Analyzing the factors Influencing green software development using a hybrid fuzzy approach

Document Type : Research Paper

Authors

1 Department of IT Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Department of Industrial Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Today, Environmental protection and sustainable development are two critical issues. Sustainability is now playing a significant role in almost every aspect of life. Information and communication technology is an integral element in the global economy and international development, with extensive applications in almost all industries. Similarly, software development is an essential component of a rapidly evolving technology community. It is also an important starting point for reducing resource consumption and carbon emissions. Nevertheless, compared to hardware, the software has received inconsiderable attention. The aim of this study is to identify, rank, and determine the importance of factors influencing green software development using a hybrid approach. Five criteria and four subcritical were identified from qualitative content analysis of relevant studies and interviews with twelve academic and industry experts. FDEMATEL was employed to determine the interaction and interrelationships among the identified criteria and sub-criteria while utilizing FANP to calculate the weights of the criteria and their relevant sub-criteria to determine their priorities. The following ranked first to fifth as the most influential factors: operational factor “$ 0.2153 $”, infrastructure factor “$ 0.2046 $”, technological factor “$ 0.2006 $”, individual factor “$ 0.1945 $”, and the organizational factor “$ 0.1849 $”. Among the criteria, knowledge, and awareness had the greatest weight of “$ 0.2908 $“, and ethical factors had the lowest weight of “$ 0.2308 $”. Given the insignificant difference between the highest and lowest factors, it can be concluded that all factors are almost equally effective. And it can be concluded developing green software requires the creation of a trusted ecosystem.

Keywords

[1] R. Abdullah, S. Abdullah, J. Din, and M. Tee, A systematic literature review of green software development in collaborative knowledge management environment, Int. J. Adv. Comput. Technol. (IJACT). 136 (2019).
[2] R. Abdullah, S. Abdullah and M. Tee, Web-based knowledge management model for managing and sharing green knowledge of software development in community of practice, 8th. Malay. Software Engin. Conf. (MySEC). IEEE, 2014, pp.210–215.
[3] K. Ahuja, I. Bala and A. Nayyar, Advancements and trends in green cmputing and communication, Recent Adv. Comput. Sci. Commun. 14 (2021), no. 4, 978–979.
[4] H. Alahyari, T. Gorschek and R.B. Svensson, An exploratory study of waste in software development organizations using agile or lean approaches: A multiple case study at 14 organizations, Inf. Software Technol. 105 (2019), 78–94.
[5] M.A. Albreem, A.M. Sheikh, M.H. Alsharif, M. Jusoh and M.N. Yasin, Green internet of things (GIoT): Applications, practices, awareness, and challenges, IEEE Access 9 (2021), 38833–38858.
[6] S.M. Almusawi and M.S. Khalefa, Study of knowledge management framework to enhance enterprise resource planning system in green software development process, Int. Conf. Commun. Inf. Technol. (ICICT). IEEE, 2021, pp. 1–6.
[7] S. Anwar, M. Ghaffar, F. Razzaq and B. Bibi, E-waste reduction via virtualization in green computing, Amer. Acad. Sci. Res. J. Engin. Technol. Sci. 41 (2018), no. 1, 1–1.
[8] H. Anwar, I. Fatima, D. Pfahl and U. Qamar, Tool support for green android development, InSoftware Sustainability. Springer, Cham. (2021), 153–182.
[9] P. Ardimento, ML. Bernardi, M. Cimitile, and FM. Maggi, Evaluating coding behavior in software development processes: A process mining approach, IEEE/ACM Int. Conf. Software Syst. Proces. (ICSSP). IEEE, 2019, pp. 84–93.
[10] A. Baiyere, H. Salmela and T. Tapanainen, Digital transformation and the new logics of business process management, Eur. J. Inf. Syst. 29 (2020), no. 3, 238–59.
[11] E.A. Bakeshlou, A.A. Khamseh, M.A. Asl, J. Sadeghi and M. Abbaszadeh, Evaluating a green supplier selection problem using a hybrid modm algorithm, J. Intell. Manufactut. 28 (2017), no. 4, 913–27.
[12] S. Bala, and J. Mendling, Monitoring the software development process with process mining, ininternational symposium on business modeling and software design, Springer, Cham. (2018), 432–442.
[13] R.E. Bellman and L.A. Zadeh, Decision-making in a fuzzy environment, Manag. Sci. 17 (1970), B141–B164.
