Sep 26, 2013 · To deal with the problem of high computational complexity, the proposed ELS is also embedded into another effective multi-objective algorithm, ...
We suggest solving OTRAPs with Multi-Objective Evolutionary Algorithms (MOEAs). Specifically, we formulate OTRAPs as two types of multi-objective problems.
Optimal Testing Resource Allocation for modular software systems based-on multi-objective evolutionary algorithms with effective local search strategy.
Optimal Testing Resource Allocation for modular software systems based-on multi-objective evolutionary algorithms with effective local search strategy.
Yang, “Optimal Testing-Resource Allocation with Genetic Algorithm for Modular software Systems,”. The Journal of Systems and Software, vol. 66, pp. 47–55 ...
In this paper, we present a genetic algorithm for testing-resource allocation problems that can be used when the software systems structure is complex, and also ...
In this paper, we propose to solve the testing-resource allocation problem (TRAP) using multi-objective evolutionary algorithms. Specifically, we formulate TRAP ...
In this paper, we propose to solve the testing-resource allocation problem (TRAP) using multi-objective evolutionary algorithms. Specifically, we formulate TRAP ...
Jun 27, 2024 · The multi-objective testing resource allocation problem (MOTRAP) is concerned on how to reasonably plan the testing time of software testers ...
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Optimal Testing Resource Allocation for modular software systems based-on multi-objective evolutionary algorithms with effective local search strategy . In ...