Academic literature on the topic 'Agile model'

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Journal articles on the topic "Agile model"

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Anes, Vitor, António Abreu, Ana Dias, and João Calado. "Agile teams’ assignment model for Scaling Agile." Procedia Computer Science 219 (2023): 1634–41. http://dx.doi.org/10.1016/j.procs.2023.01.456.

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Vernickel, Kilian, and Kevin Burger. "Agile Weiterentwicklung durch Produktinkremente/Agile Further Development through Product Increments – Procedure Model for the Continuous Development of Mechatronic Products." wt Werkstattstechnik online 111, no. 06 (2021): 469–73. http://dx.doi.org/10.37544/1436-4980-2021-06-113.

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Neue Technologien kommen mit zunehmender Geschwindigkeit auf den Markt, während Kundenanforderungen unbeständiger und weniger vorhersehbar werden. Diese VUCA-Bedingungen erfordern eine zunehmende Reaktions- und Anpas- sungsfähigkeit von Entwicklern und Prozessen. Das in diesem Beitrag präsentierte „Procedure Model for Agile Further Development“ (PM4AFD) ist hierfür ein agiler Ansatz zur Weiterentwicklung von Produkten mithilfe von Minimum Viable Product Increments (MVPIs).   New technologies are evolving rapidly, while customer requirements are becoming more volatile and less predictable. These VUCA conditions require developers and development processes to be increasingly responsive and adaptive. The Procedure Model for Agile Further Development (PM4AFD) is an agile approach for further developing products using Minimum Viable Product Increments (MVPIs).
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Kastelec, Patricija. "Model EFQM in agilnost organizacij." Revija za univerzalno odličnost 10, no. 2 (2021): 155–79. http://dx.doi.org/10.37886/ruo.2021.034.

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Research question (RV): What is the contribution of an organization that follows the EFQM model and reorganizes its organization into an agile organization? Purpose: The purpose of the research is to examine the interrelationship between the EFQM model, agility and agile organization, and consequently faster adaptability, greater performance and competitiveness of the agile organization. Method: The article was based on a review of foreign and domestic literature. We reviewed the professional literature on agility and the EFQM model. We searched a link between agility and the EFQM model. Results: We will find that there are differences between agile management and organizational culture in organizations that are agile aware from those that are not. It is essential for successful agile organization leaders to develop effective communication and interaction skills that are unique to the leader and organization. It is important that individuals in the organization adopt a shared vision, participate in a culture of trust and inclusion, while leaders encourage creativity and experimentation. Organization: An agile organization is considered to be fast (innovative, agile, adaptable) and that it is necessary to constantly renew its business. The research will draw attention to the importance and necessity of management awareness that by creating a certain organizational culture and agile management of the organization, they will achieve faster and more efficient adaptation to changes in the environment. Society: The lack of agile management and the creation of an inappropriate organizational culture has a negative impact on the satisfaction of all involved in the process (employees, customers, suppliers) and consequently on adapting to the needs of the environment. Originality: The originality of the article lies in breaking down the myths about the concept of agility and agile organization, and presenting or evaluating the obtained results with the result of differences between agile and not agile or traditional organizations. Limitations / further research: The limitation represents a small number of articles and literature selected for comparison. Based on a larger sample of articles, we would get more relevant results. We also found a few articles in Slovenian.
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Russo, Daniel. "The Agile Success Model." ACM Transactions on Software Engineering and Methodology 30, no. 4 (2021): 1–46. http://dx.doi.org/10.1145/3464938.

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Organizations are increasingly adopting Agile frameworks for their internal software development. Cost reduction, rapid deployment, requirements and mental model alignment are typical reasons for an Agile transformation. This article presents an in-depth field study of a large-scale Agile transformation in a mission-critical environment, where stakeholders’ commitment was a critical success factor. The goal of such a transformation was to implement mission-oriented features, reducing costs and time to operate in critical scenarios. The project lasted several years and involved over 40 professionals. We report how a hierarchical and plan-driven organization exploited Agile methods to develop a Command & Control (C2) system. Accordingly, we first abstract our experience, inducing a success model of general use for other comparable organizations by performing a post-mortem study. The goal of the inductive research process was to identify critical success factors and their relations. Finally, we validated and generalized our model through Partial Least Squares - Structural Equation Modelling, surveying 200 software engineers involved in similar projects. We conclude the article with data-driven recommendations concerning the management of Agile projects.
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Aoyama, Mikio. "Agile software process model." Computer Standards & Interfaces 21, no. 2 (1999): 177. http://dx.doi.org/10.1016/s0920-5489(99)92220-1.

