A Taxonomic Review of Adaptive Random Testing: Current Status, Classifications, and Issues Article Swipe
Jinfu Chen
,
Hilary Ackah-Arthur
,
Chengying Mao
,
Patrick Kwaku Kudjo
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1909.10879
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1909.10879
Random testing (RT) is a black-box software testing technique that tests programs by generating random test inputs. It is a widely used technique for software quality assurance, but there has been much debate by practitioners concerning its failure-detection effectiveness. RT is argued to be possibly less effective by some researchers as it does not utilize any information about the program under test. Efforts to mainly improve the failure-detection capability of RT, have led to the proposition of Adaptive Random Testing (ART). ART takes advantage of the location information of previous non-fault-detecting test cases to enhance effectiveness as compared to RT. The approach has gained popularity and has a large number of theoretical studies and methods that employ different notions. In this review, our goal is to provide an overview of existing ART studies. We classify all ART studies and assess existing ART methods for numeric programs with a focus on their motivation, strategy, and findings. The study also discusses several worthy avenues related to ART. The review uses 109 ART papers in several journals, workshops, and conference proceedings. The results of the review show that significant research efforts have been made towards the field of ART, however further empirical studies are still required to make the technique applicable in different test scenarios in order to impact on the industry.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- http://arxiv.org/abs/1909.10879
- https://arxiv.org/pdf/1909.10879
- OA Status
- green
- Cited By
- 6
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.48550/arxiv.1909.10879Digital Object Identifier
- Title
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A Taxonomic Review of Adaptive Random Testing: Current Status, Classifications, and IssuesWork title
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reviewOpenAlex work type
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enPrimary language
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2019Year of publication
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2019-09-24Full publication date if available
- Authors
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Jinfu Chen, Hilary Ackah-Arthur, Chengying Mao, Patrick Kwaku KudjoList of authors in order
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https://arxiv.org/abs/1909.10879Publisher landing page
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greenOpen access status per OpenAlex
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Current (fluid), Computer science, Econometrics, Data science, Management science, Mathematics, Engineering, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2024: 1, 2021: 1, 2020: 4Per-year citation counts (last 5 years)
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| abstract_inverted_index.any | 55 |
| abstract_inverted_index.are | 200 |
| abstract_inverted_index.but | 27 |
| abstract_inverted_index.for | 23, 143 |
| abstract_inverted_index.has | 29, 102, 106 |
| abstract_inverted_index.its | 36 |
| abstract_inverted_index.led | 72 |
| abstract_inverted_index.not | 53 |
| abstract_inverted_index.our | 122 |
| abstract_inverted_index.the | 58, 66, 74, 85, 181, 192, 205, 217 |
| abstract_inverted_index.(RT) | 2 |
| abstract_inverted_index.ART, | 195 |
| abstract_inverted_index.ART. | 164 |
| abstract_inverted_index.also | 157 |
| abstract_inverted_index.been | 30, 189 |
| abstract_inverted_index.does | 52 |
| abstract_inverted_index.goal | 123 |
| abstract_inverted_index.have | 71, 188 |
| abstract_inverted_index.less | 45 |
| abstract_inverted_index.made | 190 |
| abstract_inverted_index.make | 204 |
| abstract_inverted_index.much | 31 |
| abstract_inverted_index.show | 183 |
| abstract_inverted_index.some | 48 |
| abstract_inverted_index.test | 15, 91, 210 |
| abstract_inverted_index.that | 9, 115, 184 |
| abstract_inverted_index.this | 120 |
| abstract_inverted_index.used | 21 |
| abstract_inverted_index.uses | 167 |
| abstract_inverted_index.with | 146 |
