| Quote | Bytes | Source | Licence | Receipt |
|---|---|---|---|---|
| Metamorphic testing provides an alternative, where correctness is not determined by checking an individual concrete output, but by applying a transformation to a test input and observing how the program output “morphs” into a different one as a result. | 568–824 | A Survey on Metamorphic Testing 2016 | CC0-1.0 (metadata) | 244212ae91af |
| This article provides a comprehensive survey on metamorphic testing: It summarises the research results and application areas, and analyses common practice in empirical studies of metamorphic testing as well as the main open challenges. | 1069–1305 | A Survey on Metamorphic Testing 2016 | CC0-1.0 (metadata) | 244212ae91af |
| Since the introduction of such metamorphic relations in 1998, many contributions on metamorphic testing have been made, and the technique has seen successful applications in a variety of domains, ranging from web services to computer graphics. | 825–1068 | A Survey on Metamorphic Testing 2016 | CC0-1.0 (metadata) | 244212ae91af |
| Metamorphic testing (MT) is a property-based software testing technique, which can be an effective approach for addressing the test oracle problem and test case generation problem. | 199–379 | Metamorphic testing | CC-BY-SA-4.0 | fe75352e2403 |
| The test oracle problem is the difficulty of determining the expected outcomes of selected test cases or to determine whether the actual outputs agree with the expected outcomes. | 380–558 | Metamorphic testing | CC-BY-SA-4.0 | fe75352e2403 |
| In software testing, a test oracle is a provider of information that describes correct output based on the input of a test case. | 175–303 | Test oracle | CC-BY-SA-4.0 | 3581c035b9ce |
| Testing with an oracle involves comparing actual results of the system under test (SUT) with the expected results as provided by the oracle. | 304–444 | Test oracle | CC-BY-SA-4.0 | 3581c035b9ce |
| However, the availability of test oracles is generally assumed in conventional software testing techniques. | 1314–1421 | Metamorphic Testing: A New Approach for Generating Next Test Cases 2020 | CC0-1.0 (metadata) | f5decebbfb7f |
| In software testing, a set of test cases is constructed according to some predefined selection criteria. | 303–407 | Metamorphic Testing: A New Approach for Generating Next Test Cases 2020 | CC0-1.0 (metadata) | f5decebbfb7f |
| The technique also helps uncover software errors in the production phase and can be used in the absence of test oracles. | 1800–1920 | Metamorphic Testing: A New Approach for Generating Next Test Cases 2020 | CC0-1.0 (metadata) | f5decebbfb7f |
| Software testing is the act of checking whether software meets its intended objectives and satisfies expectations. | 190–304 | Software testing | CC-BY-SA-4.0 | e287324c7545 |
| In the absence of a test oracle, one approach to testing these applications is to use metamorphic testing, in which properties of the application are exploited to define transformation functions on the input, such that the new output will be unchanged or can easily be predicted based on the original output; if the output is not as expected, then a defect must exist in the application. | 426–813 | Properties of Machine Learning Applications for Use in Metamorphic Testing 2008 | CC0-1.0 (metadata) | 6d4f280f5f70 |
| In addition to the results of our testing, we present a set of properties that can be used to define these metamorphic relationships so that metamorphic testing can be used as a general approach to testing machine learning applications. | 1010–1246 | Properties of Machine Learning Applications for Use in Metamorphic Testing 2008 | CC0-1.0 (metadata) | 6d4f280f5f70 |
| Here, we seek to enumerate and classify the metamorphic properties of some machine learning algorithms, and demonstrate how these can be applied to reveal defects in the applications of interest. | 814–1009 | Properties of Machine Learning Applications for Use in Metamorphic Testing 2008 | CC0-1.0 (metadata) | 6d4f280f5f70 |
| He ranks internationally as the second most prolific author on metamorphic testing. | 269–352 | T. H. Tse | CC-BY-SA-4.0 | 1f089673a180 |
| Tse is a Hong Kong academic who is a professor and researcher in program testing and debugging. | 173–268 | T. H. Tse | CC-BY-SA-4.0 | 1f089673a180 |
| Tse in the mid-eighties." The application areas of his research include object-oriented software, services computing, pervasive computing, concurrent systems, imaging software, and numerical programs. | 475–675 | T. H. Tse | CC-BY-SA-4.0 | 1f089673a180 |
Research query: Metamorphic testing (MT) for software without a test oracle · jobs: 1 · on-topic sources: 8 · review: Held
Metamorphic testing (MT) is a property-based software testing technique, which can be an effective approach for addressing the test oracle problem and test case generation problem. — Metamorphic testing (wikipedia)