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Masood Butt, Saad, Shahid Masood Butt, Azura Onn, Nadra Tabassam, and Mazlina Abdul Majid. "Usability Evaluation Techniques for Agile Software Model." Journal of Software 10, no. 1 (2015): 32–41. http://dx.doi.org/10.17706/jsw.10.1.32-41.

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Dias, Vasco Franqueira, and Alexandra B. Tenera. "An agile portfolio management model for the insurance sector: the APMI model." International Journal of Information Systems and Project Management 11, no. 2 (2023): 81–99. http://dx.doi.org/10.12821/ijispm110204.

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Nowadays, the increasing uncertainty and instability make it crucial for traditional companies to become more agile and able to act fast on consumer needs and expectations. Therefore, many insurance companies are seeking to increasingly adopt Agile practices to become more effective, faster, and leaner in their critical processes. On the other hand, several companies are strengthening their planning methodologies by implementing Portfolio Management models. These models enable them to manage their initiatives in a more integrated and efficient manner that is strategically aligned, minimizes complexity, and provides higher flexibility when responding to uncertainty. Given the limited scientific knowledge in combining Agile and Portfolio Management (PfM), particularly in the insurance industry, a new Agile Portfolio Management (APfM) model, the APMI – Agile Portfolio Management for insurers was designed and tested, showing how Agile and PfM international practices can be conciliated with current insurance industry-specific practices. Results revealed a high satisfaction level with the model implementation, indicating that the proposed model can foster a greater strategic alignment, increase the organization’s strategic focus, promote transversal alignment and visibility, and support the organization’s capacity coordination.
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Gürkan, Alpaslan, and Kalıpsız Oya. "Model Driven Web Application Development with Agile Practices." International Journal of Software Engineering & Applications (IJSEA) 7, no. 5 (2021): 1–11. https://doi.org/10.5281/zenodo.5513486.

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Model driven development is an effective method due to its benefits such as code transformation, increasing productivity and reducing human based error possibilities. Meanwhile, agile software development increases the software flexibility and customer satisfaction by using iterative method. Can these two development approaches be combined to develop web applications efficiently? What are the challenges and what are the benefits of this approach? In this paper, we answer these two crucial problems; combining model driven development and agile software development results in not only fast development and easiness of the user interface design but also efficient job tracking. We also defined an agile model based approach for web applications whose implementation study has been carried out to support the answers we gave these two crucial problems.
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Mahmut, Ünver. "Software Process Models and Agile Method Applicability in Industry." International Journal of Trend in Scientific Research and Development 3, no. 1 (2018): 1285–89. https://doi.org/10.31142/ijtsrd20238.

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Software process models have been developed since 1968. When software process models are implemented in the software sector, it is considered that more suitable projects will be developed in terms of customer satisfaction and cost. In this study, the use of Agile, which is a frequently used software process model, in industry is investigated. In the research, software process models are explained and industrial sectors using Agile method are examined. It has been observed that customer satisfaction, time saving, and project success increase in sectors where Agile method is applied. Likewise, the project has also increased efficiency and competence. Mahmut Ünver "Software Process Models and Agile Method Applicability in Industry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: https://www.ijtsrd.com/papers/ijtsrd20238.pdf
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Zeba-Shahzeab, Z.I.Shaheen Sajjade. "Agile Process Model for Software Development." Journal of Advancement in Software Engineering and Testing 3, no. 3 (2020): 1–9. https://doi.org/10.5281/zenodo.4281979.

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<em>Software development is that the process of observing, requiring, designing, programming, documenting, testing and bug fixing involved in creating and preserving applications, maintaining frameworks or other software components. Software Development Life Cycle (SDLC) consists of an in depth plan which needs the way to develop, maintain and replace specific software. Several software development models followed by various organizations are referred to as Waterfall Model, V-Shaped Model, and Incremental Model. However Agile is adopted to be a winning choice for software development across all industries. The features like possibility of modifications as per requirements at any stage of software development and importance given to the business values delivered instead of confirmation to project plan makes Agile unique from traditional software development models. Industries are changing their software development choice as agile methodology.&nbsp; It shows how the Agile is becoming an attractive choice for software development altogether industries across the world.</em>
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Dissertations / Theses on the topic "Agile model"

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Soundararajan, Shvetha. "Agile Requirements Generation Model: A Soft-structured Approach to Agile Requirements Engineering." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/34511.