| abstract_inverted_index.about | 57 |
| abstract_inverted_index.cases | 92 |
| abstract_inverted_index.field | 193 |
| abstract_inverted_index.focus | 148 |
| abstract_inverted_index.large | 108 |
| abstract_inverted_index.order | 213 |
| abstract_inverted_index.still | 201 |
| abstract_inverted_index.study | 156 |
| abstract_inverted_index.takes | 82 |
| abstract_inverted_index.test. | 61 |
| abstract_inverted_index.tests | 10 |
| abstract_inverted_index.their | 150 |
| abstract_inverted_index.there | 28 |
| abstract_inverted_index.under | 60 |
| abstract_inverted_index.(ART). | 80 |
| abstract_inverted_index.Random | 0, 78 |
| abstract_inverted_index.argued | 41 |
| abstract_inverted_index.assess | 139 |
| abstract_inverted_index.debate | 32 |
| abstract_inverted_index.employ | 116 |
| abstract_inverted_index.gained | 103 |
| abstract_inverted_index.impact | 215 |
| abstract_inverted_index.mainly | 64 |
| abstract_inverted_index.number | 109 |
| abstract_inverted_index.papers | 170 |
| abstract_inverted_index.random | 14 |
| abstract_inverted_index.review | 166, 182 |
| abstract_inverted_index.widely | 20 |
| abstract_inverted_index.worthy | 160 |
| abstract_inverted_index.Efforts | 62 |
| abstract_inverted_index.Testing | 79 |
| abstract_inverted_index.avenues | 161 |
| abstract_inverted_index.efforts | 187 |
| abstract_inverted_index.enhance | 94 |
| abstract_inverted_index.further | 197 |
| abstract_inverted_index.however | 196 |
| abstract_inverted_index.improve | 65 |
| abstract_inverted_index.inputs. | 16 |
| abstract_inverted_index.methods | 114, 142 |
| abstract_inverted_index.numeric | 144 |
| abstract_inverted_index.program | 59 |
| abstract_inverted_index.provide | 126 |
| abstract_inverted_index.quality | 25 |
| abstract_inverted_index.related | 162 |
| abstract_inverted_index.results | 179 |
| abstract_inverted_index.review, | 121 |
| abstract_inverted_index.several | 159, 172 |
| abstract_inverted_index.studies | 112, 137, 199 |
| abstract_inverted_index.testing | 1, 7 |
| abstract_inverted_index.towards | 191 |
| abstract_inverted_index.utilize | 54 |
| abstract_inverted_index.Adaptive | 77 |
| abstract_inverted_index.approach | 101 |
| abstract_inverted_index.classify | 134 |
| abstract_inverted_index.compared | 97 |
| abstract_inverted_index.existing | 130, 140 |
| abstract_inverted_index.location | 86 |
| abstract_inverted_index.notions. | 118 |
| abstract_inverted_index.overview | 128 |
| abstract_inverted_index.possibly | 44 |
| abstract_inverted_index.previous | 89 |
| abstract_inverted_index.programs | 11, 145 |
| abstract_inverted_index.required | 202 |
| abstract_inverted_index.research | 186 |
| abstract_inverted_index.software | 6, 24 |
| abstract_inverted_index.studies. | 132 |
| abstract_inverted_index.advantage | 83 |
| abstract_inverted_index.black-box | 5 |
| abstract_inverted_index.different | 117, 209 |
| abstract_inverted_index.discusses | 158 |
| abstract_inverted_index.effective | 46 |
| abstract_inverted_index.empirical | 198 |
| abstract_inverted_index.findings. | 154 |
| abstract_inverted_index.industry. | 218 |
| abstract_inverted_index.journals, | 173 |
| abstract_inverted_index.scenarios | 211 |
| abstract_inverted_index.strategy, | 152 |
| abstract_inverted_index.technique | 8, 22, 206 |
| abstract_inverted_index.applicable | 207 |
| abstract_inverted_index.assurance, | 26 |
| abstract_inverted_index.capability | 68 |
| abstract_inverted_index.concerning | 35 |
| abstract_inverted_index.conference | 176 |
| abstract_inverted_index.generating | 13 |
| abstract_inverted_index.popularity | 104 |
| abstract_inverted_index.workshops, | 174 |
| abstract_inverted_index.information | 56, 87 |
| abstract_inverted_index.motivation, | 151 |
| abstract_inverted_index.proposition | 75 |
| abstract_inverted_index.researchers | 49 |
| abstract_inverted_index.significant | 185 |
| abstract_inverted_index.theoretical | 111 |
| abstract_inverted_index.proceedings. | 177 |
| abstract_inverted_index.effectiveness | 95 |
| abstract_inverted_index.practitioners | 34 |
| abstract_inverted_index.effectiveness. | 38 |
| abstract_inverted_index.failure-detection | 37, 67 |
| abstract_inverted_index.non-fault-detecting | 90 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6000000238418579 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile |