Work

Empirical Study Between Compiled, Interpreted, and Dynamic Programming Languages Applying Stable Ordering Algorithms (Case Study: Java, Python, Jython, Jpype and Py4J)

Year: 2018

Type: article

Abstract: This article allows to investigate benchmark between programming languages, with the objective of identifying the performance between the execution time and the memory use between the Java and Python languages, as well as, in three implementations of dynamic languages that combine the two aforementioned languages: Jython, Jpype, Py4J. According to the results, it is concluded that the language that obtains the best performance is Py4J. Keywords: programming languages, benchmark, algorithms, compilers

Source: KnE Engineering

DOI: 10.18502/keg.v3i9.3650

Authors: M Labanda-Jaramillo, J G Quinche, L Chamba-Eras, E Coronel-Romero, J-L Granda, L E C Zhingre

Institutions: Universidad Nacional de Loja, Universidad Internacional del Ecuador, Instituto Superior Tecnológico Daniel Álvarez Burneo

Language: English

Topic: Logic, programming, and type systems

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2906820289

FWCI:

Cites: 8

Cited by: 1

Related to: 10