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The agile principles applied to software engineering include iterative and incremental development, frequent releases of software, direct stakeholder involvement, minimal documentation and welcome changing requirements even late in the development cycle. The Agile Requirements Engineering applies the above mentioned principles to the Requirements Engineering process. Agile Requirements Engineering welcomes changing requirements even late in the development cycle. This is achieved by using the agile practice of evolutionary requirements which suggests that requirements should evolve over the course of many iterations rather than being gathered and specified upfront. Hence, changes to requirements even late in the development cycle can be accommodated easily. There is however, no real process to the agile approach to Requirements Engineering. In order to overcome this disadvantage, we propose to adapt the Requirements Generation Model (a plan-driven Requirements Engineering model) to an agile environment in order to structure the Agile Requirements Engineering process. The hybrid model named the Agile Requirements Generation Model is a soft-structured process that supports the intents of the agile approach. This model combines the best features of the Requirements Generation Model and Agile Software Development.<br>Master of Science
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Deekonda, Rahul, and Prithvi Raj Sirigudi. "Assessment of Agile Maturity Models : A Survey." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13230.

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Context. In recent years Agile has gained lots of importance in the fieldof software development. Many organization and software practitioners hasalready adopted agile practice due to its flexibility in nature. Hence, agiledevelopment methodologies have been replaced to traditional developmentmethods. Agile is a family of several methodologies namely Scrum. eXtremeprogramming (XP) and several others. These several methods areembedded with different set of agile practices for the organizations to adoptand implement for their development process. But there is still a need forempirical research to understand the benefits of implementing the Agilepractices which contributes to the overall success of accomplishment of thesoftware project. Several agile maturity models have been published over adecade but not all of the models have been empirically validated. Hence,additional research in the context of agile maturity is essential and needed. Objectives. This study focus on providing a comprehensive knowledgeon the Agile Maturity Models which help in guiding the organizations regardingthe implementation of Agile practices. There are several maturitymodels published with different set of Agile practices that are recommendedto the industries. The primary aim is to compare the agile maturity maturitymodels and to investigate how the agile practices are implemented inthe industry Later the benefits and limitations faced by the software practitionersdue to implementation of agile practices are identified. Methods. For this particular research an industrial survey was conductedto identify the agile practices that are implemented in the industry. Inaddition, this survey aims at identifying the benefits and limitations of implementingthe agile practices. A literature review is conducted to identifythe order of agile practices recommended from the literature in agile MaturityModels. Results. From the available literature nine Maturity Models have beenextracted with their set of recommended agile practices. Then the resultsfrom the survey and literature are compared and analyzed to see if thereexist any commonalities or differences regarding the implementation of agilepractices in a certain order. From the results of the survey the benefitsand limitations of implementing the Agile practices in a particular order areidentified and reported. Conclusions. The findings from the literature review and the survey resultsin evaluating the agile maturity models regarding the implementationof agile practices.
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Bodicherla, Saikumar, and Divyani Pamulapati. "Knowledge Management Maturity Model for Agile Software Development." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17659.