[14] M.A. Beghoura, A. Boubetra and A. Boukerram, Green software requirements and measurement: random decision forests-based software energy consumption profiling, Requir. Engin. 22 (2017), no. 1, 27–40.
[15] R.D. Bingham and W.M. Bowen, Mainstream public administration over time: A topical content analysis of public administration review, Public Admin. Rev. 54 (1994), no. 2, 204–208.
[16] P. Bourque, The swebok guide—more than 20 years down the road, IEEE 32nd Conf. Software Engin. Educ. Train (CSEE&T), IEEE, 2020, pp. 1–2.
[17] K.M. Carley, Extracting team mental models through textual analysis, J. Organ. Behav. Int. J. Ind. Occup. Organ. Psycho. Behav. 18 (1997), no. S1, 533–558.
[18] J.W. Creswell and J.D. Creswell, Mixed methods research: Developments, debates, and dilemmas, Res. Organ. Found. Method. Inquiry 2 (2005), 315–326.
[19] C. Calero, J. Mancebo, F. Garc´ıa, MA. Moraga, JA. Bern´a, JL. Fern´andez-Alem´an and A. Toval, 5Ws of green and sustainable software, Tsinghua Sci. Technol. 25 (2019), no. 3, 401–414.
[20] C. Calero and M. Piattini, Puzzling out software sustainability, Sustain. Comput. Inf. Syst. 16 (2017), 117–124.
[21] Y. Celikbilek and A.N. Adıg¨uzel T¨uyl¨u, Prioritizing the components of e-learning systems by using fuzzy DEMATEL and ANP, Interact. Learn.Envir. 30 (2020), no. 2, 322–343.
[22] F. David, Modern software engineering: doing what works to build better software faster 1st edition, AddisonWesley Professional, 2021.
[23] M. Deshmukh and P. Srivastava, Literature review of lean methodology and research issues for identifying and eliminating waste in software development, Intell. Manufactur. Energy Sustain. (2021), 375–388.
[24] L.M. Duarte, D. da Silva Alves, B.R. Toresan, P.H. Maia and D. Silva, A model-based framework for the analysis of software energy consumption, Proc. XXXIII Brazil. Symp. Software Engin., 2019, pp. 67–72.
[25] V.J. Duriau, R.K. Reger and M.D. Pfarrer, A content analysis of the content analysis literature in organization studies: Research themes, data sources, and methodological refinements, Organ. Res. Method. 10 (2007), no. 1, 5–34.
[26] I. Fatima, H. Anwar, D. Pfahl and U. Qamar, Tool support for green android development: A systematic mapping
study, ICSOFT. (2020), 409–417.
[27] B. Gallotta, J.A. Garza-Reyes, A. Anosike, M.K. Lim and I. Roberts, A conceptual framework for the implementation of sustainability business processes, Proc. 27th Prod. Oper. Manag. Soc., 2016.
[28] K. Govindan, R. Khodaverdi and A. Vafadarnikjoo, Intuitionistic fuzzy based dematel method for developing green practices and performances in a green supply chain, Expert Syst. Appl. 42 (2015), no. 20, 7207–7220.
[29] S. Hardin-Ramanan, V. Chang and T. Issa, A green information technology governance model for large mauritian companies, J. Cleaner Prod. 198 (2018), 488–497.
[30] A.A. Hernandez, An empirical investigation on the awareness and practices of higher education students in green information technology: Implications for sustainable computing practice, education, and policy, Int. J. Soc. Ecol. Sustain. Dev. 10 (2019), no. 2, 1–3.
[31] R. Hoda, N. Salleh and J. Grundy, The rise and evolution of agile software development, IEEE Software 35 (2018), no. 5, 58–63.
[32] A. Hu, The theory of green development in China: Innovative green development, Springer, Singapore, 2017.
[33] N. Humaidi, S.A. Seman, A.N. Imam, S.F. Fahrudi and N.A. Jamil, User’s Satisfaction Towards Course File Information System (CFIS): The Role of Green IT Attitude, Self-Efficacy and CFIS Training, Glob. Bus. Manag. Res. 13 (2021), no. 4.
[34] J. Humble and G. Kim, Accelerate: The science of lean software and DevOps: building and scaling high performing technology organizations, IT Revolution 2018.
