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Journal articles on the topic 'Software engineering economics'

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Published: 3 June 2025

Last updated: 20 July 2025

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Sneed, Harry M. "Economics of software re-engineering." Journal of Software Maintenance: Research and Practice 3, no. 3 (1991): 163–82. http://dx.doi.org/10.1002/smr.4360030304.

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Hofman, Radosław. "Behavioral economics in software quality engineering." Empirical Software Engineering 16, no. 2 (2010): 278–93. http://dx.doi.org/10.1007/s10664-010-9140-x.

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Nikitashin, Maksim. "Economics of Software Engineering in Slovenia." Revija za ekonomske in poslovne vede 12, no. 1 (2025): 18–38. https://doi.org/10.55707/eb.v12i1.148.

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Information technologies (IT) and its software engineering branch are an important part of the modern economy and its ongoing digitalization. At the same time, they are influenced by the economy as well and have formed their own economic and business fields with plenty of specifics in the recent past. However, this area still remains risky for investments and, in some areas, poorly studied. Especially one of the economic principles, models, techniques, and their specifics in some local national environments like the Slovenian one. Understanding them can significantly improve the operation of the area and work there as well as reduce the number of problems and issues arising. For this reason, it is important to conduct structured studies of the theme both on the global and national levels. The research presented is of a consecutive qualitative nature. The first part is represented with a scoping literature review of global software engineering economics, its trends, and specifics. Then following the second part: a narrative literature review of the selected topics in the Slovenian environment based on the findings of the first part. The results has shown both similarities and deviations in national economy. Some of the latter, like public sector-related specifics, need additional particular consideration on the local level, and some of them, like digital piracy- and sustainability-related cause worries and identify challenges for the future of the software engineering sector in the country. The findings of the research can be utilized by professionals employed in the sphere to improve their understanding and knowledge about the economics of the business area both globally and locally. Also, they can be used for the promotion and improvement of the studied concepts in Slovenia and as a good starting point for continuing research works on the topics analyzed.

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Kemerer, Chris F. "Progress, obstacles, and opportunities in software engineering economics." Communications of the ACM 41, no. 8 (1998): 63–66. http://dx.doi.org/10.1145/280324.280334.

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Razzaq, Seher, Jianglin Huang, Hongyi Sun, and Min Xie. "Analyzing time pressure for software economics." Journal of Enterprise Information Management 32, no. 5 (2019): 758–77. http://dx.doi.org/10.1108/jeim-10-2018-0239.

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Purpose The research on people and project factors is found extensively in general but not specific to software engineering. Secondly, the existing research has not concentrated on the communication and time complexity of the teams on software economics. The purpose this paper is to develop a model to investigate and quantify the impact of time pressure (TP) on software economics through the communication influence of software team sizes (TS). Design/methodology/approach A research model and five hypotheses are developed based on the gaps in the literature. The data set from International Software Benchmarking Standards Group repository is used for testing the hypotheses. Findings Important findings include: smaller TS tends to exert less TP on average; TP is directly proportional to software economics, however; and TP does not affect the productivity required for the software. Research limitations/implications The study has the following implications: Selection of an appropriate TS for project completion that ensures minimum pressure on team members; and maximize software outcomes in stress-free environment. Practical implications This work is useful for organizations carrying out software projects with teamwork. The project managers can benefit from the results while planning the team factors for achieving the project goals. Social implications The results uphold not to exert pressure on the team as it will not only affect the duly completion of the project but also the well-being of employees. Originality/value The paper is the first one where the proposition of TP estimation is done using TS and communication complexity, and empirically evaluating the impact of TP on four major software economics are the major key contributions of this research work.

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Arora, A., and R. Telang. "Economics of software vulnerability disclosure." IEEE Security and Privacy Magazine 3, no. 1 (2005): 20–25. http://dx.doi.org/10.1109/msp.2005.12.

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Lilholt, Addison, and Thomas Heverin. "Mapping Software-Engineering Industry AI Use to Software-Engineering Curriculum: Developing the AI-USE Framework." International Conference on AI Research 4, no. 1 (2024): 234–42. https://doi.org/10.34190/icair.4.1.3034.

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Estimates predict a global deficit of 4 million software engineers by 2025, further complicated by the software engineering (SE) industry's escalating use of artificial intelligence (AI). To tackle this issue, our research suggests that computer science (CS) curricula in middle and high schools need to be updated to incorporate SE industry segments that significantly employ AI. This strategic curriculum alignment is significant for preparing a workforce equipped to meet future industry demands. Our initial analysis involved reviewing nine international AI education guidelines to evaluate current methods for integrating AI into SE education. The findings indicated a pronounced lack of specific guidance connecting AI applications in the SE industry with educational content. To address this, we performed a systematic literature review of 12 research papers focusing on AI's role across the SE industry, followed by multiple rounds of inductive content analysis. An industry segment was deemed "essential" if it was referenced in 75% or more of the papers' findings. Through this method, we identified 10 essential SE industry segments for inclusion in CS education: software development, software maintenance, process improvement, software economics, knowledge management, project management, software testing, software security, quality assurance, and deployment and operations (DevOps). These findings led to the creation of the AI-USE (Artificial Intelligence Usage in Software Engineering) framework, which maps these 10 key segments to the predominant uses of SE in the industry as identified in the literature. Further inductive content analysis helped us develop subsegments for these essential areas. Ongoing framework development involves refining these subsegments and gathering feedback from industry and academic professionals. We anticipate that the fully developed AI-USE framework will significantly enhance SE education, equipping the next generation of software engineers with the AI proficiency required to address the industry’s evolving demands.

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Wisdayanti, B. G., A. P. Nugroho, L. Sutiarso, M. A. F. Falah, and M. A. F. Dzaky. "Evaluating urban mini plant factories: engineering and software cost perspectives for agriculture sustainability." IOP Conference Series: Earth and Environmental Science 1302, no. 1 (2024): 012113. http://dx.doi.org/10.1088/1755-1315/1302/1/012113.

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Abstract Precision agriculture serves as a crucial solution to address the challenges of food security and agriculture sustainability. It provides significant benefits and enables effective monitoring of agriculture throughout the entire supply chain using a technology-driven approach that prioritizes internet connectivity and leverages big data. A noteworthy application of precision agriculture is the Mini Plant Factory, where plants are cultivated in closed systems with artificial lighting. The development of the Mini Plant Factory requires an economic feasibility analysis as a determinant of technology viability before widespread implementation, aiming to promote agriculture sustainability. The Software Cost Estimation Model (SCEM) assesses software development’s cost and time requirements. Engineering economics evaluates economic feasibility using metrics like NPV, BCR, IRR, PBP, and BEP methods. Function Point Analysis for UMPF software development estimates a cost of Rp 33,052,414, equivalent to 1,311 man-hours. Investment feasibility analysis considers the utilization of UMPF as viable, with an NPV of IDR 46,938,615, BCR of 1.08, IRR of 28%, and projected profitability within four years. Precision agriculture strategically addresses complex agricultural challenges, fostering sustainability with innovations such as the UMPF. The SCEM and engineering economics confirm the feasibility and rationale for implementing UMPF technology, providing essential insights for sustainable agricultural practices.

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Selby, Richard W. "3.2.2 Enabling Economics-Driven Systems Engineering Through Reusable Software Architectures and Components." INCOSE International Symposium 17, no. 1 (2007): 466–74. http://dx.doi.org/10.1002/j.2334-5837.2007.tb02888.x.

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Nugroho, A. P., R. M. Nasrul, L. Sutiarso, M. A. F. Falah, and M. A. F. Dzaky. "Evaluating Smart Greenhouse Viability Through Engineering Design and Software Cost Modelling." IOP Conference Series: Earth and Environmental Science 1290, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1755-1315/1290/1/012012.

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Abstract Introducing smart greenhouse technology in tropical agricultural in Indonesia has the potential to bring about substantial advantages, such as higher crop yields, decreased water consumption, and enhanced food security. Nevertheless, the feasibility of this technology must be evaluated before it can be widely adopted. The objectives of this study were to evaluate the viability of smart greenhouse technology in using the engineering economics and software cost estimation model (SCEM), consider the fixed and variable cost for operational, and effort for developing the supporting modules. The findings of this study suggest that the investment in Smart Greenhouse technology is economically viable and financially justified. The Internal Rate of Return (IRR) of 11% exceeds the 10% discount rate, Benefit Cost Ratio (BCR) of 1.16 signifies that the discounted value of benefits surpasses costs over the project lifetime, with the economics return 16% higher than the break-even level. The Smart Greenhouse investment will become profitable after five years, with positive returns above the minimum threshold. The SCEM analysis shows that the software development workload is significant for some modules, such as Smart Agri Engrow and Smart Agri Nutrigrow. These software cost estimates can now be used for budgeting, planning, and assessing the feasibility of the Smart Greenhouse technology implementation.

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García-March, M. A., M. Zacarés, J. M. Isidro, Ll Monreal, C. I. López-Javier, and M. Arevalillo-Herráez. "A software system to teach economics to secondary school and first year engineering students." Modelling in Science Education and Learning 2 (June 20, 2009): 105. http://dx.doi.org/10.4995/msel.2009.3126.

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<p>Presentamos una interfaz gráfica desarrollada mediante Matlab diseñada para complementar el aprendizaje de los conceptos básicos de economía en Bachillerato, grado superior de ciclos formativos y cursos universitarios de introducción a la economía. La aplicación informática permite que los estudiantes varíen los parámetros de los que dependen las curvas de oferta y demanda, y visualicen el efecto sobre el equilibrio de mercado de estas variaciones. Se presentan los resultados de una primera experiencia de aplicación del programa en enseñanza secundaria en España.</p>

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Goel, Rajeev K., and Michael A. Nelson. "Determinants of software piracy: economics, institutions, and technology." Journal of Technology Transfer 34, no. 6 (2009): 637–58. http://dx.doi.org/10.1007/s10961-009-9119-1.

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Erliyani, Ita, and Siti afifah Wulandari. "An Agile Software Engineering Method to Design Blockchain Applications." Blockchain Frontier Technology 1, no. 2 (2022): 84–95. http://dx.doi.org/10.34306/bfront.v1i2.52.

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Cryptocurrencies and its underlying technology, Blockchain, are transforming banking and economics by allowing trustworthy programs to exist without the requirement for a trusted counterpart. In recent years, the Blockchain and the programs that run on it, known as Smart Contracts, have seen increased use across all businesses that demand trust and verifiable credentials. Some have compared the "Blockchain revolution" to the early days of the Internet and the World Wide Web. As a result, all Blockchain-based software development is accelerating at a dizzying pace. Many software engineers argue that the widespread interest in Blockchain technology has resulted in haphazard and rushed software creation, a type of first-come, first-served competition that fails to assure software quality or take into consideration core software engineering ideas. This research tries to solve this issue by proposing a software development strategy for gathering requirements, assessing them, designing, creating, testing, and deploying Blockchain applications. Several Agile approaches are employed in the process, including User Stories and iterative and incremental development based on them. It does, however, employ more formal notations, such as UML diagrams that define the system's design, with improvements to express unique Blockchain concepts. The method is well discussed, including an example to illustrate how it works.

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Michael Gedig and Siegfried Stiemer. "Decision Tools for the Engineering of Steel Structures." Electronic Journal of Structural Engineering 6 (January 1, 2006): 19–38. http://dx.doi.org/10.56748/ejse.655.

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This paper gives an overview of currently available tools for decision making in the field of steel structures engineering. The theory of decision making in business, economics, and politics is well established. There is a wide array of methods and software that is used to implement the theory. In particular, the realm of decision making under conditions of uncertainty is of particular importance to the practicing engineer. This paper describes methods and software that may be used to inform and guide the decision making process in engineering practice. Examples are provided to illustrate the application of these tools to steel structures engineering.

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Dalle, Jean-Michel, and Nicolas Jullien. "Windows vs. Linux: Some Explorations into the Economics of Free Software." Advances in Complex Systems 03, no. 01n04 (2000): 399–416. http://dx.doi.org/10.1142/s0219525900000285.

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The article presents an economic analysis of Free Software. We insist on the role played by Public Licenses, which implement a very subtle and efficient way of dealing with positive externalities associated with creativity, in providing the software industry with such a new development methodology and business model, now already challenging some of Microsoft's main products. To test our argument, we turn to a stochastic interaction model to study the current competition between Linux and Windows NT/2000 in the market for Operating Systems, as this model allows us to deal with both local and global positive externalities. Its results enlighten the existence of different diffusion regimes depending on producer strategies, the main question having to do with the redistribution of positive external economies associated with diffusion of new technologies, therefore confirming our suggestion that Free Software might be a superior economic model than proprietary software.

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Arnold, Bob, and M. Reza Shadnam. "Innovation Goals in Software Development for Business Applications." International Journal of Engineering and Technologies 1 (August 4, 2014): 53–62. http://dx.doi.org/10.56431/p-d6wlsd.

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Having been in touch with technical side of many companies in various sectors, we know industry is facing a period of unprecedented change. We have compiled a list of common technological challenges in the sector that companies are facing in adapting to the change. The purpose of this contribution is to discuss and communicate areas where technological challenges in the Software Development Sector lie. We see this kind of inventory beneficial to the academic community as it provides an account of industry challenges. The analysis would be necessary to really assist players in the sector in being better prepared for formalizing and documenting their learning and know-how development. Beside knowledge management benefits, the analysis also would help in taking advantage of research and development funding and attracting investors; both academic and industrial organizations can take advantage of this aspect. We are calling this type of analysis “capabilities analysis”. A single company might not solve the world’s technical problems, but just being aware of them and measuring steps taken to advance, even slightly, in the direction of solving the problems presented in this analysis would make the company stand out. When data is formulated this way, strong evidence is created that the project goes beyond standard engineering by distinguishing risk that can be eliminated through experiment from standard engineering risk. The main contribution of this work is classification of problems and approaches to solve them in this field.

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Callén, Blanca, Daniel López, Miquel Doménech, and Francisco Tirado. "Not Just Software." International Journal of Technoethics 1, no. 2 (2010): 27–36. http://dx.doi.org/10.4018/jte.2010040104.

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The practice of developing and creating Free Software has been the centre of attention for studies related to economics, knowledge production, laws and the intellectual property framework. However, the practice that constitutes the initiative of Free Software also means a call to rethink current forms of political action and the in-depth meaning of what is understood as “political”. This constitutes the field which has been called techno-activism. Along these lines, the authors propose a particular reading of the political challenge that is Free Software from the standpoint of Hardt and Negri’s (2000) theoretical work. The authors put forward various contributions -regarding the organization, the agents and the form of political action- that they consider to pose a crisis for traditional proposals and urge society to renew its way of relating to information, the raw material upon which the current exercise of government and practices of techno-activist resistance rest.

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Tyger, Lyubov Mikhailovna, Mikhail Vctorovich Afonin, Vladimir Dmitrievich Sekerin, Svetlana Ivanovna Artemyeva, Anatoly Nikolaevish Andreev, and Tatyana Ivanovna Avdeeva. "Cloud and Mobile Systems as a Means of Forming Professional Competencies in Economics and Engineering Students." Webology 18, Special Issue 04 (2021): 665–86. http://dx.doi.org/10.14704/web/v18si04/web18157.

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The study is relevant since there is a contradiction between growing requirements for the informational and communicative competence of different students, including the use of cloud-based computer modeling systems, and the insufficient use of cloud technologies in teaching bachelors of economics and technology. The study aims at determining cloud-based systems that are advisable to use as a means of forming the professional competencies of future specialists in economics and technology and developing guidelines for their use. Based on the analysis of various programs, the authors have proved that the most appropriate is the use of specific software in the professional training of future specialists. Scattered software and cloud services need integration based on unified access that a Google account can provide. They also developed a method of using cloud technologies as a means of forming the informational and communicative competence of bachelors of economics and technology. The use of cloud-based information and communication technologies ensures an increase in the level of professional competence of future specialists.

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Zubina, Valeriya A. "Comparative analysis of methods for solving optimization problems in agricultural engineering." Agricultural Engineering, no. 1 (2023): 11–16. http://dx.doi.org/10.26897/2687-1149-2023-1-11-16.

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To design intelligent transport and technical means, it is necessary to improve the methodological provisions and software for multi-criteria optimization of the functional properties of innovative mobile energy means. The right choice of optimization methods is necessary to design a reliable mathematical model. A comparative analysis of methods for optimizing problem solving for agricultural engineering showed the applicability of single-criterion methods in optimizing simple design parameters of single-purpose problems (development of parts, technical and technological characteristics of individual objects). Multicriteria optimization methods are applicable to solving problems with the defi nition of several objective functions with a large number of functional and criterion constraints, as well as variable parameters, where each parameter is not inferior in importance and relevance to each other (agricultural enterprise management, design of mobile power vehicles, combines and other agricultural machines). Vector optimization methods are applicable for solving a multicriteria optimization problem with a set of possible (permissible) solutions (designing elements of units, machine units and equipment for agricultural production). The authors have analyzed the existing software tools for solving optimization problems. They have found it necessary to develop software tools taking into account simultaneously up to 20 criterial and functional constraints, up to 50 variable parameters and more than three equally important objective functions, where each parameter has no precedence over the others.

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Capra, Eugenio, Chiara Francalanci, and Francesco Merlo. "The Economics of Community Open Source Software Projects: An Empirical Analysis of Maintenance Effort." Advances in Software Engineering 2010 (September 26, 2010): 1–17. http://dx.doi.org/10.1155/2010/685950.

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Previous contributions in the empirical software engineering literature have consistently observed a quality degradation effect of proprietary code as a consequence of maintenance. This degradation effect, referred to as entropy effect, has been recognized to be responsible for significant increases in maintenance effort. In the Open Source context, the quality of code is a fundamental design principle. As a consequence, the maintenance effort of Open Source applications may not show a similar increasing trend over time. The goal of this paper is to empirically verify the entropy effect for a sample of 4,289 community Open Source application versions. Analyses are based on the comparison with an estimate of effort obtained with a traditional effort estimation model. Findings indicate that community Open Source applications show a slower growth of maintenance effort over time, and, therefore, are less subject to the entropy effect.

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Jewell, W. C. R., and S. M. R. Jewell. "Microcomputers and Petroleum Economics Software: A Purchaser's Guide." Journal of Petroleum Technology 38, no. 03 (1986): 337–44. http://dx.doi.org/10.2118/13101-pa.

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Molla, Mohammad Shahansha. "Effect of Gender Diversity on the Association between Corporate Sustainability Practices and Financial Performance of Firms." Finance & Economics Review 3, no. 2 (2021): 15–31. http://dx.doi.org/10.38157/finance-economics-review.v3i2.274.

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Purpose: The objective of this research is to examine the effect of corporate sustainability practices (CSP) on financial performance (FP) as well as the moderating effect of gender diversity (GENDIV) in the board on the relationship between CSP and FP of firms in Malaysia. Methods: The sample of the study is 312 firm-year observations from 2015 to 2017 of 104 firms listed in Bursa Malaysia. The theoretical framework of the study is underpinned by the Stakeholder theory and the Agency theory. To test the hypotheses, with the help of STATA software, the panel corrected standard errors (PCSE) estimator model and the hierarchical moderated multiple regression model have been used. Results: The findings of the study reveal that CSP significantly and positively affects the FP of firms. The empirical results also show that gender diversity in boards significantly moderates the relationship between CSP and FP of Firms in Malaysia. Implications: Based on the empirical findings, the study recommends that the policymakers and regulatory bodies should follow up the mandatory corporate sustainability practices of the firms as well as revise the codes of corporate governance regarding gender diversity of the boards to ensure their long-term sustainability as well as to reduce the risk of financial distress, or bankruptcies in the future.

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NIKITCHENKO, SERGEI L. "Management of agricultural machinery maintenance under the automation and digitalization of production." Agricultural Engineering, no. 4 (2023): 33–42. http://dx.doi.org/10.26897/2687-1149-2023-4-33-42.

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When organizing maintenance activities for domestic agricultural machinery, paper workflow continues to dominate, which negatively affects the performance indicators and the level of operational reliability of machines. The engineering services of domestic agricultural enterprises remain beyond automation and digitalization in matters of managing the technical service of machines. The low adaptation of existing software products to the specifics of domestic agricultural production prevents the adoption of automated CMMS and EAM systems used in other sectors to manage the reliability of equipment in operation. The authors developed software with a set of functions similar to the functionality of well-known CMMS systems. The software includes Agrokompleks ASUTO in combination with the previously developed Agrokompleks Resursy warehouse management software and Agrokompleks MTP fuel management software. The automated system data model is adapted to the needs of engineering workers responsible for the performance of agricultural machinery. A practical test of the system was carried out at an agricultural enterprise with a fleet of 25 tractors. The results obtained confirm the hypothesis that the automation of engineering activities contributes to an increase in the operational reliability of agricultural machinery and a decrease in the labor intensity of managing service processes. The use of the automated system resulted in a decrease in the time spent on maintenance management by 35 to 38%, the probability of tractors having operational failure - by 26%. At the same time, the probability of tractors being in working condition increased by 1.8%. The research could be useful for the developers of EAM systems for the maintenance and repair management of agricultural machinery.

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Mateosian, Richard. "Economics." IEEE Micro 27, no. 1 (2007): 128–30. http://dx.doi.org/10.1109/mm.2007.10.

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Pashaei, Azizeh, Mohammad Hassani, Behnaz Mohajeran, and Kiumars Shahbazi. "Analyzing the effect of economics education on students' financial literacy and decision-making with the moderating role of the family's socio-economic status." Quarterly Journal of Research and Planning in Higher Education 29, no. 4 (2023): 19–35. http://dx.doi.org/10.61838/kman.irphe.29.4.2.

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The aim of the current research is to analyze the effect of economics education on financial literacy and decision-making of students with the moderating role of the socio-economic status of the family. In terms of practical purpose, the research is based on structural equation modeling according to the method of descriptive-correlation data collection. The statistical population studied is students studying in Urmia University in two faculties of Economics and Management and Literature and Human Sciences in the academic year of 2021-22 in the number of 1632 people, of which 313 people were selected by stratified random sampling method. Data collection was done using questionnaires of risk-taking, social norms, probabilistic thinking, financial literacy and socio-economic status of the family, and to analyze the data, firstly, the indicators of the research variables were analyzed using the analysis method. Multiple correspondence was calculated with XLSTAT 2019 software and then the desired model was estimated using generalized structural equation modeling with Stata 17 software. The findings indicate that economics education has a positive and significant effect on students' financial literacy and decision-making, and economics education through financial literacy has a significant effect on students' risk preferences, social preferences and probabilistic beliefs, and the moderating role of socio-economic status in relation to education. Economics and financial literacy were approved. The results of the present research support the effectiveness of policies promoting general and specific economics education and emphasize the distributive and egalitarian nature of such policies.

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Keen, Steve. "Kornai and anti-equilibrium." Acta Oeconomica 68, s1 (2018): 53–72. http://dx.doi.org/10.1556/032.2018.68.s.5.

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János Kornai’s Anti-Equilibrium was ahead of its time when it was written, and even today, when system dynamics software is extensively used in engineering and other disciplines, it remains ahead of its time in economics, which is still hampered by the dominant equilibrium-dominated modeling approach and the subjective beliefs that the truly sterile state of equilibrium is preferable to the real dynamic instability of actual capitalism. I show that the dead-end in which economic theory finds itself today is easily escaped if we adopt the system dynamics approach Kornai recommended in 1971, and derive macroeconomics directly from the structure of the macroeconomy.

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Morgan, Andrew, Alan Dix, Mike Phillips, and Chris House. "Blue sky thinking meets green field usability: Can mobile internet software engineering bridge the rural divide?" Local Economy: The Journal of the Local Economy Policy Unit 29, no. 6-7 (2014): 750–61. http://dx.doi.org/10.1177/0269094214548399.

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Ventura-Molina, Elías, Cuauhtémoc López-Martín, Itzamá López-Yáñez, and Cornelio Yáñez-Márquez. "A Novel Data Analytics Method for Predicting the Delivery Speed of Software Enhancement Projects." Mathematics 8, no. 11 (2020): 2002. http://dx.doi.org/10.3390/math8112002.

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A fundamental issue of the software engineering economics is productivity. In this regard, one measure of software productivity is delivery speed. Software productivity prediction is useful to determine corrective activities, as well as to identify improvement alternatives. A type of software maintenance is enhancement. In this paper, we propose a data analytics-based software engineering algorithm called search method based on feature construction (SMFC) for predicting the delivery speed of software enhancement projects. The SMFC belongs to the minimalist machine learning paradigm, and as such it always generates a two-dimensional model. Unlike the usual data analytics methods, SMFC includes an original algorithmic training procedure, in which both the independent and dependent variables are considered for transformation. SMFC prediction performance is compared to those of statistical regression, neural networks, support vector regression, and fuzzy regression. To do this, seven datasets of software enhancement projects obtained from the International Software Benchmarking Standards Group (ISBSG) Release 2017 were used. The validation method is leave-one-out cross validation, whereas absolute residuals have been chosen as the performance measure. The results indicate that the SMFC is statistically better than statistical regression. This fact represents an obvious advantage in favor of SMFC, because the other two methods are not statistically better than SMFC.

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Bershadskyy, Dmitri, Jacob Krüger, Gül Calıklı, et al. "A laboratory experiment on using different financial-incentivization schemes in software-engineering experimentation." PeerJ Computer Science 11 (March 12, 2025): e2650. https://doi.org/10.7717/peerj-cs.2650.

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In software-engineering research, many empirical studies are conducted with open-source or industry developers. However, in contrast to other research communities like economics or psychology, only few experiments use financial incentives (i.e., paying money) as a strategy to motivate participants’ behavior and reward their performance. The most recent version of the SIGSOFT Empirical Standards mentions payouts only for increasing participation in surveys, but not for mimicking real-world motivations and behavior in experiments. Within this article, we report a controlled experiment in which we tackled this gap by studying how different financial incentivization schemes impact developers. For this purpose, we first conducted a survey on financial incentives used in the real-world, based on which we designed three incentivization schemes: (1) a performance-dependent scheme that employees prefer, (2) a scheme that is performance-independent, and (3) a scheme that mimics open-source development. Then, using a between-subject experimental design, we explored how these three schemes impact participants’ performance. Our findings indicate that the different schemes can impact participants’ performance in software-engineering experiments. Our results are not statistically significant, possibly due to small sample sizes and the consequent lack of statistical power, but with some notable trends that may inspire future hypothesis generation. Our contributions help understand the impact of financial incentives on participants in experiments as well as real-world scenarios, guiding researchers in designing experiments and organizations in compensating developers.

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Wierzbicki, Andrzej P. "Decision support methods and applications: The cross-sections of economics and engineering or environmental issues." Annual Reviews in Control 24 (January 2000): 9–19. http://dx.doi.org/10.1016/s1367-5788(00)90005-1.

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Greenstein, Shane. "Gatekeeping Economics." IEEE Micro 30, no. 5 (2010): 102–4. http://dx.doi.org/10.1109/mm.2010.90.

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Ward, Frank A. "Economics in integrated water management." Environmental Modelling & Software 24, no. 8 (2009): 948–58. http://dx.doi.org/10.1016/j.envsoft.2009.02.002.

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Zuzana CZ, Chvatalova, and Hrebicek Jiri CZ. "Scientific Computing and Visualization with Maple in Economics and Economic Research." International Journal of Economics and Statistics 10 (March 15, 2022): 73–79. http://dx.doi.org/10.46300/9103.2022.10.12.

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The aim of this paper is to map selected tools offered by Maple and user support provided by Maplesoft Inc. for professional and modern implementation in the field of scientific computing, modeling and visualizations in economics. Such support will be a significant technical advantage in time for use in economic research. The paper analyzes the latest version of the mathematical software Maple for scientific computing in economics and finance. It terms of its implementation in the quantitative modeling, calculations and graphics visualizations, both the direct using of built-in elements and the communication platform supported by the Canadian company Maplesoft Inc. that has developed Maple since 1980. Solutions of economic problems are intimately linked in the number of areas of society. At present, continuous innovations and using of new information technologies is trend in science, education and researches that occurs all over the world. Our efforts in this analysis are one of the preparatory stages to meet the primary objective of the solution of the project ""Construction of a complex multi-methods evaluation of performance in selected sectors"" (Reg. No. P403/11/2085) realized at the Brno University of Technology and the Mendel University in Brno.

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Beach, James. "Sustaining Software for Biological Collections Computing." Biodiversity Information Science and Standards 1 (August 14, 2017): e20254. https://doi.org/10.3897/tdwgproceedings.1.20254.

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Specify is a biological collections data management platform for the digitization, curation, and dissemination of museum specimen information. The Specify Software Project and its predecessor, the MUSE Project, have been funded by the US National Science Foundation for 30 years. Specify 6, a native desktop app is used in about 500 biological collections for specimen data processing. The latest generation, Specify 7, is a web platform for hosting collections data in the Specify Cloud service or on an institutional server. During 2017 and 2018, with encouragement from its long-time funder, the Specify Project is 'transitioning-to-sustainability', in a campaign to identify an organizational structure and sources of revenue to support the Project's software engineering, help desk and data management services. A museum consortium dedicated to maintaining and evolving Specify Software is a probable outcome. Such a non-profit consortium would formally engage institution directors, collections researchers, and biodiversity informaticists in the governance of Specify. Each group would play a significant role in determining the direction and capabilities of consortium software products and services. In this paper, we will summarize our approach with the Specify transition. The Specify Project's transition to sustainability is not unique within the research museum community. In the United States, groups that produce Symbiota, Arctos, and GeoLocate, as examples, face a similar quest. As legacy funders look to data communities to underwrite more of the ongoing expense of research cyberinfrastructure, projects seeded with grant funds that contribute to the overall suite of collections digitization and management software solutions will, sooner or later, face this existential challenge. Significant questions of research community economics present themselves. How much can collections institutions, of all sizes and budgets, afford to pay for specimen data software platforms and services? Will the significant cost of collections software development and support lead to sustained, collaborative, community-wide efforts, similar to the way that members of professional societies pool resources (including endowments) to provide journal and annual meeting 'infrastructure'? Or will the high cost of software, security and systems management, etc., drive wealthier museums to outsource software development by licensing commercial products, and relegate collections unable to afford software licenses, to bespoke, simple, or no software solutions? This session will include project case studies on the economics of collections research cyberinfrastructure and present perspectives and paths to long-term sustainability.

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Hodge, George L., and John R. Canada. "LOW COST MICROCOMPUTER SOFTWARE FOR NON-TRADITIONAL ECONOMIC DECISION ANALYSIS*." Engineering Economist 35, no. 2 (1990): 161–67. http://dx.doi.org/10.1080/00137919008903013.

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Khodabakhshi, Sara. "Evaluating the Role of Entrepreneurial Self-Efficacy on Entrepreneurial Intention of Tehran University (Case Study of Engineering Campus)." Journal of Education and Vocational Research 3, no. 3 (2012): 82–88. http://dx.doi.org/10.22610/jevr.v3i3.53.

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Entrepreneurship is the engine of economics of human society. In most countries, entrepreneurship, and especially start up of new businesses is most essential matter. Intention to run business is the base of entrepreneurial action. People, who have entrepreneurial intention, expect to start businesses in the future. In this study, we evaluated the impact of entrepreneurial self-efficacy on entrepreneurial intention. Women entrepreneurship is very important economic matter. Today, many of developed and developing countries, focus on the importance of women entrepreneurship and the enterprises founded by them (GEM, 2010). In this study, we implemented two modified questionnaire: first; Shapero's entrepreneurial intention questionnaire (Shapero, 1982) and Entrepreneurial self-efficacy questionnaire (DeNoble, et al., 1999). In order to analyze gathered data, we used SPSS11 Software, regression and Coefficient. Result shows that entrepreneurial self-efficacy has positive effect on entrepreneurial intention.

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sawan, Vikas, Soumya upadhyay, and Renu Bahuguna. "PERSONAL THOUGHTS ON AUTOMATION, PROGRAMMING CULTURE, AND MODELBASED SOFTWARE ENGINEERING." International Journal of Engineering Applied Sciences and Technology 7, no. 6 (2022): 420–27. http://dx.doi.org/10.33564/ijeast.2022.v07i06.051.

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When compared to more conventional development techniques, model-based software engineering (MBSE), a methodology for developing software, is characterized in part by much higher levels of automation. Many important components of development involve the use of computer-based tools, such as authoring support (many MBSE languages are primarily visual), automatic or semi-automatic verification, the automated conversion of requirements into corresponding programmers, and many more. There is little question that automation, when correctly designed and achieved, may significantly boost the productivity of software developers and improve the quality of their programme, given the historical examples, such as the advent of compilation technology. Therefore, it becomes sense to predict that MBSE will swiftly overtake other software development methods, much to how computer-aided design methods for hardware were quickly adopted. However, this hasn't happened. This is an opinion piece that draws from the author's extensive knowledge of MBSE and its use in business. In it, we look at the factors that led to this paradoxical situation.

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Sokolovska, Zoia. "Simulation Technologies of Experimental Economics." Economic journal Odessa polytechnic university 4, no. 22 (2022): 21–32. http://dx.doi.org/10.15276/ej.04.2022.3.

