A Heterogeneous and Optimized System for Trainers for Analysis and Rectification of Compilation Errors
Badr Almutairi1, Sultan Almotairi2
1Badr Almutairi, Assistant Professor, Department of Information Technology, College of Computer Sciences and Information Technology College, Majmaah University, Al- Majmaah 11952, Saudi Arabia.
2Sultan Almotairi, Assistant Professor, Department of Natural and Applied Sciences, Community College, Majmaah University, Al- Majmaah 11952, Saudi Arabia.
Manuscript received on 13 July 2019 | Revised Manuscript received on 19 July 2019 | Manuscript published on 30 August 2019 | PP: 2590-2594 | Volume-8 Issue-10, August 2019 | Retrieval Number: J93030881019/19©BEIESP | DOI: 10.35940/ijitee.J9303.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the computing world where information is being gathered and analyzed it’s important for programmers to convert raw data into meaningful information and this can only be achieved through programming. The art of programming is not easy as many programming languages are present in the current programming world. The first programming course for any new programmer is always difficult. New programmers always try to copy the code provided by their instructors and after compiling the program, gets the number of errors which they are not able to solve. In this paper, we present a solution which helps the instructors and the programmers to know about student’s capacity of coding. This system provides a top few errors with their solutions. The programmers and the evaluators can also use the system to optimize the program which the students and the other stakeholders are using. As this system alerts the programmers and the other stakeholder about the compilation errors which occur and thus providing instant help for rectifications of the code when needed.
Index Terms: Programming, Code Compilations, Code Optimization, Rectification of Real-Time Errors.
Scope of the Article: Heterogeneous and Streaming Data