[35] S.R. Ibrahim, J. Yahaya, H. Salehudin and A. Deraman, The development of green software process model, Dev. 12 (2021), no. 8.
[36] T. Issa, Awareness, opportunities and challenges of green IT: An Australian perspective, Sustainability Awareness and Green Information Technologies, Springer, Cham. (2020), 443–462.
[37] D. Jeya Mala, and A. Pradeep Reynold, Towards green software testing in agile and devops using cloud virtualization for environmental protection, Software Engineering in the Era of Cloud Computing. Springer, Cham. (2020), 277–297.
[38] Z. Ji, M.M. Rokni, J. Qin, S. Zhang and P. Dong, Energy and configuration management strategy for battery/fuel cell/jet engine hybrid propulsion and power systems on aircraft, Energy Conver. Manag. 225 (2020).
[39] B.A. Jr, M.A. Majid and A. Romli, A green information technology governance framework for eco-environmental risk mitigation, Prog. Ind. Ecol. Int. J. 11 (2017), no. 1, 30–48.
[40] B.A. Jnr, M.A. Majid and A. Romli, An empirical study on predictors of green sustainable software practices inMalaysian electronic industries, J. Inf. Commun. Technol. 17 (2018), no. 2, 347–91. 
[41] H. Kallio, A.M. Pietil¨a, M. Johnson and M. Kangasniemi, Systematic methodological review: developing a framework for a qualitative semi-structured interview guide, J. Adv. Nurs. 72 (2016), no. 12, 2954–2965.
[42] L. Karita, B.C. Mourao and I. Machado, Software industry awareness on green and sustainable software engineering: a state-of-the-practice survey, Proc. XXXIII Brazil. Symp. Software Engin., 2019, pp. 501–510.
[43] T. Kawdawatta and Z. Marcelline, Reducing emissions through digital transformation, Nat. Inf. Technol. Conf. (NITC). IEEE, 2018, pp. 1–3.
[44] E. Kern, LM. Hilty, A. Guldner, YV. Maksimov, A. Filler, J. Groger, and S. Naumann, Sustainable software products—Towards assessment criteria for resource and energy efficiency, Future Gen. Comput. Syst. 86 (2018),199–210.
[45] DK. Kim, J. Ryoo, S. Kim, Building sustainable software by preemptive architectural design using tactic-equipped patterns, Ninth Int. Conf. Availab. Reliab. Secur. IEEE, 2014, pp. 484–489.
[46] F. Kiss, and B. Rossi, Agile to lean software development transformation: A systematic literature review, Federated Conf. Comput. Sci. Inf. Syst. (FedCSIS), IEEE, 2018, pp. 969–973.
[47] A. Klimova, Systematic literature review of using knowledge management systems and processes in green ICT and ICT for greening, Technol. Smart Futures (2018), 329–44.
[48] A. Konys, Green supplier selection criteria: From a literature review to a comprehensive knowledge base, Sustain. 11 (2019), no. 15, 4208.
[49] M. Kouhizadeh and J Sarkis, Blockchain practices, potentials, and perspectives in greening supply chains, Sustain. 10 (2018), no. 10, 3652.
[50] M. Lanzas, V. Hermoso, S. de-Miguel, G. Bota, and L. Brotons, Designing a network of green infrastructure to enhance the conservation value of protected areas and maintain ecosystem services, Sci. Total Envir. 651 (2019), 541–550.
[51] L. Duboc, S. Betz, B. Penzenstadler, S.A. Kocak, R. Chitchyan, O. Leifler, J. Porras, N. Seyff and C.C. Venters. Do we really know what we are building? Raising awareness of potential sustainability effects of software systems in requirements engineering, IEEE 27th Int. Requir. Eengin. Conf.(RE). IEEE, 2019, pp.6–16.
[52] K.P. Lin, M.L. Tseng and P.F. Pai, Sustainable supply chain management using approximate fuzzy dematel method, Resources Conserv. Recycl. 128 (2018), 134–142.
[53] Q. Liu, Y. Ma, M. Alhussein, Y. Zhang and L. Peng, Green data center with IoT sensing and cloud-assisted smart temperature control system, Comput. Networks 101 (2016), 104–112.
[54] O. Lopez-Pintado, L. Garcia-Banuelos, M. Dumas and I. Weber, Caterpillar: A blockchain-based business process management system, BPM (Demos) 172 (2017).
