Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20248| Title: | The Relevance of Application Domains in Empirical Findings |
| Authors: | Capiluppi, Andrea Ajienka, Nemitari |
| Keywords: | Science & Technology;Technology;Computer Science, Software Engineering;Computer Science;FOSS;Application Domains;Latent Dirichlet Allocation;Machine Learning;Expert Opinions;OO (object-oriented);OBJECT-ORIENTED METRICS;SOFTWARE ECOSYSTEMS;SPECIALIZATION;COMMUNITY |
| Issue Date: | 2019 |
| Publisher: | ASSOC COMPUTING MACHINERY |
| Citation: | 2019 IEEE/ACM 2ND INTERNATIONAL WORKSHOP ON SOFTWARE HEALTH (SOHEAL 2019), 2019, pp. 17 - 24 (8) |
| URI: | http://bura.brunel.ac.uk/handle/2438/20248 |
| DOI: | http://dx.doi.org/10.1109/SoHeal.2019.00010 |
| Other Identifiers: | https://dl.acm.org/doi/10.1109/SoHeal.2019.00010 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000505679100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=f12c8c83318cf2733e615e54d9ed7ad5 |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 620.4 kB | Adobe PDF | View/Open |
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