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Journal articles on the topic 'Adaptive software development'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Pfleeger, S. L. "Adaptive Software Development [Books]." IEEE Spectrum 37, no. 5 (May 2000): 10–14. http://dx.doi.org/10.1109/mspec.2000.842129.

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2

Rizwan Jameel Qureshi, M., and S. A. Hussain. "An adaptive software development process model." Advances in Engineering Software 39, no. 8 (August 2008): 654–58. http://dx.doi.org/10.1016/j.advengsoft.2007.08.001.

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3

Jain, Parita, Arun Sharma, and Laxmi Ahuja. "Software Maintainability Estimation in Agile Software Development." International Journal of Open Source Software and Processes 9, no. 4 (October 2018): 65–78. http://dx.doi.org/10.4018/ijossp.2018100104.

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Agile methodologies have gained wide acceptance for developing high-quality products with a quick and flexible approach. However, until now, the quality of the agile process has not been validated quantitatively. Quality being important for the software system, there is a need for measurement. Estimating different quality factors will lead to a quality product. Also, agile software development does not provide any precise models to evaluate maintainability. Therefore, there is a need for an algorithmic approach that can serve as the basis for estimation of maintainability. The article proposes an adaptive neuro-fuzzy inference system (ANFIS) model for estimating agile maintainability. Maintainability is one of the prominent quality factors in the case of agile development. The proposed model has been verified and found to be effective for assessing the maintainability of agile software.
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4

Ye, Eun-Suk, Keun-Hyuk Yeom, and Mi-Kyeong Moon. "Product-Line Architecture Development for Self-Adaptive Software." KIPS Transactions:PartD 15D, no. 3 (June 30, 2008): 361–74. http://dx.doi.org/10.3745/kipstd.2008.15-d.3.361.

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5

Yau, Stephen S., Nong Ye, Hessem S. Sarjoughian, Dazhi Huang, Auttawut Roontiva, Mustafa Baydogan, and Mohammed A. Muqsith. "Toward Development of Adaptive Service-Based Software Systems." IEEE Transactions on Services Computing 2, no. 3 (July 2009): 247–60. http://dx.doi.org/10.1109/tsc.2009.17.

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Zhao, Yongwang, Zhuqing Li, Hualei Shen, and Dianfu Ma. "Development of global specification for dynamically adaptive software." Computing 95, no. 9 (February 1, 2013): 785–816. http://dx.doi.org/10.1007/s00607-013-0295-3.

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Öztürk, Veysi. "Flexible and Adaptive Life Cycle Framework for Software Development." Journal of Software 11, no. 9 (September 2016): 943–51. http://dx.doi.org/10.17706/jsw.11.9.943-951.

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Meso, Peter, and Radhika Jain. "Agile Software Development: Adaptive Systems Principles and Best Practices." Information Systems Management 23, no. 3 (June 2006): 19–30. http://dx.doi.org/10.1201/1078.10580530/46108.23.3.20060601/93704.3.

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Mezini, Mira, and Karl Lieberherr. "Adaptive plug-and-play components for evolutionary software development." ACM SIGPLAN Notices 33, no. 10 (October 1998): 97–116. http://dx.doi.org/10.1145/286942.286950.

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10

Pahl, Claus. "Adaptive development and maintenance of user-centric software systems." Information and Software Technology 46, no. 14 (November 2004): 973–86. http://dx.doi.org/10.1016/j.infsof.2004.04.004.

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Adjedj, Geneviève, and Denis Aubry. "Development of a hierarchical and adaptive finite element software." Computer Methods in Applied Mechanics and Engineering 75, no. 1-3 (October 1989): 153–65. http://dx.doi.org/10.1016/0045-7825(89)90021-2.

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12

Barati, Saeid, Ferenc A. Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald Fussell, Henry Hoffmann, et al. "Proteus: Language and Runtime Support for Self-Adaptive Software Development." IEEE Software 36, no. 2 (March 2019): 73–82. http://dx.doi.org/10.1109/ms.2018.2884864.