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Context: Knowledge is the major aspect of an organization which enables the enterprise to be more productive and to deliver the high complexity services. Knowledge management plays a key role in agile software development because it supports cultural infrastructure esteems like collaboration, communication, and knowledge transfer. This research aims to explore how organizations that adopts Agile Software Development (ASD) implement knowledge management utilizing practices that supports the key process areas. Several knowledge management maturity models have been proposed over a decade ago but not all of the models that is specially stated knowledge Management Maturity Model (KMMM) for Agile software development. To fulfil this research gap, we introduce the maturity model which emphasize knowledge management in ASD among the practitioners. This maturity model helps to assess their knowledge management in organization and provides a road map to the organizations for any further improvement required in their processes.  Objectives: In this thesis, we investigate the key process areas of knowledge management maturity models that could support agile software development. Through investigation about the key process areas, we found that the organizations should emphasis on key process areas and its practices in order to improve the software process. The objectives of this research include: Explore the key process areas and practices of knowledge management in the knowledge management maturity models.  Identify the views of practitioners on knowledge management practices and key process areas for Agile software development. To propose the maturity model for Knowledge management in Agile software development among the practitioner’s opinions.  Methods: In this research, we conducted two methods: Systematic mapping and Survey to fulfil our aim and objectives. We conducted Systematic mapping study through the snowballing process to investigate empirical literature about Knowledge management maturity models. To triangulate the systematic mapping results, we conducted a survey. From the survey results, we obtained the responses and were analyzed statistically using descriptive statistics. Results: From Systematic mapping, we identified 18 articles and analyzed 24 practices of Knowledge management maturity models. These practices are indicated in key process areas such as process, people, technology. Through the systematic mapping results, 9 KM practices that were found from KMMM literature were listed in the survey questionnaire and answered by software engineering practitioners. Moreover, 5 other new practices for agile have suggested in the survey that was not found in KMMM literature. To address the systematic mapping and survey results, we propose the maturity model which emphasize knowledge management practices in ASD among the practitioners. Conclusions: This thesis lists the main elements of practices that are utilized by the organization and also show the usage of maturity levels at each practice in detail. Furthermore, this thesis helps the organization's to assess the current levels of maturity that exist to each practice in a real process. Hence, the researchers can utilize the model from this thesis and further they can improve their Km in organizations.
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Naughton, S. H. "Developing an agile supply chain model for SMEs." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3006560/.

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Rising worldwide competition is making it increasingly difficult for SME organisations to compete in the marketplace as traditional means of manufacture, and modes of delivery are being changed through technological advancements. In line with these factors, organisations are ever more capable of producing goods that are more bespoke and personalised than in the past and within the price ranges and affordability levels of demanding markets. Whilst large organisations have the power to enforce supply chain compliance in order to meet these changes, it is not always the case for SMEs. The agile supply chain philosophy moves away from traditional methods under which large organisations enforce supply chain compliance, and embraces the concept of supply chain agility that allows the supply chain as a whole to move forward as one and share the benefits as a developed and cohesive unit. Such a philosophy should be to the advantage of all organisations, but ought to be of particular interest to SMEs as its use could assist in improving their competitiveness. This thesis is primarily concerned with the development of agile supply chains within SME organisations. The research sets out to develop the means through which SMEs can develop their agile supply chains so as to make them more efficient and competitive both now and in the future. The research is set upon existing theories and models, particularly following the works of Sharifi et al. (2006), Ismail and Sharifi (2006), Ismail et al., (2006) and Ismail et al., (2011) so as to contribute further to their concepts theoretically and to also present the practical means by which such frameworks can be utilised in industry. The research provides a link between manager perceptions and underlying factors that affect their organisations and how they relate to the markets served. This has been achieved through the development of a model through which SMEs can analyse their present operating position, consider new product features, potential supply chain partners and the means through which to develop their agile supply chains as a complete unit. Using case study methodology, some extensive fieldwork has been undertaken to examine the ideas and extend our understanding of the approaches to build and sustain agile networks for organisations introducing products into markets. The study has assisted in reforming and developing the initial models into practical tools. Further to this, the research offers a series of developmental roadmaps that can be followed by SMEs to assist in the progress of developing agility into their supply chains. The outcomes from the research provide a contribution to academic theory and practice and build upon previous research, taking it forward with practical tools that organisations can utilise. The findings provide evidence for the benefits that can be derived from the developed models such that their application could be realistically considered within a practical setting.
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Sivander, Fredrik. "An Agile Procurement Model that Facilitates Agile Execution of Projects : A Case Study at Telia Company." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28647.

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Since agile execution of projects has become more frequently used the discovery that the surroundings of the projects are not always compatible has been made. The problematic within the area is traditional accounting restrictions and cost estimation. The purpose with this research is to develop a procurement method that facilitates for agile execution of projects. Previous research proves that the agile principles can be used in a procurement process successfully, but with focus on facilitating on the procurement itself and not on the agile execution. This research includes theories about the agile estimation models and requirement prioritizing methods. The method used to complete this research is design science, which includes six steps to ensure reproducibility and validity. This research resulted in a procurement method that includes three methods and two phases with focus on minimizing the pre-study, with focus on only the most important requirements only. The procurer will then attend the agile execution and both procurer and executer enter the project with the mindset that the initial budget- and time estimation will be increased. Both procurer and executor works together towards the same goal, maximum customer value for minimum cost. The method is tested beside two projects conducted by Telia Company and the test result is that the generated solution reduces the total cost of the project and time to generate project result and facilitates for an agile execution. This research concludes that an agile procurement can facilitate agile execution of project but before agile procurement can be a recommendation more tests are needed.
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Anderzon, Samuel, and Filip Davidsson. "Agile Practices in Production Development : Investigation of how agile practices may be applied in a production development context and what the expected effects are." Thesis, Jönköping University, JTH, Produktionsutveckling, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53736.

