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http://bura.brunel.ac.uk/handle/2438/20524Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yao, J | - |
| dc.contributor.author | Shepperd, M | - |
| dc.coverage.spatial | Trondheim | - |
| dc.date.accessioned | 2020-03-16T11:25:54Z | - |
| dc.date.available | 2020-03-16T11:25:54Z | - |
| dc.date.issued | 2020-04-15 | - |
| dc.identifier.citation | Jingxiu Yao and Martin Shepperd (2020) 'Assessing software defection prediction performance: why using the Matthews correlation coefficient matters', in Proceedings of the Evaluation and Assessment in Software Engineering (EASE 2020), April 15–17, 2020, Trondheim, Norway. ACM, New York, NY, USA, 120-129. doi: 10.1145/3383219.3383232. | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/20524 | - |
| dc.description.sponsorship | China Scholarship Council | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Association for Computing Machinery | en_US |
| dc.source | 24th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE) | - |
| dc.subject | software engineering experimentation | en_US |
| dc.subject | software defect prediction | en_US |
| dc.subject | classification metrics | en_US |
| dc.title | Assessing software defection prediction performance: why using the Matthews correlation coefficient matters | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | https://doi.org/10.1145/3383219.3383232 | - |
| pubs.finish-date | 2020-04-17 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2020-04-15 | - |
| pubs.start-date | 2020-04-15 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 1.16 MB | Adobe PDF | View/Open |
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