In the absence of a test oracle, one approach to testing these applications is to use metamorphic testing, in which properties of the application are exploited to define transformation functions on the input, such that the new output will be unchanged or can easily be predicted based on the original output; if the output is not as expected, then a defect must exist in the application. — Properties of Machine Learning Applications for Use in Metamorphic Testing (2008)
However, the availability of test oracles is generally assumed in conventional software testing techniques. — Metamorphic Testing: A New Approach for Generating Next Test Cases (2020)
Metamorphic testing provides an alternative, where correctness is not determined by checking an individual concrete output, but by applying a transformation to a test input and observing how the program output “morphs” into a different one as a result. — A Survey on Metamorphic Testing (2016)
This artifact is information and a reusable solution. Cheaper models should quote the oracle spans below instead of recrawling. Scan GET /library and GET /api/v1/match?q= before minting a new job.
T. H. Tse (wikipedia)
He ranks internationally as the second most prolific author on metamorphic testing. (new this job) — source
Test oracle (wikipedia)
In software testing, a test oracle is a provider of information that describes correct output based on the input of a test case. (new this job) — source
Software testing (wikipedia)
Software testing is the act of checking whether software meets its intended objectives and satisfies expectations. (new this job) — source
Metamorphic testing (wikipedia)
Metamorphic testing (MT) is a property-based software testing technique, which can be an effective approach for addressing the test oracle problem and test case generation problem. (new this job) — source
The test oracle problem is the difficulty of determining the expected outcomes of selected test cases or to determine whether the actual outputs agree with the expected outcomes. (new this job) — source
A Survey on Metamorphic Testing (2016)
Metamorphic testing provides an alternative, where correctness is not determined by checking an individual concrete output, but by applying a transformation to a test input and observing how the program output “morphs” into a different one as a result. (new this job) — source
This article provides a comprehensive survey on metamorphic testing: It summarises the research results and application areas, and analyses common practice in empirical studies of metamorphic testing as well as the main open challenges. (new this job) — source
Since the introduction of such metamorphic relations in 1998, many contributions on metamorphic testing have been made, and the technique has seen successful applications in a variety of domains, ranging from web services to computer graphics. (new this job) — source
Properties of Machine Learning Applications for Use in Metamorphic Testing (2008)
In the absence of a test oracle, one approach to testing these applications is to use metamorphic testing, in which properties of the application are exploited to define transformation functions on the input, such that the new output will be unchanged or can easily be predicted based on the original output; if the output is not as expected, then a defect must exist in the application. (new this job) — source
In addition to the results of our testing, we present a set of properties that can be used to define these metamorphic relationships so that metamorphic testing can be used as a general approach to testing machine learning applications. (new this job) — source
Here, we seek to enumerate and classify the metamorphic properties of some machine learning algorithms, and demonstrate how these can be applied to reveal defects in the applications of interest. (new this job) — source
Metamorphic Testing: A New Approach for Generating Next Test Cases (2020)
However, the availability of test oracles is generally assumed in conventional software testing techniques. (new this job) — source
In software testing, a set of test cases is constructed according to some predefined selection criteria. (new this job) — source
The technique also helps uncover software errors in the production phase and can be used in the absence of test oracles. (new this job) — source
Status Held. Verified claims 14. On-topic sources 8 (reused 0). Dropped 0 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: metamorphic, testing, software, test, oracle.
Sealed job a13a54c2b4fa089cb512fb7e3402c19a. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 0 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
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