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13

Noskov, A. N., and I. A. Manov. "Development of an adaptive routing mechanism in software-defined networks." Automatic Control and Computer Sciences 50, no. 7 (December 2016): 520–26. http://dx.doi.org/10.3103/s0146411616070166.

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14

Michanan, Junya, Rinku Dewri, and Matthew J. Rutherford. "GreenC5: An adaptive, energy-aware collection for green software development." Sustainable Computing: Informatics and Systems 13 (March 2017): 42–60. http://dx.doi.org/10.1016/j.suscom.2016.11.004.

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15

Khemissa, Hamid, Mohamed Ahmed-nacer, and Abdelkader Belkhir. "Adaptive Guidance Model Based Similarity for Software Process Development Programming." International Journal of Software Engineering & Applications 5, no. 2 (March 31, 2014): 67–84. http://dx.doi.org/10.5121/ijsea.2014.5205.

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16

Noskov, A. N., and I. A. Manov. "Development of an Adaptive Routing Mechanism in Software-Defined Networks." Modeling and Analysis of Information Systems 22, no. 4 (October 15, 2015): 521. http://dx.doi.org/10.18255/1818-1015-2015-4-521-532.

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17

Kutsumi, Hiroshi, Eiichi Naito, Shoichi Araki, Satoshi Emura, and Tadaharu Arai. "Development of a user adaptive home page recommendation software, “WebNavigator”." Systems and Computers in Japan 34, no. 3 (2003): 44–52. http://dx.doi.org/10.1002/scj.10069.

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18

Ahmed, Moataz A., Moshood Omolade Saliu, and Jarallah AlGhamdi. "Adaptive fuzzy logic-based framework for software development effort prediction." Information and Software Technology 47, no. 1 (January 2005): 31–48. http://dx.doi.org/10.1016/j.infsof.2004.05.004.

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19

Choi, Younyoung, and Cayce McClenen. "Development of Adaptive Formative Assessment System Using Computerized Adaptive Testing and Dynamic Bayesian Networks." Applied Sciences 10, no. 22 (November 19, 2020): 8196. http://dx.doi.org/10.3390/app10228196.

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Online formative assessments in e-learning systems are increasingly of interest in the field of education. While substantial research into the model and item design aspects of formative assessment has been conducted, few software systems embodied with a psychometric model have been proposed to allow us to adaptively implement formative assessments. This study aimed to develop an adaptive formative assessment system, called computerized formative adaptive testing (CAFT) by using artificial intelligence methods based on computerized adaptive testing (CAT) and Bayesian networks as learning analytics. CAFT can adaptively administer personalized formative assessment to a learner by dynamically selecting appropriate items and tests aligned with the learner’s ability. Forty items in an item bank were evaluated by 410 learners, moreover, 1000 learners were recruited for a simulation study and 120 learners were enrolled to evaluate the efficiency, validity, and reliability of CAFT in an application study. The results showed that, through CAFT, learners can adaptively take item s and tests in order to receive personalized diagnostic feedback about their learning progression. Consequently, this study highlights that a learning management system which integrates CAT as an artificially intelligent component is an efficient educational evaluation tool for a remote personalized learning service.
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20

Ahmed, Shamsuddin. "Development of Self-Adaptive Artificial Neural Networks Training Algorithm." International Journal of Smart Engineering System Design 5, no. 2 (January 2003): 119–27. http://dx.doi.org/10.1080/10255810305044.

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21

Wang, S. "An Adaptive Approach to Market Development Forecasting." Neural Computing & Applications 8, no. 1 (March 1999): 3–8. http://dx.doi.org/10.1007/s005210050002.

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22

Sanabria Navarro, Fran Wilson, Juan Gabriel Bustos, and Wilder Eduardo Castellanos Hernández. "Adaptive video transmission over software defined networks." Visión electrónica 13, no. 1 (February 5, 2019): 152–61. http://dx.doi.org/10.14483/22484728.14398.

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This paper presents the results of a study on the evaluation of adaptive transmission of video streams using the DASH technique on Software Defined Networks. There are also presented in this document, the description of the tools required for the implementation of the evaluation, as well as a description of the methodology used for the development of the experiments. In addition, the results of an adaptive transmission of a video by using DASH are presented. This transmission was carried out over a software defined network emulated on MININET. The results show that DASH technique easily allows to implement video streaming services that can adapt the quality of the transmission according to the resources available in the network.
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23

Magableh, Basel, and Stephen Barrett. "Productivity Evaluation of Self-Adaptive Software Model Driven Architecture." International Journal of Information Technology and Web Engineering 6, no. 4 (October 2011): 1–19. http://dx.doi.org/10.4018/jitwe.2011100101.

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Anticipating context changes using a model-based approach requires a formal procedure for analysing and modelling context-dependent functionality and stable description of the architecture which supports dynamic decision-making and architecture evolution. This article demonstrates the capabilities of the context-oriented component-based application-model-driven architecture (COCA-MDA) to support the development of self-adaptive applications; the authors describe a state-of-the-art case study and evaluate the development effort involved in adopting the COCA-MDA in constructing the application. An intensive analysis of the application requirements simplified the process of modelling the application’s behavioural model; therefore, instead of modelling several variation models, the developers modelled an extra-functionality model. COCA-MDA reduces the development effort because it maintains a clear separation of concerns and employs a decomposition mechanism to produce a context-oriented component model which decouples the applications’ core functionality from the context-dependent functionality. Estimating the MDA approach’s productivity can help the software developers select the best MDA-based methodology from the available solutions. Thus, counting the source line of code is not adequate for evaluating the development effort of the MDA-based methodology. Quantifying the maintenance adjustment factor of the new, adapted, and reused code is a better estimate of the development effort of the MDA approaches.
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24

Akiki, Pierre A., Paul A. Akiki, Arosha K. Bandara, and Yijun Yu. "EUD-MARS: End-user development of model-driven adaptive robotics software systems." Science of Computer Programming 200 (December 2020): 102534. http://dx.doi.org/10.1016/j.scico.2020.102534.

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25

Dalwani, Ms Ranjana, and Prof Makrand Samvatsar. "Design & Development of Model Based Adaptive Testing for Software Quality Assurance." IJARCCE 6, no. 4 (April 30, 2017): 99–104. http://dx.doi.org/10.17148/ijarcce.2017.6420.

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26

Lilley, M., T. Barker, and C. Britton. "The development and evaluation of a software prototype for computer-adaptive testing." Computers & Education 43, no. 1-2 (August 2004): 109–23. http://dx.doi.org/10.1016/j.compedu.2003.12.008.

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27

Simpson, J. J., M. J. Simpson, B. Endicott-Popovsky, and V. Popovsky. "Secure Software Education." International Journal of Secure Software Engineering 1, no. 4 (October 2010): 35–61. http://dx.doi.org/10.4018/jsse.2010100103.

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This article establishes a context for secure information systems development as well as a set of models used to develop and apply a secure software production pedagogy. A generic system model is presented to support the system context development, and to provide a framework for discussing security relationships that exist between and among information systems and their applications. An asset protection model is tailored to provide a conceptual ontology for secure information system topics, and a stable logical framework that is independent of specific organizations, technologies, and their associated changes. This asset protection model provides a unique focus for each of the three primary professional communities associated with the development and operation of secure information systems. In this paper, a secure adaptive response model is discussed to provide an analytical tool to assess risk associated with the development and deployment of secure information systems, and to use as a security metric. A pedagogical model for information assurance curriculum development is then established in the context and terms of the developed secure information system models. The relevance of secure coding techniques to the production of secure systems, architectures, and organizational operations is also discussed.
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28

Holm Hansen, Christian, Pamela Warner, Richard A. Parker, Brian R. Walker, Hilary OD Critchley, and Christopher J. Weir. "Development of a Bayesian response-adaptive trial design for the Dexamethasone for Excessive Menstruation study." Statistical Methods in Medical Research 26, no. 6 (September 30, 2015): 2681–99. http://dx.doi.org/10.1177/0962280215606155.

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It is often unclear what specific adaptive trial design features lead to an efficient design which is also feasible to implement. This article describes the preparatory simulation study for a Bayesian response-adaptive dose-finding trial design. Dexamethasone for Excessive Menstruation aims to assess the efficacy of Dexamethasone in reducing excessive menstrual bleeding and to determine the best dose for further study. To maximise learning about the dose response, patients receive placebo or an active dose with randomisation probabilities adapting based on evidence from patients already recruited. The dose-response relationship is estimated using a flexible Bayesian Normal Dynamic Linear Model. Several competing design options were considered including: number of doses, proportion assigned to placebo, adaptation criterion, and number and timing of adaptations. We performed a fractional factorial study using SAS software to simulate virtual trial data for candidate adaptive designs under a variety of scenarios and to invoke WinBUGS for Bayesian model estimation. We analysed the simulated trial results using Normal linear models to estimate the effects of each design feature on empirical type I error and statistical power. Our readily-implemented approach using widely available statistical software identified a final design which performed robustly across a range of potential trial scenarios.
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29

Siam, Abderrahim, Ramdane Maamri, and Zaïdi Sahnoun. "FuzzyOrganization of Self-Adaptive Agents Based On Software Components." International Journal of Intelligent Information Technologies 10, no. 3 (July 2014): 36–56. http://dx.doi.org/10.4018/ijiit.2014070103.

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This paper addresses the development of organizational multi agent systems as a preferred solution to develop open, distributed and adaptive application. It proposes a combination between components and agents to define a flexible organizational model of MAS based on three concepts: roles, self-adaptive agents based on components and fuzzy groups. Roles are played by agents in fuzzy groups. A fuzzy group is a fuzzy set of agents characterized by a membership function expressing the partial membership of each agent to the group. The membership function expresses the degree of capacity of each agent to play a role. This work proposes a fuzzy measure of the capacity of agents to play roles. It proposes a model of auto adaptive agents constructed by automatic assembly (reassembly) of software components. Components implement required capabilities to play roles. The proposed model and introduced concepts have been tested using the Madkit platform.
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30

Yigitbas, Enes, Ivan Jovanovikj, Kai Biermeier, Stefan Sauer, and Gregor Engels. "Integrated model-driven development of self-adaptive user interfaces." Software and Systems Modeling 19, no. 5 (January 27, 2020): 1057–81. http://dx.doi.org/10.1007/s10270-020-00777-7.

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Abstract Modern user interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated and hence introduce additional complexity as they represent crosscutting concerns. In this paper, we present an integrated model-driven development approach where a classical model-driven development of UIs is coupled with a model-driven development of context-of-use and UI adaptation rules. We base our approach on the core UI modeling language IFML and introduce new modeling languages for context-of-use (ContextML) and UI adaptation rules (AdaptML). The generated UI code, based on the IFML model, is coupled with the context and adaptation services, generated from the ContextML and AdaptML model, respectively. The integration of the generated artifacts, namely UI code, context, and adaptation services in an overall rule-based execution environment, enables runtime UI adaptation. The benefit of our approach is demonstrated by two case studies, showing the development of SAUIs for different application scenarios and a usability study which has been conducted to analyze end-user satisfaction of SAUIs.
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31

Zhang, Liming, Wei Hong, Weixiong Mai, and Tao Qian. "Adaptive Fourier decomposition and rational approximation — Part II: Software system design and development." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 05 (September 2014): 1461009. http://dx.doi.org/10.1142/s0219691314610098.

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This paper proposes a new software system which provides algorithms for three variations of adaptive Fourier decomposition (AFD), including Core AFD, Cyclic AFD and Unwending AFD. The related time frequency distributions (TFDs) are also provided. Remarks are made for the algorithms design and development. The software system can be used to analyze any signal with finite energy.
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32

Shilpa, V. Jean. "Development of Adaptive LMS Filter IP on Zedboard for Hardware-software Co-design." Indian Journal of Science and Technology 9, no. 1 (January 20, 2016): 1–5. http://dx.doi.org/10.17485/ijst/2016/v9i47/108453.

