Inferring automatic test oracles
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Langdon, William B. | ko |
| dc.contributor.author | Yoo, Shin | ko |
| dc.contributor.author | Harman, Mark | ko |
| dc.date.accessioned | 2023-08-27T09:01:34Z | - |
| dc.date.available | 2023-08-27T09:01:34Z | - |
| dc.date.created | 2023-07-06 | - |
| dc.date.created | 2023-07-06 | - |
| dc.date.issued | 2017-05 | - |
| dc.identifier.citation | 10th IEEE/ACM International Workshop on Search-Based Software Testing, SBST 2017, pp.5 - 6 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/311852 | - |
| dc.description.abstract | We propose the use of search based learning from existing open source test suitesto automatically generate partially correct test oracles. We argue that mutation testing and n-version computing(augmented by deep learningand other soft computingtechniques), will be able to predict whether a program's output is correct sufficiently accurately to be useful. | - |
| dc.language | English | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Inferring automatic test oracles | - |
| dc.type | Conference | - |
| dc.identifier.wosid | 000426931200003 | - |
| dc.identifier.scopusid | 2-s2.0-85027436032 | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 5 | - |
| dc.citation.endingpage | 6 | - |
| dc.citation.publicationname | 10th IEEE/ACM International Workshop on Search-Based Software Testing, SBST 2017 | - |
| dc.identifier.conferencecountry | AG | - |
| dc.identifier.conferencelocation | Buenos Aires | - |
| dc.identifier.doi | 10.1109/SBST.2017.1 | - |
| dc.contributor.localauthor | Yoo, Shin | - |
| dc.contributor.nonIdAuthor | Langdon, William B. | - |
| dc.contributor.nonIdAuthor | Harman, Mark | - |
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