[55] J.C. Maciel, The core capabilities of green business process management–a literature review, Proc. Int. Conf. Wirtschatsinformatik, St. Gallen, Switzerland. 2017, pp. 12–15.
[56] K. Macro, L.S. Matott, A. Rabideau, S.H. Ghodsi and Z. Zhu, OSTRICH-SWMM: A new multi-objective optimization tool for green infrastructure planning with swmm, Envir. Model. Software 113 (2019), 42–47.
[57] M.N. Malik and H.H. Khan, Investigating software standards: a lens of sustainability for software crowdsourcing, IEEE Access 6 (2018), 5139–5150.
[58] R. Mehdikhani and C. Valmohammadi, Strategic collaboration and sustainable supply chain management: The mediating role of internal and external knowledge sharing, J. Enterprise Inf. Manag. 32 (2019), no. 5, 778–806.
[59] J. Mi, K. Wang, P. Li, S. Guo and Y. Sun, Software-defined green 5G system for big data, IEEE Commun. Mag. 56 (2018), no. 1, 116–123.
[60] J. Michanan, R. Dewri and M.J. Rutherford, GreenC5: An adaptive, energy-aware collection for green software development, Sustain. Comput. Inf. Syst. 13 (2017), 42–60.
[61] S.A. Mirhosseini, R. Kiani Mavi, N. Kiani Mavi, B. Abbasnejad and F. Rayani, Interrelations among leadershipcompetencies of BIM Leaders: A fuzzy DEMATEL-ANP approach, Sustain. 12 (2020), no. 18, 7830.
[62] A. Mishra and D. Mishra, Sustainable software engineering: curriculum development based on ACM/IEEE guidelines. inSoftware sustainability, Springer, Cham. (2021), 269–285.
[63] V. Modrak and Z. Soltysova, Management of product configuration conflicts to increase the sustainability of mass customization, Sustain. 12 (2020), no. 9.
[64] F. Molder, K.P. Jablonski, B. Letcher, M.B. Hall, C.H. Tomkins-Tinch, V. Sochat, J. Forster, S. Lee, S.O. Twardziok, A. Kanitz and A. Wilm, Sustainable data analysis with snakemake, F1000Res. 10 (2021).
[65] M.A. Moraga, I. Garcia-Rodriguez de Guzman, C. Calero, T. Johann, G. Me, H. Munzel and J. Kindelsberger, GreCo: green code of ethics, J. Software: Evol. Process 29 (2017), no. 2.
[66] V. Motochi, S. Barasa, P. Owoche, and F. Wabwoba, The role of virtualization towards green computing and environmental sustainability, Int. J. Adv. Res. Comput. Engin. Technol. 6 (2017), no. 6, 851–858.
[67] H. Munzel, Towards an ethical foundation of green software engineering, IEEE 10th Int. Conf. Global Software Engin. Workshops, IEEE, 2015, pp. 23–26.
[68] M. Muthu, K. Banuroopa and S. Arunadevi, Green and sustainability in software development lifecycle process, Sustain. Assessment 21st Century 27 (2019), no. 63.
[69] S. Naumann, M. Dick, E. Kern and T. Johann, The greensoft model: A reference model for green and sustainable software and its engineering, Sustain. Comput.: Inf. Syst. 1 (2011), no. 4, 294–304.
[70] K. Nash and R.L. Wakefield, The role of identity in green IT attitude and intention, J. Comput. Inf. Syst. (2021), https://doi.org/10.1080/08874417.2021.1960221.
[71] AO. Ojo, M. Raman, AG. Downe, Toward green computing practices: A Malaysian study of green belief and attitude among Information Technology professionals, J. Cleaner Prod. 224 (2019), 246–55.
[72] A.O. Ojo, M. Raman and R. Vijayakumar, Modeling the determinants of employee belief and attitude for the adoption of green IT, Eurasian Business Perspectives, Springer, Cham. (2020), 173–182.
[73] M. Pandey, R. Litoriya and P. Pandey, Application of fuzzy dematel approach in analyzing mobile app issues, Program. Comput. Software 45 (2019), no. 5, 268–287.
[74] J.D. Paton-Romero, M.T. Baldassarre, M. Rodriguez and M. Piattini, Application of ISO 14000 to information technology governance and management, Comput. Standards Interfaces 65 (2019), 180–202.