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Globalization has continuously brought an increased competition among companies, which entails a need for faster and more frequent deliveries of new products. Traditional project management methods, such as stage-gate and waterfall, are commonly used in production development projects and builds on a sequential approach. These methods have proven to have some disadvantages in flexibility, long lead times and it often creates communication barriers between the actors at each stage. The software industry has already encountered these obstacles and responded by introducing agile project management. Which improves the adaptability and allow changes to be made, due to new requirements from stakeholders or customers, throughout the entire development process. However, it remains unknown how agile models can improve production development. The purpose of this study was therefore to investigate how agile models can be applied to production development and what the effects are.  The authors have performed a case study at eight different companies within the automotive industry. The purpose of it has been to gain a deeper understanding about the case companies current production development processes and review how familiar the organizations are with the concept of agile project management. The extraction of the empirical data was conducted by questionnaires, interviews, and document reviews. An analyzation was done by comparing the empirical findings with the theoretical background out of eleven different categories that relates to project management (e.g., project goals, process, customer integration etc.). The analyzation concluded that the case company exclusively conducts their production development project by using a sequential approach.  The analyzation and the eleven categories where, together with the theoretical background about agile project management, later used to create the result by brainstorming different practices to become more agile. The results are presented out of three different scenarios, depending how agile the companies would like to be. For instance, are two process models suggested, one that is completely agile and one that is a hybrid of an agile and a stage-gate. Furthermore, are the implementation of self-organized teams, holistic approach towards internal and external partners, and reduced demand for documentation some of the practices that are suggested. Additionally, are three considerable aspects for the implementation presented.  The expected outcome and effects of applying these practices are discussed in the final chapter. Some of these outcomes are a company culture that will attract and retain talented personnel, where shared responsibilities and authorities triggers the employees to an increased commitment and sense of ownership towards their projects. Furthermore, are the companies expected to experience a more flexible and responsive approach towards conducting production development projects with a high focus on customer requirements and creating customer value.
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Ramadoss, Balaji. "Ontology Driven Model for an Engineered Agile Healthcare System." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5110.

