduction is one of the common methods to improve the efficiency of software testing. In this paper, we proposed an optimization algorithm based on the Ant Lion Optimizer applied to test suite reduction problem of smart IoT meters. The algorithm improved the traditional Ant Lion Optimizer by converting the smart IoT meter test suite reduction problem into a binary coverage problem and combining the Greedy Algorithm to obtain the optimal test case subset. The experimental results showed that the algorithm based on Ant Lion Optimizer performed better on the test suite reduction problems compared to similar algorithms.
Keywords
ant lion optimizer; smart meters; software testing; test suite reduction
Hrčak ID:
269506
URI
Publication date:
15.2.2022.
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