[75] J.D. Paton-Romero, M.T. Baldassarre, M. Rodriguez and M. Piattini, Maturity model based on cmmt for governance and management of green IT¡? show [AQ=”” ID=” Q1]”?, IET Software 13 (2019), no. 6, 555–563.
[76] YS. Patel, N. Mehrotra and S. Soner, Green cloud computing: A review on green IT areas for cloud computing environment, Int. Conf. Futuristic Trends Comput. Anal. Knowledge Manag, (ABLAZE), IEEE, 2015, pp. 327– 332.
[77] R.A. Pereira, Energyware engineering: techniques and tools for green software development, Doctoral dissertation, Universidade do Minho, Portugal, 2020.
[78] G. Pinto and F. Castor, Energy efficiency: a new concern for application software developers, Commun. ACM. 60 (2017), no. 12, 68–75.
[79] A. Poth, S. Sasabe, A. Mas and A.L. Mesquida, Lean and agile software process improvement in traditional and agile environments, J. Software: Evol. Process 31 (2019), no. 1.
[80] R.S. Pressman and B.R. Maxim, Software engineering: A professional approach, McGraw-Hill Science, New York, 2016.
[81] K.N. Qureshi, R. Hussain and G. Jeon, A distributed software defined networking model to improve the scalability and quality of services for flexible green energy internet for smart grid systems, Comput. Electric. Engin. 84 (2020).
[82] K. Raisian, J. Yahaya and A. Deraman, Current challenges and conceptual model of green and sustainable software engineering, J. Theor. Appl. Inf. Technol. 94 (2016), no. 2.
[83] K.S. Rahman and K. Thelen, The rise of the platform business model and the transformation of twenty-firstcentury capitalism, Politics Soc. 47 (2019), no. 2, 177–204.
[84] N. Rashid, and SU. Khan, Agile practices for global software development vendors in the development of green and sustainable software, J. Software: Evol. Process 30 (2018), no. 10.
[85] H. Rasouli, C. Valmohammadi, N. Azad and G. Abbaspour Esfeden, Proposing a digital identity management framework: A mixed-method approach, Concurrency Comput.: Practic Exper. 33 (2021), no. 17.
[86] P. Roose, S. Ilarri, JA. Larracoechea, Y. Cardinale and S. Laborie, Towards an Integrated Full-Stack Green Software Development Methodology, ISD Proc. Green Sustain. IS., Track 5, 2021.
[87] F.D. Rossi, M.G. Xavier, E.D.A. Conte, T. Ferreto and C.A. De Rose, Green software development for multi-core architectures, IEEE Symp. Comput. Commun. (ISCC), IEEE, 2014, pp. 1–6.
[88] S. Roscoe, N. Subramanian, C.J. Jabbour and T. Chong, Green human resource management and the enablers of green organisational culture: Enhancing a firm’s environmental performance for sustainable development, Bus. Strategy Envir. 28 (2019), no. 5, 737–749.
[89] M. Salam, and SU. Khan, Risks mitigation practices for multi-Sourcing vendors in green software development: Risks mitigation practices for multi-sourcing vendors, Proc. Pakistan Acad. Sci. A. Phys. Comput. Sci. 54 (2017), no. 1, 71–87.
[90] A. Sambhanthan, and V. Potdar, Waste management strategies for Software Development companies: An explorative text analysis of business sustainability reports, IEEE 14th Int. Conf. Software Engin. Res. Manag. Appl. IEEE, 2016, pp. 179–184.
[91] M. Shahzad, Y. Qu, A.U. Zafar, S.U. Rehman and T. Islam, Exploring the influence of knowledge management process on corporate sustainable performance through green innovation, J. Knowledge Manag. 24 (2020), no. 9, 2079–2106.
[92] H. Saleem and S.A. Burney, Imposing software traceability and configuration management for change tolerance in software production, Int. J. Comput. Sci. Network Secur. 19 (2019), no. 1, 145–154.
[93] T.R. Saputri and S.W. Lee, Integrated framework for incorporating sustainability design in software engineering life-cycle: An empirical study, Inf. Software Technol. 129 (2021), 106407.
[94] A. Salam, Internet of things for sustainable community development: introduction and overview, Internet of Things for Sustainable Community Development Springer, Cham. (2020), 1–31.
