Java Programming Language: Time Permanence Comparison with Other Languages: A Review

Author:

Abdulkareem Hamaamin Rebin,Mohammed Amin Ali Omar,Wahhab Kareem Shahab

Abstract

Programming languages are necessary tools for teaching computer programming languages, so it is no surprise that deciding which one is the “right tool for the job” can be a contentious issue. To build solid foundations for such debates, we must first consider how different languages’ features relate to one another. Many Java programmers do not think about how to make their programs run faster. Application developers should tune their applications before putting them into production. Application code tuning often results in significant performance gains. The proposed model intended to assist Java programmers in fine-tuning and improving Java -based applications. This article review work in time, the time required to execute some algorithm, i.e., speed of operation, flexibility in modifying some code, and performance, are all factors in the comparison operation. To evaluate the program is better; the same code used to compare the two. in this review, researcher work in terms of the time compare in Java with other language, before compare other language, show performance Java in time and runtime Java, after select some language to compare with Java, like C language, C++ language, C# language and Python, to compare Java performance with other language and illustrate best execution time performance. Comparing Java with other languages reveals that the latest JDK runs faster and executes tasks more swiftly than older versions of Java JDK.

Publisher

EDP Sciences

Reference37 articles.

1. Making the future safe for the past

2. Abdullah J. M., Mohammed M. A., and Muhammed D. A., “International Journal of Multidisciplinary and Current Research Java 8 New Features Improvements and Complications,” no. March, 2020, [Online]. Available: http://ijmcr.com.

3. Compiling Java just in time

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