1. SLIIT RDA
  2. Scopus
  3. 2023
  4. Faculty of Computing
  5. Department of Computer Science and Software Engineering
Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3442
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dc.contributor.authorPeiris, D. R. I.-
dc.contributor.authorKodagoda, N-
dc.date.accessioned2023-07-28T04:30:30Z-
dc.date.available2023-07-28T04:30:30Z-
dc.date.issued2023-05-23-
dc.identifier.citationD. R. I. Peiris and N. Kodagoda, "Static Code Analyser to Enhance Developer Productivity," 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-6, doi: 10.1109/I2CT57861.2023.10126395.en_US
dc.identifier.isbn979-8-3503-3401-2-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3442-
dc.description.abstractOne of the main metrics important to software development is productivity. The measure of productivity helps a organization/ individual or team identify how well their employees/ software runs and how they could improve. In this research paper, a new software is proposed along with a background study of how improving code quality will improve developers productivity and efficiency. The software proposed to aid developer productivity is a custom built static code analyser using python and it’s rule set has been tailored through carefully selected research papers and with feedback from experts of the software industryen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2023 IEEE 8th International Conference for Convergence in Technology (I2CT);-
dc.subjectstatic analysisen_US
dc.subjectproductivityen_US
dc.subjectcode qualityen_US
dc.subjectread-abilityen_US
dc.titleStatic Code Analyser to Enhance Developer Productivityen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/I2CT57861.2023.10126395en_US
Appears in Collections:Department of Computer Science and Software Engineering

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