Asian Research Thesis Index

Abstract

Logical errors (LE) are the most common problem in overall programming languages. Logical
fallacies are not shown as regular errors in the programming because their result is only different
than planned and its detection is possible only by reviewing the code and determining the flaw.
Each programming language (PL) has its logical error challenges on different hardware
architectures. However, these models primarily focus on the software-based logical error solution
and must integrate into the existing IDEs as an intelligent Unit. 90% logical error can be solved
by the software and the rest by correcting hardware design or creating capability between
hardware and software.
Intelligent logical error detection and mitigation model for python (ILEDMP) is live logical error
detection system which saves much time, energy, cost, efforts, enhances coding experience,
increases productive, accuracy, memory preservation, additional resources usage, and processing
power. These are other benefits of model besides detecting logical errors. Research goes further
to enhance Software Design (SD), Software Quality Assurance, Software debugging, Software
Security, and various additions to improve the coding ability for all kind of users. The tool is
created in the python programming language (PL) and detects the python bugs.
Spyder, Thonny, Eclipse Python (LiClipse), Win Python, Pycharm (Intellij Ultimate) and Wing
IDEs are weak in detecting the logical errors. Though, Model has initially detected nine types of
bugs with live error detection. Intelligent logical error detection and mitigation model for python
(ILEDMP) are capable of all powers which python is offering it for its programs support in the
computation.

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