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33

Schöllmann, M., M. Fulland, and H. A. Richard. "Development of a new software for adaptive crack growth simulations in 3D structures." Engineering Fracture Mechanics 70, no. 2 (January 2003): 249–68. http://dx.doi.org/10.1016/s0013-7944(02)00028-0.

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34

Qiu, Robin G., and Sanjay B. Joshi. "Structured adaptive supervisory control model and software development for a flexible manufacturing system." International Journal of Production Research 38, no. 1 (January 2000): 39–49. http://dx.doi.org/10.1080/002075400189563.

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35

Grayling, Michael John, and Graham Mark Wheeler. "A review of available software for adaptive clinical trial design." Clinical Trials 17, no. 3 (February 17, 2020): 323–31. http://dx.doi.org/10.1177/1740774520906398.

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Background/aims: The increasing cost of the drug development process has seen interest in the use of adaptive trial designs grow substantially. Accordingly, much research has been conducted to identify barriers to increasing the use of adaptive designs in practice. Several articles have argued that the availability of user-friendly software will be an important step in making adaptive designs easier to implement. Therefore, we present a review of the current state of software availability for adaptive trial design. Methods: We review articles from 31 journals published in 2013–2017 that relate to methodology for adaptive trials to assess how often code and software for implementing novel adaptive designs is made available at the time of publication. We contrast our findings against these journals’ policies on code distribution. We also search popular code repositories, such as Comprehensive R Archive Network and GitHub, to identify further existing user-contributed software for adaptive designs. From this, we are able to direct interested parties toward solutions for their problem of interest. Results: Only 30% of included articles made their code available in some form. In many instances, articles published in journals that had mandatory requirements on code provision still did not make code available. There are several areas in which available software is currently limited or saturated. In particular, many packages are available to address group sequential design, but comparatively little code is present in the public domain to determine biomarker-guided adaptive designs. Conclusions: There is much room for improvement in the provision of software alongside adaptive design publications. In addition, while progress has been made, well-established software for various types of trial adaptation remains sparsely available.
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36

Scalise, Kathleen, and Diane D. Allen. "Use of open-source software for adaptive measurement: Concerto as an R-based computer adaptive development and delivery platform." British Journal of Mathematical and Statistical Psychology 68, no. 3 (June 7, 2015): 478–96. http://dx.doi.org/10.1111/bmsp.12057.

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37

Liu, Mengnan, Chuiquan Wei, and Liyou Xu. "Development of Cooperative Controller for Dual-Motor Independent Drive Electric Tractor." Mathematical Problems in Engineering 2020 (November 11, 2020): 1–12. http://dx.doi.org/10.1155/2020/4826904.

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This paper proposes a control strategy of dual-motor independent drive electric tractor with cooperative control power take-off (PTO) and driving systems by investigating its structural characteristics to meet the field operation requirements. In the following operation mode, the vehicle speed is taken as the input signal, and the PTO motor speed is followed by the vehicle speed at a proportional ratio. Four different principles of collaborative control strategy-based stability control, namely, general closed-loop, conventional PID, adaptive fuzzy PID, and fuzzy neural network adaptive PID controls, are proposed to meet the requirements during speed change. Hardware design is divided into modules in accordance with circuit function. Software design is divided into application layer and underlying software, where the application software realizes the control strategy of the entire machine. The underlying software is based on the hardware driver of MC9S12XEP100 that connects the application layer software and hardware. A hardware-in-the-loop test platform based on dSPACE/DS1007 is built to test the function of the collaborative controller. Results show that the stabilization time of fuzzy neural network adaptive PID control is 0.024 s. Compared with the three other control modes, the settling time decreases by 0.256, 0.034, and 0.028, respectively, and the overshoot decreases to 1.6%. Root locus analysis results show that the stability of the system is the best. Under the entire machine cooperative operation mode hardware in the loop test, the PTO motor maintains the fixed target speed under the fixed speed output mode, and the PTO speed in the following mode has a good follow-up to the vehicle speed. The controller realizes the control of the power output shaft to cut between the following and standard speeds. It also meets the requirement of cooperative control in the operation of dual-motor independent drive electric tractor.
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38

Romanchuk, Vasyl, Mykhailo Klymash, Mykola Beshly, Oleksiy Panchenko, and Artur Polishchuk. "Development of software-based router model with adaptive selection of algorithms for queues servicing." Technology audit and production reserves 3, no. 2(41) (January 23, 2018): 46–54. http://dx.doi.org/10.15587/2312-8372.2018.135778.

