[Retracted] Gender‐Based Deep Learning Firefly Optimization Method for Test Data Generation Article Swipe
Wenning Zhang
,
Chongyang Jiao
,
Qinglei Zhou
,
Yang Liu
,
Ting Xu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/8056225
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1155/2021/8056225
Software testing is a widespread validation means of software quality assurance in industry. Intelligent optimization algorithms have been proved to be an effective way of automatic test data generation. Firefly algorithm has received extensive attention and been widely used to solve optimization problems because of less parameters and simple implement. To overcome slow convergence rate and low accuracy of the firefly algorithm, a novel firefly algorithm with deep learning is proposed to generate structural test data. Initially, the population is divided into male subgroup and female subgroup. Following the randomly attracted model, each male firefly will be attracted by another randomly selected female firefly to focus on global search in whole space. Each female firefly implements local search under the leadership of the general center firefly, constructed based on historical experience with deep learning. At the final period of searching, chaos search is conducted near the best firefly to improve search accuracy. Simulation results show that the proposed algorithm can achieve better performance in terms of success coverage rate, coverage time, and diversity of solutions.
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2021/8056225
- https://downloads.hindawi.com/journals/cin/2021/8056225.pdf
- OA Status
- hybrid
- Cited By
- 11
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3169914284
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3169914284Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2021/8056225Digital Object Identifier
- Title
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[Retracted] Gender‐Based Deep Learning Firefly Optimization Method for Test Data GenerationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
-
Wenning Zhang, Chongyang Jiao, Qinglei Zhou, Yang Liu, Ting XuList of authors in order
- Landing page
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https://doi.org/10.1155/2021/8056225Publisher landing page
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https://downloads.hindawi.com/journals/cin/2021/8056225.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://downloads.hindawi.com/journals/cin/2021/8056225.pdfDirect OA link when available
- Concepts
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Firefly algorithm, Computer science, Convergence (economics), Artificial intelligence, Software, Firefly protocol, Rate of convergence, Machine learning, Particle swarm optimization, Telecommunications, Biology, Programming language, Channel (broadcasting), Economic growth, Zoology, EconomicsTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 1, 2023: 4, 2022: 5, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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