Detecting Java Programming Language Smell Code with a Long Parameter List

Fajar Ratnawati, Jaroji

2022

Abstract

This research resulted in the evaluation of the smell code (wrong program code) in the Java programming language. The main objective to be achieved in this study is to detect the smell code (wrong program code) so that the quality level of the code can be seen. The smell code that will be detected in this study is a long parameter list. To support the research process, the evaluation phase of a Java-based application case study was taken from the PMD static code analyzer as a code inspection sample for smell code detection and software metric calculations. The results obtained are code detection based on smell code rulesets, namely warning errors that have been determined with a number of parameters greater than four.

Paper Citation

in Harvard Style

Ratnawati F. and Jaroji. (2022). Detecting Java Programming Language Smell Code with a Long Parameter List. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 228-231. DOI: 10.5220/0011755100003575

in Bibtex Style

@conference{icast-es22,
author={Fajar Ratnawati and Jaroji},
title={Detecting Java Programming Language Smell Code with a Long Parameter List},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={228-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011755100003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Detecting Java Programming Language Smell Code with a Long Parameter List
SN - 978-989-758-619-4
AU - Ratnawati F.
AU - Jaroji.
PY - 2022
SP - 228
EP - 231
DO - 10.5220/0011755100003575
PB - SciTePress