Vinay Kumar, V. and Nagabhushan, P. (2017) Intelligent compiling and debugging of handwritten code minimizing human interactions. In: Conference: International Symposium on Cloud Computing and Data Analytics, March 2017, Mysore.
Full text not available from this repository. (Request a copy)Abstract
Good programmers, instead of typing a program on a machine, usually scribble the ideas, procedures as well as the program on a piece of paper. Handwritten codes are later typed and turned into source files manually and are compiled to get executable. Here, this concept has been idealized and an attempt is made to automate the process of typing the handwritten code,saving it in respective formats. The proposed framework is an enhancement to the Handwritten Optical Character Recognition(OCR) where special characters along with the alphanumeric characters used in the Computer programs are taken into scope.As part of further processing the extracted code, the framework is extended for automatic debugging using Pattern matching by classification using Artificial Intelligence techniques like Decision trees thus reducing human interactions to the minimum. The scope of the work is on a neatly written Java program as Java is heavily used in variety of research applications due to its ease of use, maintainability and reliability.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | C Swapna Library Assistant |
| Date Deposited: | 07 Mar 2020 06:22 |
| Last Modified: | 11 Mar 2020 05:49 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/11515 |
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