Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3442| Title: | Static Code Analyser to Enhance Developer Productivity |
| Authors: | Peiris, D. R. I. Kodagoda, N |
| Keywords: | static analysis productivity code quality read-ability |
| Issue Date: | 23-May-2023 |
| Publisher: | IEEE |
| Citation: | D. 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. |
| Series/Report no.: | 2023 IEEE 8th International Conference for Convergence in Technology (I2CT); |
| Abstract: | One 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 industry |
| URI: | https://rda.sliit.lk/handle/123456789/3442 |
| ISBN: | 979-8-3503-3401-2 |
| Appears in Collections: | Department of Computer Science and Software Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Static_Code_Analyser_to_Enhance_Developer_Productivity.pdf Until 2050-12-31 | 992.34 kB | Adobe PDF | View/Open Request a copy |
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