Code refactoring techniques for reducing energy consumption in embedded computing environment

Kim, Doo-Hwan; Hong, Jin; Yoon, Ilchul; Lee, Sang-Ho

doi:10.1007/s10586-016-0691-5

Cited by 14 publications

(12 citation statements)

References 29 publications

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“…In addition, recent proposals have focused on code refactoring techniques [ 29 , 30 , 31 ] and restructuring codes without changing external behavior, but they only cover a limited number of techniques, and do not contain enough detail to help developers in writing more efficient code.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Corral-García¹,

González-Sánchez²,

Pérez-Toledano

2018

Sensors

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The Internet of Things (IoT) is faced with challenges that require green solutions and energy-efficient paradigms. Architectures (such as ARM) have evolved significantly in recent years, with improvements to processor efficiency, essential for always-on devices, as a focal point. However, as far as software is concerned, few approaches analyse the advantages of writing efficient code when programming IoT devices. Therefore, this proposal aims to improve source code optimization to achieve better execution times. In addition, the importance of various techniques for writing efficient code for Raspberry Pi devices is analysed, with the objective of increasing execution speed. A complete set of tests have been developed exclusively for analysing and measuring the improvements achieved when applying each of these techniques. This will raise awareness of the significant impact the recommended techniques can have.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Corral-García¹,

González-Sánchez²,

Pérez-Toledano

2018

Sensors

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“…Kim et al [9] carried out a study examining the energy consumption values by applying more than one refactoring technique together. This study is one of the most remarkable studies explaining the effects of refactoring techniques on energy consumption.…”

Section: Related Studiesmentioning

confidence: 99%

“…Furthermore, it has been found that the refactoring effectiveness is not consistent because of the difference in applications [8]. Moreover, one of the most remarkable studies that explains the effects of refactoring on energy consumption is Kim et al's work [9]. Some double combinations of refactoring techniques are involved in their experiment in terms of energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Analysis of Code Refactoring Techniques for Green and Sustainable Software in Portable Devices

2022

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Code refactoring is a time-consuming and effort-intensive process that is applied for making improvements to source codes. There exist several refactoring techniques to improve software quality. Some of them aim to reduce the energy consumption of the software. However, the combination of applied refactoring techniques is crucial to the success rate. In addition, to provide sustainable services on portable devices such as mobile phones and laptops, which rely on batteries, improving and optimizing the energy efficiency is important. This study focuses on examining the effect of code refactoring techniques on energy consumption. A total of 25 different source codes of applications programmed in the C# and Java languages are selected for the study, and combinations obtained from refactoring techniques are applied to these source codes. The combinations applied are analyzed using the maintainability index. Power consumption estimation tools are used to measure the energy consumption of the original and refactored codes. The results show that the combinations significantly improve the software’s energy efficiency. The results will provide a better understanding of the relationship between the energy efficiency of software and refactoring techniques. Moreover, they will help developers to improve their object-oriented code in terms of both energy efficiency and sustainability.

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“…There is a significant difference in energy consumption before and after applying refactoring techniques [42][43][44] 5…”

Section: What Hypotheses We Can Derive From the Studies Found?mentioning

confidence: 99%

Exploring research hypotheses in green computing

Hamizi¹,

Kholmatova²,

Succi³

2021

JSEGC

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This paper reviews the research work done in the last 11 years in the area of green computing and analyzes the associated hypotheses, which are then structured in taxonomy and explored to pave the way for a comprehensive view of future research in the area. With the help of the taxonomy, we can understand which of the problems needs more attention. For example, when there is a small number of studies related to a problem, research needs to be conducted on this topic, while a huge number of studies could raise contradictory results that can be aggregated to a unified answer with a meta-analysis. Among the hypotheses generated, one can choose to investigate the hypotheses with a sufficient number of papers.

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Code refactoring techniques for reducing energy consumption in embedded computing environment

Cited by 14 publications

References 29 publications

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices

Energy Efficiency Analysis of Code Refactoring Techniques for Green and Sustainable Software in Portable Devices

Exploring research hypotheses in green computing

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