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Healthcare is in urgent need of an effective way to manage the complexity it of its systems and to prepare quickly for immense changes in the economics of healthcare delivery and reimbursement. Centers for Medicare & Medicaid Services (CMS) releases policies affecting inpatient and long-term care hospitals policies that directly affect reimbursement and payment rates. One of these policy changes, a quality-reporting program called Hospital Inpatient Quality Reporting (IQR), will effect approximately 3,400 acute-care and 440 long-term care hospitals. IQR sets guidelines and measures that will contain financial incentives and penalties based on the quality of care provided. CMS, the largest healthcare payer, is aggressively promoting high quality of care by linking payment incentives to outcomes. With CMS assessing each hospital's performance by comparing its Quality Achievements and Quality Improvement scores, there is a growing need and demand to understand these quality measures under the context of patient care, data management and system integration. This focus on patient-centered quality care is difficult for healthcare systems due to the lack of a systemic view of the patient and patient care. This research uniquely addresses the hospital's need to meet these challenges by presenting a healthcare specific framework and methodology for translating data on quality metrics into actionable processes and feedback to produce the desired quality outcome. The solution is based on a patient-care level process ontology, rather than the technology itself, and creates a bridge that applies systems engineering principles to permit observation and control of the system. This is a transformative framework conceived to meet the needs of the rapidly changing healthcare landscape. Without this framework, healthcare is dealing with outcomes that are six to seven months old, meaning patients may not have been cared for effectively. In this research a framework and methodology called the Healthcare Ontology Based Systems Engineering Model (HOB-SEM) is developed to allow for observability and controllability of compartmental healthcare systems. HOB-SEM applies systems and controls engineering principles to healthcare using ontology as the method and the data lifecycle as the framework. The ontology view of patient-level system interaction and the framework to deliver data management and quality lifecycles enables the development of an agile systemic healthcare view for observability and controllability
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Léauté, Thomas. "Coordinating agile systems through the model-based execution of temporal plans." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34681.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.<br>Includes bibliographical references (p. 149-155).<br>Agile autonomous systems are emerging, such as unmanned aerial vehicles (UAVs), that must robustly perform tightly coordinated time-critical missions; for example, military surveillance or search-and-rescue scenarios. In the space domain, execution of temporally flexible plans has provided an enabler for achieving the desired coordination and robustness, in the context of space probes and planetary rovers, modeled as discrete systems. We address the challenge of extending plan execution to systems with continuous dynamics, such as air vehicles and robot manipulators, and that are controlled indirectly through the setting of continuous state variables. Systems with continuous dynamics are more challenging than discrete systems, because they require continuous, low-level control, and cannot be controlled by issuing simple sequences of discrete commands. Hence, manually controlling these systems (or plants) at a low level can become very costly, in terms of the number of human operators necessary to operate the plant. For example, in the case of a fleet of UAVs performing a search-and-rescue scenario, the traditional approach to controlling the UAVs involves providing series of close waypoints for each aircraft, which incurs a high workload for the human operators, when the fleet consists of a large number of vehicles.<br>(cont.) Our solution is a novel, model-based executive, called Sulu, that takes as input a qualitative state plan, specifying the desired evolution of the state of the system. This approach elevates the interaction between the human operator and the plant, to a more abstract level where the operator is able to "coach" the plant by qualitatively specifying the tasks, or activities, the plant must perform. These activities are described in a qualitative manner, because they specify regions in the plant's state space in which the plant must be at a certain point in time. Time constraints are also described qualitatively, in the form of flexible temporal constraints between activities in the state plan. The design of low-level control inputs in order to meet this abstract goal specification is then delegated to the autonomous controller, hence decreasing the workload per human operator. This approach also provides robustness to the executive, by giving it room to adapt to disturbances and unforeseen events, while satisfying the qualitative constraints on the plant state, specified in the qualitative state plan. Sulu reasons on a model of the plant in order to dynamically generate near-optimal control sequences to fulfill the qualitative state plan. To achieve optimality and safety, Sulu plans into the future, framing the problem as a disjunctive linear programming problem.<br>(cont.) To achieve robustness to disturbances and maintain tractability, planning is folded within a receding horizon, continuous planning and execution framework. The key to performance is a problem reduction method based on constraint pruning. We benchmark performance using multi-UAV firefighting scenarios on a real-time, hardware-in-the-loop testbed.<br>by Thomas Léauté.<br>S.M.
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Grancini, Carlo. "Initial validation of an agile coupled atmosphere-ocean general circulation model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25439/.

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Mathematical models based on physics, chemistry and biology principles are one of the main tools to understand climate interactions, variability and sensitivity to forcings. Model performance must be validated checking that results are consistent with actual/observed climate. This work describes the initial validation of a new intermediate complexity, coupled climate model based on a set of existing atmosphere, ocean and sea-ice models. The model, developed and made available by the International Centre for Theoretical Physics (ICTP), is based on the widely used SPEEDY atmospheric model. Limited literature is available for its version, coupled to the NEMO ocean model referred to as SPEEDY-NEMO. The focus of this study is on the adaptation and validation of this model. A long-term spin-up run with constant present-day forcing has been performed to achieve a steady-state climate. The simulated climate has then been compared with observations and reanalyses of the recent past. The initial validation has shown that simulations spanning a thousand years can be easily run. The model does not require many h/w resources and therefore significant size samples can be generated if needed. Our results prove that long timescale, stable simulations are feasible. The model reproduces the main features of Earth’s mean climate and variability, despite the use of a fairly limited resolution grid, simple parameterizations and a limited range of physical processes. Ocean model outputs have not been assessed. However, a clear El Niño signal in the simulated Sea Surface Temperatures (SSTs) data and arctic sea ice extent show that the ocean model behaviour is close to observations. According to the results, the model is a promising tool for climate studies. However, to understand its full potential the validation should be improved and extended with an analysis of ocean variables and targeted simulations with modified conditions to evaluate model behaviour under different conditions
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Tkachuk, M. V., and T. F. Abbasov. "An operating model for dynamic requirements management in agile software development." Thesis, NTU "KhPI", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38080.

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Books on the topic "Agile model"

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editor, Margaria-Steffen Tiziana 1964, ed. Process design for natural scientists: An agile model-driven approach. Springer, 2014.

