We present a test data generator employing DE to solve each of the constrained optimisation problems, and empirically evaluate its performance for several DE ...
We present a test data generator employing DE to solve each of the constrained optimisation problems, and empirically evaluate its performance for several. DE ...
We present a test data generator employing DE to solve each of the constrained optimisation problems, and empirically evaluate its performance for several DE ...
DE is a well-evaluated algorithm in the field of evolutionary optimization [62, 63] and has inspired many variants including ensemble-based methods [64, 65,66, ...
An evaluation of Differential Evolution in software test data generation
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TL;DR: This work presents a test data generator employing DE to solve each of the constrained optimisation problems, and empirically evaluates its performance ...
21 p. ... An Evaluation of Differential Evolution in Software Test Data Generation. / Landa Becerra, R; Sagarna, Ramon; Yao, Xin. 2009. 2850-2870 Paper presented ...
Abstract-Software testing is a vital and an effort intensive phase of the software development process. Testing efficacy relies upon optimal test data from ...
Missing: evaluation | Show results with:evaluation
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The results obtained have shown that the proposed DE-based approach is competent and have better performance than random search, GA and PSO with respect to ...
This paper presents a DE-based approach to generate optimal test data in accordance to the data-flow coverage test adequacy criterion. Fitness function is ...
Sprints get shorter, cheaper, and catch more bugs—with test data exempt from compliance. Generate test data that ensures privacy and utility, to achieve regulatory compliance.