EPSRC Reference: |
EP/P005659/1 |
Title: |
LUCID: Clearer Software by Integrating Natural Language Analysis into Software Engineering |
Principal Investigator: |
Barr, Professor ET |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computer Science |
Organisation: |
UCL |
Scheme: |
Standard Research |
Starts: |
01 December 2016 |
Ends: |
31 January 2020 |
Value (£): |
337,411
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EPSRC Research Topic Classifications: |
Artificial Intelligence |
Fundamentals of Computing |
Software Engineering |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
Panel Date | Panel Name | Outcome |
10 Jun 2016
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EPSRC ICT Prioritisation Panel - Jun 2016
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Announced
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Summary on Grant Application Form |
Developers spend most of their time maintaining code, with little tool support.
To maintain code, one must understand it. Clear code is easier to read and
understand, and therefore less expensive and risky to evolve and maintain; it
is also notoriously difficult to write. We will help developers write clearer
code to speed maintenance, and increase developer productivity. Source code
unites two channels - the programming language and natural language - to
describe algorithms. LUCID will advance the state of the art in software
engineering by developing new analyses that exploit the interconnections
between these channels to find uninformative names, stale comments, and bugs
that manifest as discrepancies between the two channels.
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Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
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