Abstract
A Study of Test Suite Reduction Based on Ant Lion Optimizer
Highlights
As the data interface of customer energy service, smart energy meter is the key to carry out value-added electric power data service
We proposed an optimization algorithm based on the Ant Lion Optimizer applied to test suite reduction problem of smart Internet of Things (IoT) meters
The experimental results showed that the algorithm based on Ant Lion Optimizer performed better on the test suite reduction problems compared to similar algorithms
Summary
As the data interface of customer energy service, smart energy meter is the key to carry out value-added electric power data service. We apply test suites to ensure correctness between program branches during system development [2]. With the characteristics of diverse populations, strong performance in finding optimization, few adjustment parameters, and easy implementation, the ALO has been successfully applied to optimization problems such as power grid security [6], radar communication [7], and image matching [8], and has become a research hotspot in solving optimization problems. We propose a smart meter test suite reduction algorithm based on ALO. The algorithm utilizes the random movement of ants and the predatory behaviour of ant lions to discover the optimal subset of the test suite.
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