[95] S. Samuel, and A. Kovalan, A critical evaluation on programming paradigms to achieve optimal resource utilization of mobile softwares in mobile devices, Int. J. Innov. Digital Econ. 5 (2014), no. 1, 50–59.
[96] O.P. Sangwan, Software reusability estimation using machine learning techniques—a systematic literature review, Evol. Technol. Comput. Commun. Smart World. (2021), 53–68.
[97] R. Sehgal, D. Mehrotra, R. Nagpal and R. Sharma, Green software: Refactoring approach, J. King Saud Univ.- Comput. Inf. Sci. 34 (2020), no. 7, 4635–4643.
[98] P.K. Sharma, N. Kumar and J.H. Park, Blockchain technology toward green IoT: Opportunities and challenges, IEEE Network 34 (2020), no. 4, 263–269.
[99] S.K. Singh, M. Del Giudice, R. Chierici and D. Graziano, Green innovation and environmental performance: The role of green transformational leadership and green human resource management, Technol. Forecast. Soc. Change 150 (2020).
[100] K. Singi, V. Kaulgud, R.J. Bose, S.G. Choudhury, S. Podder and A.P. Burden, Are software engineers incentivized
enough? An outcome based incentive framework using tokens, IEEE Int. Workshop Blockchain Orien. Software Engin. (IWBOSE). IEEE, 2020, pp. 37–47.
[101] N. Soleimani and C. Valmohammadi, Identifying and prioritizing factors influencing the selection of the top suppliers of e-procurement using fdematel and fanp, J. Multi-Criteria Decision Anal. 24 (2017), no. 5, 286–295.
[102] A. Srivastava, M.S. Gupta and G. Kaur, Energy efficient transmission trends towards future green cognitive radio networks (5G): Progress, taxonomy and open challenges, J. Network Comput. Appl. 168 (2020), 102760.
[103] Y. Sun, Y. Zhao, Y. Song, Y. Yang, H. Fang, H. Zang, Y. Li and Y. Gao, Green challenges to system software in data centers, Front. Comput. Sci. China 5 (2011), no. 3, 353–368.
[104] S. Stemler, Practical assessment, research and evaluation, Retrieved 3 (2001).
[105] J. Swacha, Models of sustainable software: A scoping review, Sustain. 14 (2022), no. 4, 551
[106] G.A. Taufiq-Hail and S.R. Alenazi, Empirical exploration of environmental green it awareness influence on individual’s acceptanceof saas cloud-based applications, Solid State Technol. 2020 (2020), 2066–2083.
[107] P. Vaishnavi and S. Ananthi, environmental impact study on carbon footprint emission and development of software architectural framework to measure the level of emission in cloud services, Reliability and Risk Assessment in Engineering. Springer, Singapore. (2020), 159–164.
[108] JK. Verma, S. Kumar, O. Kaiwartya, Y. Cao, J. Lloret, CP. Katti and R. Kharel, Enabling green computing in cloud environments: Network virtualization approach toward 5G support, Trans. Emerg. Telecommun. Technol. 29 (2018), no. 11.
[109] Q. Wan, X. Zhao, H. Liu, H. Dincer and S. Y¨uksel, Assessing the new product development process for the industrial decarbonization of sustainable economies, Sage Open. 12 (2022), no. 1.
[110] J. Werewka and M. Wietecha, Sustainable soft competences development of software developers by communication skills training, Zeszyty Naukowe. Organizacja i Zarzadzanie/Politechnika Slaska, 2018.
[111] MD. White, and EE. Marsh, Content analysis: A flexible methodology, Library Trends 55 (2006), no. 1, 22–45.
[112] S. Wibowo, and M. Wells, Green cloud computing and economics of the cloud: Moving towards sustainable future, GSTF J. Comput. 5 (2016), no. 1.
[113] J. Xu, L. Li, M. Ren, A hybrid ANP method for evaluation of government data sustainability, Sustain. 14 (2022), no. 2, 884.
[114] R. Yadav, ML. Mittal and R. Jain, Lean practices in software development projects: a literature review, AIP Conf. Proc. AIP Publishing LLC, 2019.
[115] C. Zhu, VC. Leung, L. Shu and EC. Ngai, Green internet of things for smart world, IEEE Access 3 (2015), 2151–2162.
Volume 14, Issue 1
January 2023
Pages 2193-2212
  • Receive Date: 06 December 2021
  • Revise Date: 10 February 2022
  • Accept Date: 26 February 2022