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The article presents simulation technologies as an instrumental base for research in experimental economics. The main goals and objectives of modern experimental economics are considered. Attention focused on the study of markets and market structures, as one of the relevant areas of experimentation. A generalized overview of classic simulation models of the market is given. A competitive market model presented on the example of two product variants developed using system-dynamic and agent simulation paradigms on the AnyLogic system software platform. On the basis of the model, a study of user behavior in the market of household electrical products was conducted. The obtained results are illustrated by fragments of model simulation experiments.

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Herbert, Tata, Nzelibe Ifechukwu Ugochukwu, and Raufu Ibrahim Olatunji. "Assessing the accuracy of online GNSS processing services and commercial software on short baselines." South African Journal of Geomatics 9, no. 2 (2022): 321–32. http://dx.doi.org/10.4314/sajg.v9i2.21.

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With the rapid establishment of free online processing services to provide users with reliable solutions, it is important to determine the reliability of using free online processing software for the Global Navigation Satellite System post-processing. The study aim at assessing the accuracy of two (2) free online processing software, AUSPOS, and CSRS-PPP and two (2) commercial software, compass post-processing, and GNSS solutions. Field observations were carried out on seven (7) control points using static GNSS observation techniques with an observation period of 1hr for three (3) consecutive days and conventional surveying using total station instruments to establish a closed traverse. The acquired data were post-processed using both online and commercial software. The co-ordinates generated from each software were then compared with the ones obtained using total station instruments to determine their relative discrepancies and accuracies. Root mean square error and T-test were used for the analysis of the result. The result obtained is (0.004m, 0.003m and 0.007m) for compass post-processing software and (0.015m, 0.012m and 0.016m) for GNSS solutions software and the online software had the Root Mean Square Error (RMSE) values of (0.025m, 0.023m and 0.027m) for AUSPOS and (0.034m, 0.037m and 0.041m) for CSRS-PPP both in X, Y, and Z direction i.e. UTM East, North and ellipsoidal height respectively. Analysis at a 5% level of significance shows no significant difference between the two methods. Online GNSS processing services are easy to use, do not require the knowledge of GNSS data processing and can be adopted for engineering and geodetic applications.

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Patil, Pratiksha, and P. R. Satarkar. "Investigation on Seismic Performance of Outrigger Structure For High Rise Building." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 14, Spl-2 issu (2022): 223–28. http://dx.doi.org/10.18090/samriddhi.v14spli02.4.

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As of today's growing population, tall buildings are now being built, with various sorts of high-rise buildings in terms of lateral resisting systems. Outriggers are one of the most effective lateral load resisting techniques for increasing the stiffness and seismic capabilities of a building. Shake table tests are effective ways of determining a building's seismic capacity in seismic engineering. Due to the limited size and capacity of existing shake tables, scale structural models will be required. However, to know the real effect of a building and because of the limited capacity of shake table, we can use software to analyze building's seismic performance. In this paper, an investigation of the seismic performance of past experimental work has been performed in the software Etab, and to validate the result same method has been applied. A software tool was used to do modal analysis on the prototype structure, and the experimental data was compared with the software results to acquire a better understanding of the building's seismic performance. In past experimental study, free vibration test was carried out to know the time period of the structure. In order to observe the same result, modal analysis is performed in software to find out modal period and the damping ratio was calculated manually. After comparing the software result and experimental values of time period and damping, it was clear that the software application and the experimental findings were in good concordance.

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CZARNACKA-CHROBOT, BEATA. "RATIONALIZATION OF BUSINESS SOFTWARE SYSTEMS DEVELOPMENT AND ENHANCEMENT PROJECTS INVESTMENT DECISIONS ON THE BASIS OF FUNCTIONAL SIZE MEASUREMENT." International Journal of Software Engineering and Knowledge Engineering 23, no. 06 (2013): 839–68. http://dx.doi.org/10.1142/s0218194013500228.

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Each rational investment decision, including those made by clients with regard to Business Software Systems (BSS) Development and Enhancement Projects (D&EP), should meet two measurable criteria: effectiveness and economic efficiency. However, in the case of BSS D&EP, the assumption concerning the measurability of these criteria is often treated as controversial. Meanwhile, the so-called concept of BSS D&EP Functional Assessment (FA), proposed by the author and verified in practice, allows for using the potential offered by the Functional Size Measurement (FSM) concept and methods in the area of the quantitative evaluation of these two criteria. Thus, the paper aims at presenting and proving the capabilities of using the functional assessment concept in the quantitative evaluation of BSS D&EP effectiveness and economic efficiency. Linking FSM issues with managerial aspects through the FA concept may contribute to a better understanding of the FSM importance, which is still underestimated by business managers, as in the subject literature this issue is usually considered from a technical perspective. Meanwhile, BSS D&EP FA can constitute the basis for rational decisions not only for BSS providers, but also for BSS clients. These issues classify into economics problems of software engineering research and practice.

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Bernard, Martin, Eva Dwi Minarti, and Masta Hutajulu. "Constructing Student’s Mathematical Understanding Skills and Self Confidence: Math Game with Visual Basic Application for Microsoft Excel in Learning Phytagoras at Junior High School." International Journal of Engineering & Technology 7, no. 3.2 (2018): 732. http://dx.doi.org/10.14419/ijet.v7i3.2.18738.

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Learning media in Mathematics by using Microsoft Excel software that assisted Visual Basic application is a tool that can be applied for a more interactive visualization so that students better understand about mathematical concepts. Microsoft Excel is a software that serves to process data in the form of numbers that are always associated with mathematical commands. In addition, the functions of commands in Microsoft Excel can be applied in various fields such as Statistics, Economics and Finance, Mathematical Logic, and Engineering. If using mathematical concepts with data processing. But it is not just a number, it can also be used to process objects on shapes or drawings on images. This, of course, requires a function other than the mathematical functions of Visual Basic Applications, which can make math tools more interesting. The advantages of Microsoft Excel with Visual Basic for Application (VBA) are (1) the images are more interactive with different sizes and can make more; (2) more economical; (3)saving time; (4)the software is easy to find, and (5)improving students 'understanding of mathematical concepts and foster students' sense of trust, especially in junior high school students.