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Smith, Bradford C. How Does Learning Agile Business Leadership Differ? Exploring a Revised Model of the Construct of Learning Agility in Relation to Executive Performance. [publisher not identified], 2015.

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Ita, Richardson, and Ó. hAodha Mícheál 1969-, eds. Agile development in the Irish software industry: Models for change. Cambridge Scholars Pub., 2009.

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Scherer, Eric. Shop Floor Control - A Systems Perspective: From Deterministic Models towards Agile Operations Management. Springer Berlin Heidelberg, 1998.

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1966-, Scherer Eric, ed. Shop floor control: A systems perspective : from deterministic models towards agile operations management. Springer, 1998.

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Lankhorst, Marc. Agile Service Development: Combining Adaptive Methods and Flexible Solutions. Springer Berlin Heidelberg, 2012.

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Perring, Freida. Agile Model : How to Master Agile Software Development Practices: How to Execute Agile Project Management. Independently Published, 2021.

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Malakar, Sudipta. Agile DevOps Self-Assessment Maturity Model: Agile DevOps Self-Assessment Nuts & Bolts. Independently Published, 2019.

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Lano, Kevin. Agile Model-Based Development Using UML-RSDS. Taylor & Francis Group, 2017.

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Lano, K. Agile Model-Based Development Using Uml-rsds. Taylor & Francis Group, 2021.

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Book chapters on the topic "Agile model"

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Hanser, Eckhart. "MAP – Meta Agile Process Model." In Agile Prozesse – Agile Teams. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-70819-4_9.

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Dalton, Jeff. "Kano Model." In Great Big Agile. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4206-3_37.

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Freedman, Rick. "The Agile Consulting Model." In The Agile Consultant. Apress, 2016. http://dx.doi.org/10.1007/978-1-4302-6053-0_13.

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Costa, Raone, Raphael Rodrigues, and Alessandra Costa Smolenaars Dutra. "Application of Scrum Maturity Model in SoftDesign Company." In Agile Methods. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55907-0_4.

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Moreira, Mario E. "Ready, Implement, Coach, and Hone (RICH) Deployment Model." In Being Agile. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5840-7_7.

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Slogar, Andreas. "Das Viable System Model (VSM)." In Die agile Organisation. Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446463967.004.

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Slogar, Andreas. "Das Viable System Model (VSM)." In Die agile Organisation. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9783446456150.004.

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Rumpe, Bernhard. "Model-Based Tests." In Agile Modeling with UML. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58862-9_7.

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Corrêa Rodrigues, Adriana, and Rafaela Mantovani Fontana. "Evaluation of an Agile Maturity Model: Empirical Evidences for Agility Assessments." In Agile Methods. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14310-7_4.

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Bergel, Alexandre. "The Perceptron Model." In Agile Artificial Intelligence in Pharo. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5384-7_1.

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Conference papers on the topic "Agile model"

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Peres, Angela Lima, Tiago Da Silva, Fernando Selleri Silva, Felipe Furtado Soares, Carlos Rosemberg, and Silvio Romero. "AGILEUX Model: Towards a Reference Model on Integrating UX in Developing Software Using Agile Methodologies." In 2014 Agile Conference (AGILE). IEEE, 2014. http://dx.doi.org/10.1109/agile.2014.15.

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Ide, Masahiro, Yukio Amagai, Mikio Aoyama, and Yasuhiro Kikushima. "A Lean Design Methodology for Business Models and Its Application to IoT Business Model Development." In 2015 Agile Conference (AGILE). IEEE, 2015. http://dx.doi.org/10.1109/agile.2015.8.

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Washizaki, Hironori, Kiyoshi Honda, and Yoshiaki Fukazawa. "Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model." In 2015 Agile Conference (AGILE). IEEE, 2015. http://dx.doi.org/10.1109/agile.2015.19.

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Giese, Holger, Leen Lambers, and Christian Zöllner. "From classic to agile." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3417990.3418743.

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Shinkle, Christopher M. "Applying the Dreyfus Model of Skill Acquisition to the Adoption of Kanban Systems at Software Engineering Professionals (SEP)." In 2009 Agile Conference (AGILE). IEEE, 2009. http://dx.doi.org/10.1109/agile.2009.25.

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Lano, Kevin, Sobhan Yassipour-Tehrani, and M. A. Umar. "Automated Requirements Formalisation for Agile MDE." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00030.