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39

Alshoaibi. "Development of Efficient Finite Element Software of Crack Propagation Simulation using Adaptive Mesh Strategy." American Journal of Applied Sciences 6, no. 4 (April 1, 2009): 661–66. http://dx.doi.org/10.3844/ajassp.2009.661.666.

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40

M. Alshoa, Abdulnaser, A. K. Ariffin, and M. N. Almaghrabi. "Development of Efficient Finite Element Software of Crack Propagation Simulation using Adaptive Mesh Strategy." American Journal of Applied Sciences 6, no. 4 (April 1, 2009): 661–66. http://dx.doi.org/10.3844/ajas.2009.661.666.

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41

Thu Nguyet, Phan Thi, and Muslem Daud. "Computer Adaptive Test Development To Assess Students’ Psychology." JURNAL SERAMBI ILMU 22, no. 1 (March 22, 2021): 139–49. http://dx.doi.org/10.32672/si.v22i1.2760.

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Stress becomes a significantly serious issue among university students and we need efficient tools to understand it more. The aim of present study is to develop a Computerized Adaptive Testing (CAT) to measure the mentioned stress, as pioneer project in Vietnam. In this vein, an item bank of 68 items has been constructed, which is based on Likert Polytomous Scales through five subdomains: behavior, academic performance, family, lecturer and finance. The sampling of the survey is large. It has assessed 2,085 students (704 males and 1,381 females). Multidimensional Random Coefficients Multinomial Logit (MRCML) Model is applied to develop Multidimensional Stress Scales and Computerized Adaptive Testing procedure. The result findings indicate that Multidimensional Random Coefficients Multinomial Logit (MRCML) can be used to develop new scale with psychometric properties. Indicated by various fit criteria MNSQ, standard errors, Z (t-test) implemented in software ConQuest. The subdomain has a good reliability (from .857 to .798). As respect to CATs, a simulated experiment based on the empirical data is applied to evaluate the performance of the proposed computerized adaptive testing. The standard error of the estimated stress proficiencies are reported in this study. The 68 items stress data appropriate fit the Multidimensional model applied.
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42

Rodríguez-Gracia, Diego, José A. Piedra-Fernández, Luis Iribarne, Javier Criado, Rosa Ayala, Joaquín Alonso-Montesinos, and Capobianco-Uriarte Maria de las Mercedes. "Microservices and Machine Learning Algorithms for Adaptive Green Buildings." Sustainability 11, no. 16 (August 9, 2019): 4320. http://dx.doi.org/10.3390/su11164320.

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In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such as the proliferation of microservices solutions, have allowed software architects to experiment and develop new ways of building open and adaptable computer systems at runtime. Home automation, intelligent buildings, robotics, graphical user interfaces are some of the social atmosphere environments suitable in which to apply certain innovative trends. This paper presents a schema for the adaptation of Dynamic Computer Systems (DCS) using interdisciplinary techniques on model-driven engineering, service engineering and soft computing. The proposal manages an orchestrated microservices schema for adapting component-based software architectural systems at runtime. This schema has been developed as a three-layer adaptive transformation process that is supported on a rule-based decision-making service implemented by means of Machine Learning (ML) algorithms. The experimental development was implemented in the Solar Energy Research Center (CIESOL) applying the proposed microservices schema for adapting home architectural atmosphere systems on Green Buildings.
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43

Abaza, Hussein, and Ihab Sa'ad. "Adaptive Low-e Double Glazing Window." Journal of Green Building 1, no. 4 (November 1, 2006): 104–11. http://dx.doi.org/10.3992/jgb.1.4.104.

