Revolutionizing Software Development: Enhancing Quality and Performance Through Code Refactoring

In software development, optimizing code for improved efficiency is akin to tidying up a cluttered space—it benefits both developers and end-users. However, while the focus often lies on enhancing usability and readability, there is a growing emphasis on reducing energy consumption. This paper investigates existing research on energy-efficient coding practices and explores strategies to address this challenge within the constraints of limited power resources. Our project presents a unique perspective on code optimization, emphasizing energy conservation without sacrificing code clarity. Through techniques such as the use of Enums, elimination of duplicate code, and simplification of complex logic, we aimed to minimize energy usage while maintaining code comprehensibility. Additionally, we implemented robust error-handling mechanisms to enhance code reliability. The effectiveness of these optimizations was evaluated through performance testing, measuring energy consumption, execution speed, and code complexity. By implementing these changes, our research contributes not only to improved user experiences but also to environmental sustainability through reduced energy consumption.

Authors

Institutions

Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1145/3675888.3676139
Citations
2
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revolutionizing Software Development: Enhancing Quality and Performance Through Code Refactoring

Asmita Yadav, Sakshi Jain, Muhammad Usman, Anurag Sati
2 citations
Software Engineering Research
1.56
article

Revolutionizing Software Development: Enhancing Quality and Performance Through Code Refactoring

Asmita Yadav, Sakshi Jain, Muhammad Usman, Anurag Sati
article en
2 citations

Abstract

In software development, optimizing code for improved efficiency is akin to tidying up a cluttered space—it benefits both developers and end-users. However, while the focus often lies on enhancing usability and readability, there is a growing emphasis on reducing energy consumption. This paper investigates existing research on energy-efficient coding practices and explores strategies to address this challenge within the constraints of limited power resources. Our project presents a unique perspective on code optimization, emphasizing energy conservation without sacrificing code clarity. Through techniques such as the use of Enums, elimination of duplicate code, and simplification of complex logic, we aimed to minimize energy usage while maintaining code comprehensibility. Additionally, we implemented robust error-handling mechanisms to enhance code reliability. The effectiveness of these optimizations was evaluated through performance testing, measuring energy consumption, execution speed, and code complexity. By implementing these changes, our research contributes not only to improved user experiences but also to environmental sustainability through reduced energy consumption.

Jaypee Institute of Information Technology (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Software Engineering Research
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.