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Ayyasy, Firas, Anisah, and Daryati. "PENGEMBANGAN APLIKASI SOFTWARE MULTIMEDIA DALAM PEMBELAJARAN BAHASA INGGRIS TEKNIK PADA PRODI PENDIDIKAN TEKNIK BANGUNAN." Jurnal Pendidikan Teknik dan Vokasional 5, no. 2 (2023): 119–25. http://dx.doi.org/10.21009/jptv.5.2.119.

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This research was developed using a research and development (R&D) model that refers to the Lee & Owens Instructional design model so that it can develop learning media in Engineering English courses in the form of Android-based multimedia software applications, thus facilitating access and student learning activities in the class as well as outside of the class. Lee and Owens' model consists of five stages, namely assessment/analysis, design, development, implementation, and evaluation. The data analysis technique in this study used a questionnaire to collect data from needs analysis, linguist validation, and product evaluation. The results of the media development research are 13 meetings of Android-based multimedia software application products that have been validated by linguists who obtained 85.75% results and fall into the very feasible category. The conclusion that can be drawn is that the Android-based multimedia software application is grammatically feasible, but it should be validated by a material expert before the developed media can be used in Technical English for Engineering courses.

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Edwards, C. "Mind the gap [ASIC economics]." Electronics Systems and Software 1, no. 4 (2003): 39–42. http://dx.doi.org/10.1049/ess:20030408.

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Greenstein, S. "Imitation happens [micro economics]." IEEE Micro 24, no. 3 (2004): 67–69. http://dx.doi.org/10.1109/mm.2004.12.

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Kellett, Christopher M., Steven R. Weller, Timm Faulwasser, Lars Grüne, and Willi Semmler. "Feedback, dynamics, and optimal control in climate economics." Annual Reviews in Control 47 (2019): 7–20. http://dx.doi.org/10.1016/j.arcontrol.2019.04.003.

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Kesharwani, Avitesh, Lokesh Manker, Amit Rajput, and Dr Ranjit Rajak. "The Economics of Corporate Meetings: Measuring Cost, Value, and Impact in Software Engineering- A Data-Driven Approach to Optimizing Meetings in the Software Industry Using Cloud, AI, and Productivity Analytics." Computer Science and Engineering 15, no. 2 (2025): 37–50. https://doi.org/10.5923/j.computer.20251502.01.

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Hodge, George L., John R. Canada, and Wael R. Masri. "Low Cost Microcomputer Software for Multi-Attribute Decision Analysis." Engineering Economist 37, no. 2 (1992): 184–91. http://dx.doi.org/10.1080/00137919208903068.

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Xia, Shiliang, and Kaiyang Zhong. "Knowledge Mapping of Green Technology Visualization with Bibliometric Tools." Scientific Programming 2021 (November 27, 2021): 1–14. http://dx.doi.org/10.1155/2021/6298813.

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An increasing number of research literature studies about green technology have been accepted by journals of different disciplines due to the rapid technical progress and innovation in all types of industry. This study uses bibliometric tools of CiteSpace and VOSviewer to analyse the key authors’ co-citation network, institution cooperation, the keyword clusters of green technology, and the evolution trend of green technology. We find that since 1960s, the number of research papers with green technology theme has been growing. These papers are mainly involved in fields of economics and business, engineering, and chemistry, in which there exist 13 highest cited papers from 2009 to 2020 based on the Web of Science database. In this study, we find the top 20 journals of green technology with the parameter of literature count and centrality. We find that the cooperation of authors is quite weak with the co-authorship analysis, and we obtain the top 12 institutions in 15 countries dominantly in green technology research through country and institution analysis. We conduct a cluster analysis of keywords related to green technology, and we obtain 10 clusters, with three economical clusters, five engineering clusters, and two chemical clusters. Finally, we summarise green technology with the aid of the timeline view function of CiteSpace system.

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Abdul-Rani, A. M., M. Zamri Ismail, M. Ariff Zaky, et al. "Improving Rate of Penetration for PDC Drill Bit Using Reverse Engineering." Applied Mechanics and Materials 607 (July 2014): 153–60. http://dx.doi.org/10.4028/www.scientific.net/amm.607.153.

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In petroleum industry, drilling is one of the most important aspects due to its economics. Reduction in drilling time is desired to minimize operations cost. This work focus on Polycrystalline Diamond Compact (PDC) drill bit which is categorized as a fixed cutter drilling bit. Problem such as wear and tear of PDC cutter are some of the main factors in drilling process failure affecting the rate of penetration (RoP). Thus, an intensive study in drill bit design could potentially save costs if the drill bit efficiency can be improved. The objective of this research is to improve the PDC cutter design and analyse design improvement in relation to the rate of penetration using reverse engineering (RE) approach. RE method is capable of resolving unavailable drill bit blueprint from the manufacturer due to propriety and confidential. RE non-contact data acquisition device, 3D laser scanner will be used to obtain cloud data of the existing worn drill bit. Computer Aided Design (CAD) software is used to convert cloud data of the PDC drill bit into 3D CAD model. Optimization of PDC Drill bit is focused on feature design such as back rake angle, side rake angle and number of cutters. CAE software is used to analyse the effect of the design feature modification to rate of penetration. Results show rate of penetration increases as the angle of both rake angle and number of cutter decreases.

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