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This paper investigates the thermal performance of a new adaptive window which is seasonally reversible. The new window is similar in construction to the regular double-hung low-e windows, but can reverse its properties. In this window, the low-e coating faces the inside during the heating season, which reflects the infrared radiation to the inside. During the cooling season, the low-e coating faces the outside to reflect the outside heat. This window was tested in two test cells to evaluate its thermal performance. WINDOW5.2a software was used to predict the window thermal properties and BEANS building simulation software was used to predict the energy savings of the new window design. The simulation results showed an increase in the heat gain through the new window of up to 38% over the conventional double-glazing low-e window during the heating period for heavy thermal mass buildings, and 14% for light weight thermal mass buildings. At the same time, the window maintained its low heat gain properties in the cooling season. When used in moderate climates, the new adaptive window will significantly reduce energy consumption in buildings during both the heating and the cooling seasons.
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44

Lee, K. M., H. C. W. Lau, I. ‐K Hui, and K. ‐M Yu. "On an adaptive product development system: a hybrid database approach." Integrated Manufacturing Systems 14, no. 1 (February 2003): 57–68. http://dx.doi.org/10.1108/09576060310453353.

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Zhang, Ya, Qin He Zhang, Xiu Zhuo Fu, and Chun Xing Zhang. "Research on Piezoelectric Self-Adaptive Micro-EDM CNC System." Advanced Materials Research 569 (September 2012): 652–56. http://dx.doi.org/10.4028/www.scientific.net/amr.569.652.

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Piezoelectric self-adaptive micro-EDM can improve machining efficiency of micro-EDM effectively. To meet the requirements of micro-EDM, a computer numerical control (CNC) system based on personal computer (PC) and Mercury C863 controller is developed. The hardware structure and software structure of the CNC system are discussed in the paper. Algorithms and functions of the software are also analyzed. The CNC software is successfully designed with VC++ (2010). Extensive experiments show that the CNC system is reliable, stable, efficient and high accuracy. The new micro-EDM CNC system has a short development time and a low cost.
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46

Grachev, Sergey, Petr Skobelev, Igor Mayorov, and Elena Simonova. "Adaptive Clustering through Multi-Agent Technology: Development and Perspectives." Mathematics 8, no. 10 (September 27, 2020): 1664. http://dx.doi.org/10.3390/math8101664.

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The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering. The proposed methods provide new principles of self-organization of records and clusters, represented by software agents, making it possible to increase the adaptability of different clustering processes significantly. The paper also presents a comparative review of the methods and results recently developed in this area and their industrial applications. An ability of self-organization of items and clusters suggests a new perspective to form groups in a bottom-up online fashion together with continuous adaption previously obtained decisions. Multi-agent technology allows implementing this methodology in a parallel and asynchronous multi-thread manner, providing highly flexible, scalable, and reliable solutions. Industrial applications of the intended for solving too complex engineering problems are discussed together with several practical examples of data clustering in manufacturing applications, such as the pre-analysis of customer datasets in the sales process, pattern discovery, and ongoing forecasting and consolidation of orders and resources in logistics, clustering semantic networks in insurance document processing. Future research is outlined in the areas such as capturing the semantics of problem domains and guided self-organization on the virtual market.
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47

Malhotra, Ruchika, and Juhi Jain. "Predicting Software Defects for Object-Oriented Software Using Search-based Techniques." International Journal of Software Engineering and Knowledge Engineering 31, no. 02 (February 2021): 193–215. http://dx.doi.org/10.1142/s0218194021500054.

