Towards Green Software Process: A Review on Integration of Sustainability Dimensions and Waste Management

Ibrahim, Siti Rohana Ahmad; Yahaya, Jamaiah; Salehudin, Hasimi; Bakar, Noor Hasrina

doi:10.1109/iceei47359.2019.8988834

Cited by 6 publications

(5 citation statements)

References 32 publications

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“…Literature highlights that current works in software development do not focus on integrating sustainability measurement and software waste management to achieve green software process (Ibrahim et al, 2020).Previous studies have shown that reducing waste in processes will increase the efficiency and productivity of certain jobs (Taina, 2011). We will discuss the material supporting this study in several contexts: software process, green software process model, sustainability context, and software waste.…”

Section: Methodsmentioning

confidence: 99%

Green Software Process Assessment: The Theoretical Framework

et.al¹

2021

TURCOMAT

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Many differentdomains such as engineering, education and health apply green development through sustainability concept.The aim is to ensure the product and services are still relevance and applicable for the next generation. Previously, they were three common pillars of sustainability elements which were economic, social, and environmental. The technical and individual elements were added later to evaluate the software system. Yet, effortsare made to achieve green development process by reducing wastes and to preserve the environment.Most studies targeted on greenness of software products and less consideration on green in software processes. In this study, focus is given to ensure and guarantee green in software process activities. This paper presents the background works on existing studies in green software process and related. Further, it presents the theoretical framework that is based on literature findings and will be the groundwork of this study. The theoretical frameworkdefined consists of software process, green context, and assessment method. The elements of sustainability and waste reduction will be identified further.

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Section: Methodsmentioning

confidence: 99%

Green Software Process Assessment: The Theoretical Framework

et.al¹

2021

TURCOMAT

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“…Many studies have been conducted on the development of green software. Still, little attention has been focused on green measurement in terms of sustainability and improving green processes through waste management approaches [9].…”

Section: The Importance Of Green Software Processmentioning

confidence: 99%

“…However, the software indirectly affects the environment and the software itself. Some studies touch entirely on the green but are still less integrated with the dimensions of sustainability and waste management [9]. The integration between sustainability and waste management has the potential to make the software more tolerable and usable for a new generation that demands a greener environment [33].…”

Section: The Importance Of Green Software Processmentioning

confidence: 99%

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Green Software Process Factors: A Qualitative Study

2022

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In the twenty-first century, the use of software is growing due to many applications requiring large and complex software. Many people do not realise that the use of software has influenced the operation of computer hardware to move indirectly as it affects the hardware’s energy consumption and carbon emissions. Previous studies focused more on models and tools to measure the impact of power consumption and energy efficiency from hardware than on software development studies. Energy consumption can be optimised by the greening software process throughout all phases of development activity. Besides, the current green software process models are more focused on environmental and economic elements and do not integrate with the waste elements in the development phase. Integrating sustainability and waste elements is essential to ensure that the development process complies with green process standards. A qualitative method is used through interviews involving eight informants from Malaysia’s public and private sectors. The objectives of the empirical study are to reveal the current practices of the green software process in industry, identify software process waste and determine green factors associated with the software process. The analysis is guided by a thematic approach using Atlas.ti 8 software. This paper describes the results from the qualitative study that consists of three main themes: best practices of a software process, nine software wastes (building the wrong feature, rework, unnecessarily complex solutions, extraneous cognitive load, psychological distress, waiting, knowledge loss, ineffective communication, delay), and six green factors (resources, people, organisational, technical, environmental, technology). The analysis findings indicate that the software industry needs elements of best practices, green practices, and software technologies in each development phase to produce a green and sustainable software process. The advancement of computing today presents technology as an essential factor in green elements to ensure that the software process is constantly updated and always green.

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“…In terms of energy efficiency, there have been a number of works addressing Sw consumption, in most cases as a component of the development of sustainable Sw [34]. These works propose certain criteria that must be taken into account for the design of sustainable Sw from a life-cycle perspective [35]. Most works in this line proposed different criteria to enhance the sustainability of both the development of Sw products and the Sw design, taking into account the Hw used (storage, computing, network, use of remote/local resources, etc.…”

Section: Introductionmentioning

confidence: 99%

Multi-Signal Multifractal Detrended Fluctuation Analysis for Uncertain Systems —Application to the Energy Consumption of Software Programs in Microcontrollers

de la Torre,

Pavón-Domínguez,

Dorronsoro

et al. 2023

Fractal Fract

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Uncertain systems are those wherein some variability is observed, meaning that different observations of the system will produce different measurements. Studying such systems demands the use of statistical methods over multiple measurements, which allows overcoming the uncertainty, based on the premise that a single measurement is not representative of the system’s behavior. In such cases, the current multifractal detrended fluctuation analysis (MFDFA) method cannot offer confident conclusions. This work presents multi-signal MFDFA (MS-MFDFA), a novel methodology for accurately characterizing uncertain systems using the MFDFA algorithm, which enables overcoming the uncertainty of the system by simultaneously considering a large set of signals. As a case study, we consider the problem of characterizing software (Sw) consumption. The difficulty of the problem mainly comes from the complexity of the interactions between Sw and hardware (Hw), as well as from the high uncertainty level of the consumption measurements, which are affected by concurrent Sw services, the Hw, and external factors such as ambient temperature. We apply MS-MFDFA to generate a signature of the Sw consumption profile, regardless of the execution time, the consumption levels, and uncertainty. Multiple consumption signals (or time series) are built from different Sw runs, obtaining a high frequency sampling of the instant input current for each of them while running the Sw. A benchmark of eight Sw programs for analysis is also proposed. Moreover, a fully functional application to automatically perform MS-MFDFA analysis has been made freely available. The results showed that the proposed methodology is a suitable approximation for the multifractal analysis of a large number of time series obtained from uncertain systems. Moreover, analysis of the multifractal properties showed that this approach was able to differentiate between the eight Sw programs studied, showing differences in the temporal scaling range where multifractal behavior is found.

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Towards Green Software Process: A Review on Integration of Sustainability Dimensions and Waste Management

Cited by 6 publications

References 32 publications

Green Software Process Assessment: The Theoretical Framework

Green Software Process Assessment: The Theoretical Framework

Green Software Process Factors: A Qualitative Study

Multi-Signal Multifractal Detrended Fluctuation Analysis for Uncertain Systems —Application to the Energy Consumption of Software Programs in Microcontrollers

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