Pushing boundaries in software analytics
Professor David Lo is working to push the boundaries of what can be done by analysing huge amounts of software data. See the papers: AutoQuery: Automatic construction of dependency queries for code search Information retrieval and spectrum based bug localization: Better together
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2017
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sg-smu-ink.smu_research-10392018-03-22T02:05:33Z Pushing boundaries in software analytics Singapore Management University Professor David Lo is working to push the boundaries of what can be done by analysing huge amounts of software data. See the papers: AutoQuery: Automatic construction of dependency queries for code search Information retrieval and spectrum based bug localization: Better together 2017-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/smu_research/33 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1039&context=smu_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research@SMU: Connecting the Dots eng Institutional Knowledge at Singapore Management University Software Engineering |
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Software Engineering |
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Software Engineering Singapore Management University Pushing boundaries in software analytics |
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Professor David Lo is working to push the boundaries of what can be done by analysing huge amounts of software data.
See the papers: AutoQuery: Automatic construction of dependency queries for code search Information retrieval and spectrum based bug localization: Better together |
| format |
text |
| author |
Singapore Management University |
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Singapore Management University |
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Singapore Management University |
| title |
Pushing boundaries in software analytics |
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Pushing boundaries in software analytics |
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Pushing boundaries in software analytics |
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Pushing boundaries in software analytics |
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Pushing boundaries in software analytics |
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pushing boundaries in software analytics |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/smu_research/33 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1039&context=smu_research |
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