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Development without any defect is unsubstantial. Timely detection of software defects favors the proper resource utilization saving time, effort and money. With the increasing size and complexity of software, demand for accurate and efficient prediction models is increasing. Recently, search-based techniques (SBTs) have fascinated many researchers for Software Defect Prediction (SDP). The goal of this study is to conduct an empirical evaluation to assess the applicability of SBTs for predicting software defects in object-oriented (OO) softwares. In this study, 16 SBTs are exploited to build defect prediction models for 13 OO software projects. Stable performance measures — GMean, Balance and Receiver Operating Characteristic-Area Under Curve (ROC-AUC) are employed to probe into the predictive capability of developed models, taking into consideration the imbalanced nature of software datasets. Proper measures are taken to handle the stochastic behavior of SBTs. The significance of results is statistically validated using the Friedman test complied with Wilcoxon post hoc analysis. The results confirm that software defects can be detected in the early phases of software development with help of SBTs. This paper identifies the effective subset of SBTs that will aid software practitioners to timely detect the probable software defects, therefore, saving resources and bringing up good quality softwares. Eight SBTs — sUpervised Classification System (UCS), Bioinformatics-oriented hierarchical evolutionary learning (BIOHEL), CHC, Genetic Algorithm-based Classifier System with Adaptive Discretization Intervals (GA_ADI), Genetic Algorithm-based Classifier System with Intervalar Rule (GA_INT), Memetic Pittsburgh Learning Classifier System (MPLCS), Population-Based Incremental Learning (PBIL) and Steady-State Genetic Algorithm for Instance Selection (SGA) are found to be statistically good defect predictors.
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Zheng, Ying, and Shi Liang Zheng. "Study on Applying Component Methodology in Developing Computerized Adaptive Test System for College English." Applied Mechanics and Materials 150 (January 2012): 183–86. http://dx.doi.org/10.4028/www.scientific.net/amm.150.183.

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In the context of software reusing, component-based Software development is an emerging paradigm of development methodology. This paper studies how to apply this methodology in developing a Computerized Adaptive Test (CAT) system for college English. It describes the whole system architecture and gives some detail of Components Modeling Procedure and component repository design. The whole development process can provide valuable reference for CAT system for other disciplines.
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Batra, Dinesh, Debra VanderMeer, and Kaushik Dutta. "Extending Agile Principles to Larger, Dynamic Software Projects." Journal of Database Management 22, no. 4 (October 2011): 73–92. http://dx.doi.org/10.4018/jdm.2011100104.

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The article evaluates the feasibility of extending agile principles to larger, dynamic, and possibly distributed software development projects by uncovering the theoretical basis for agile values and principles for achieving agility. The extant literature focuses mainly on one theory – complex adaptive systems – to support agile methods, although recent research indicates that the control theory and the adaptive structuration theory are also applicable. This article proposes that at least three other theories exist that are highly relevant: transaction cost economics, social exchange theory, and expectancy theory. By employing these theories, a rigorous analysis of the Agile Manifesto is conducted. Certain agile values and principles find theoretical support and can be applied to enhance agility dynamic projects regardless of size; some agile principles find no theoretical support while others find limited support. Based on the analysis and the ensuing discussion, the authors propose a framework with five dimensions of agility: process, design, people, outcomes, and adaptation.
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Werder, Karl, and Alexander Maedche. "Explaining the emergence of team agility: a complex adaptive systems perspective." Information Technology & People 31, no. 3 (June 4, 2018): 819–44. http://dx.doi.org/10.1108/itp-04-2017-0125.

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Purpose Agile software development helps software producing organizations to respond to manifold challenges. While prior research focused on agility as a project or process phenomenon, the authors suggest that agility is an emergent phenomenon on the team level. The paper aims to discuss this issue. Design/methodology/approach Using the theory of complex adaptive systems (CASs), the study captures the multiple influencing levels of software development teams (SDTs) and their interplay with self-organization and emergence. The authors investigate three agile SDTs in different contextual environments that participate with four or more different roles each. Findings The results suggest self-organization as a central process when understanding team agility. While contextual factors often provide restriction on self-organization, they can help the team to enhance its autonomy. Research limitations/implications The theoretical contributions result from the development and test of theory grounded propositions and the investigation of mature agile development teams. Practical implications The findings help practitioners to improve the cost-effectiveness ratio of their team’s operations. Originality/value The study provides empirical evidence for the emergence of team agility in agile SDTs. Using the lens of CAS, the study suggests the importance of the team’s autonomy.
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