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Mairon, Klaus, Martin Buchheit, Martin Knahl, and Shirley Atkinson. "Making MDD Agile : The Agile Model-Driven Method." In 4th International Conference on Image Processing and Pattern Recognition (IPPR 2018). Academy & Industry Research Collaboration Center (AIRCC), 2018. http://dx.doi.org/10.5121/csit.2018.80508.

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Lano, Kevin, S. Fang, H. Alfraihi, and S. Kolahdouz-Rahimi. "Simplified Specification Languages for Flexible and Agile Modelling." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00074.

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Lano, Kevin, Howard Haughton, Ziwen Yuan, and Hessa Alfraihi. "Program Abstraction and Re-Engineering: An Agile MDE Approach." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00050.

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Power, Ken. "Stakeholder Identification in Agile Software Product Development Organizations: A Model for Understanding Who and What Really Counts." In 2010 AGILE Conference. IEEE, 2010. http://dx.doi.org/10.1109/agile.2010.17.

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Reports on the topic "Agile model"

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Sapp, Brandon, Melissa Harvey, Marion Toussaint, Sylvere Krima, Allison Barnard Feeney, and Herve Panetto. Agile for Model-Based-Standards Development. National Institute of Standards and Technology, 2021. http://dx.doi.org/10.6028/nist.ams.100-40.

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Kjeldgaard, E. A., D. A. Jones, G. F. List, and M. A. Tumquist. Planning and scheduling for agile manufacturers: The Pantex Process Model. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/645535.

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Vélez, Diego, Gabriela Rocha, Izabella Sant’Anna, et al. How Do Disruptive Innovators Prepare Todays Students to be Tomorrows Workforce?: Agile Learning Model. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005313.

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Abstract:
In the dynamic landscape of modern education, addressing the diverse needs of students while preparing them for the challenges of the 21st century is a paramount task. Laboratoria, a pioneering social impact organization, has crafted an innovative learning model grounded in agile principles to empower women in Latin America with the skills required for success in the tech industry. This paper offers an insightful exploration of “Laboratorias Agile Learning Framework,” unveiling its key components and the transformative impact it has on students.
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Mallon, Lawrence G. Strategic Mobility 21: Southern California Agile Supply Network Simulation Model, Architecture Report. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada458514.

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Willenbring, James M., Roscoe Ainsworth Bartlett, and Michael Allen Heroux. TriBITS lifecycle model. Version 1.0, a lean/agile software lifecycle model for research-based computational science and engineering and applied mathematical software. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1038225.

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Thayer, Patrick M. Integration of the Munitions Agile Combat Support Model (MACSM) into LOGCAT and the JFACC Logistics Planning (JLP) Tools. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada377161.

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Kelley, B., H. Scott, C. Sun, and N. Venethongkham. Energy Resilience for Mission Assurance: Agile Co-simulation for Cyber Energy System Security (ACCESS), Model Advancements for Resilience Analysis. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1883445.

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Kelley, B., H. Scott, C. Sun, N. Venethongkham, and S. Smith. Energy Resilience for Mission Assurance, Agile Co-simulation for Cyber Energy System Security (ACCESS) Model Advancements for Resilience Analysis. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2282431.

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Krhutová, Lenka, Petr Šaloun, Kamila Vondroušová, et al. Výzkum a vývoj podpůrných sítí a informačních systémů pro neformální pečující o osoby po cévních mozkových příhodách. Ostravská univerzita, 2021. http://dx.doi.org/10.15452/vsouhrntacr.2021.

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The summary research report describes and summarizes the goals, course and results of the TAČR–VISNEP project. The aim of the experimental development project was to create an information system (IS) for informal carers (ICs) for a person after stroke using modern information technologies in the technical and non-technical spheres of research. IS will allow users to obtain relevant, timely and interconnected information on support networks to prevent their possible social isolation and exclusion, physical and psychological exhaustion, health disorders and other risk factors in their difficult life situation. The purpose of IS is to contribute to improved awareness of ICs support systems across other long-term care providers, in particular public administration, general practitioners etc. The intent of the project was to create and verify a pilot model of IS in Moravian-Silesian Region, which can subsequently be applied in other regions and / or other target ICs groups. The presented results of the project are based on data obtained by research procedures of qualitative and quantitative methodology in the process of agile software development.
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Zhang, Fumin. YIP: Generic Environment Models (GEMs) for Agile Marine Autonomy. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada590320.

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