Discrete cuckoo search algorithms for test case prioritization-Reference-Cited by-同舟云学术

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Discrete cuckoo search algorithms for test case prioritization

Published:2021-10 Issue: Volume:110 Page:107584
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Bajaj Anu^ORCID,Sangwan Om Prakash

Publisher

Elsevier BV

Subject

Software

Reference58 articles.

1. Bio-inspired metaheuristics: evolving and prioritizing software test data;Mann;Appl. Intell.,2018

2. A survey on regression testing using nature-inspired approaches;Bajaj,2018

3. Test case prioritization using lexicographical ordering;Eghbali;IEEE Trans. Softw. Eng.,2016

4. 7 nature-inspired approaches to test suite minimization for regression testing;Bajaj,2020

5. Multi objective test suite reduction for GUI based software using NSGA-II;Chaudhary;Int. J. Inf. Technol. Comput. Sci.,2016

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1. Model-based diversity-driven learn-to-rank test case prioritization;Expert Systems with Applications;2024-12

2. Multi-threshold image segmentation using a boosted whale optimization: case study of breast invasive ductal carcinomas;Cluster Computing;2024-08-07

3. A Novel Framework For Optimal Test Case Generation and Prioritization Using Ent-LSOA And IMTRNN Techniques;Journal of Electronic Testing;2024-06

4. Investigation of temperature effect on the optimal weight design of steel truss bridges using Cuckoo Search Algorithm;Structures;2024-01

5. A Discrete Cuckoo Search Algorithm for the Cumulative Capacitated Vehicle Routing Problem;Handbook of Formal Optimization;2024

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