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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20379Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Capiluppi, A | - |
| dc.contributor.author | Di Ruscio, D | - |
| dc.contributor.author | Di Rocco, J | - |
| dc.contributor.author | Nguyen, PT | - |
| dc.contributor.author | Ajienka, N | - |
| dc.date.accessioned | 2020-02-24T15:20:19Z | - |
| dc.date.available | 2020-02-15 | - |
| dc.date.available | 2020-02-24T15:20:19Z | - |
| dc.date.issued | 2020-06 | - |
| dc.identifier.citation | Capiluppi, A., Di Ruscio, D., Di Rocco, J., Nguyen, P.T. and Ajienka, N. (2020) 'Detecting Java Software Similarities by using Different Clustering Techniques', Information and Software Technology, 122, 106279, pp. 1-18. doi:10.1016/j.infsof.2020.106279. | en_US |
| dc.identifier.issn | 0950-5849 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/20379 | - |
| dc.description.sponsorship | The research described in this paper has been carried out as part of the CROSSMINER Project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant 732223. | en_US |
| dc.format.extent | 106279 - 106279 | - |
| dc.language | en | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier BV | en_US |
| dc.subject | FOSS (Free and open-source software) | en_US |
| dc.subject | application domains | en_US |
| dc.subject | Latent Dirichlet Allocation | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | expert opinions | en_US |
| dc.title | Detecting Java Software Similarities by using Different Clustering Techniques | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.infsof.2020.106279 | - |
| dc.relation.isPartOf | Information and Software Technology | - |
| pubs.publication-status | Published | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 674.63 kB | Adobe PDF | View/Open |
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