Bibliografías temáticas / Adaptive software development

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Literatura académica sobre el tema "Adaptive software development"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 1 de febrero de 2022

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Artículos de revistas sobre el tema "Adaptive software development"

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Pfleeger, S. L. "Adaptive Software Development [Books]". IEEE Spectrum 37, n.º 5 (mayo de 2000): 10–14. http://dx.doi.org/10.1109/mspec.2000.842129.

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Rizwan Jameel Qureshi, M. y S. A. Hussain. "An adaptive software development process model". Advances in Engineering Software 39, n.º 8 (agosto de 2008): 654–58. http://dx.doi.org/10.1016/j.advengsoft.2007.08.001.

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Jain, Parita, Arun Sharma y Laxmi Ahuja. "Software Maintainability Estimation in Agile Software Development". International Journal of Open Source Software and Processes 9, n.º 4 (octubre de 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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Ye, Eun-Suk, Keun-Hyuk Yeom y Mi-Kyeong Moon. "Product-Line Architecture Development for Self-Adaptive Software". KIPS Transactions:PartD 15D, n.º 3 (30 de junio de 2008): 361–74. http://dx.doi.org/10.3745/kipstd.2008.15-d.3.361.

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Yau, Stephen S., Nong Ye, Hessem S. Sarjoughian, Dazhi Huang, Auttawut Roontiva, Mustafa Baydogan y Mohammed A. Muqsith. "Toward Development of Adaptive Service-Based Software Systems". IEEE Transactions on Services Computing 2, n.º 3 (julio de 2009): 247–60. http://dx.doi.org/10.1109/tsc.2009.17.

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Zhao, Yongwang, Zhuqing Li, Hualei Shen y Dianfu Ma. "Development of global specification for dynamically adaptive software". Computing 95, n.º 9 (1 de febrero de 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, n.º 9 (septiembre de 2016): 943–51. http://dx.doi.org/10.17706/jsw.11.9.943-951.

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Meso, Peter y Radhika Jain. "Agile Software Development: Adaptive Systems Principles and Best Practices". Information Systems Management 23, n.º 3 (junio de 2006): 19–30. http://dx.doi.org/10.1201/1078.10580530/46108.23.3.20060601/93704.3.

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Mezini, Mira y Karl Lieberherr. "Adaptive plug-and-play components for evolutionary software development". ACM SIGPLAN Notices 33, n.º 10 (octubre de 1998): 97–116. http://dx.doi.org/10.1145/286942.286950.

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Pahl, Claus. "Adaptive development and maintenance of user-centric software systems". Information and Software Technology 46, n.º 14 (noviembre de 2004): 973–86. http://dx.doi.org/10.1016/j.infsof.2004.04.004.

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Tesis sobre el tema "Adaptive software development"

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Taborga, Jorge. "Toward Adaptive Stage Development in Software Scrum Teams". Thesis, Saybrook University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10930703.

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Over the last 70 years, teams have become the ubiquitous unit of work in our organizations. The software industry heavily utilizes the Scrum methodology to develop software. Scrum is a team-based methodology that requires the constant formation and development of team capabilities. Researchers and practitioners dealing with work team dynamics have relied on the popular team developmental stages of forming, storming, norming, and performing, defined by Dr. Bruce Tuckman in 1965. However, this framework was conceived primarily from articles dealing with therapy groups and not modern teams. This study expands the body of research in work team stage development applied to Scrum, a methodology that itself has no social science foundation and minimal theoretical coverage.

A combined case study and grounded theory method is used to leverage the strengths of both to investigate the developmental stage of 5 Scrum teams at a high-tech company. A questionnaire along with team interviews were utilized to gather data on how teams relate to developmental factors found in the literature. Descriptive analytics were leveraged to uncover the questionnaire findings, and grounded theory analysis was applied to code interview answers into usable concepts, categories, and themes. Themes were further explored concerning their causal relationships.

The study proposed and validated 12 theoretical factors that contribute to the stage development of Scrum teams across 4 distinct stages. These factors interconnect and form 4 quadrants with unique dynamics associated with a team’s mission, structure, execution, and teaming. Furthermore, higher stage teams proved to be self-managed and adaptable and able to handle higher task complexity. Leaders were observed shifting roles as teams evolved through stages. This latter finding is consistent with the theoretical model of Kozlowski, Watola, Jensen, Kim, and Botero. The research also identified common challenges that teams encounter in their development.

The findings from this study can help organizations who practice Scrum become more intentional about the development of their teams toward adaptability. A concerted effort by software organizations to optimize the evolution of teams across the factors found in the study could yield significant benefits, particularly for missions dealing with high complexity and innovation needs.

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Merkel, Robert Graham y robert merkel@benambra org. "Analysis and enhancements of adaptive random testing". Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20050804.144747.

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Random testing is a standard software testing method. It is a popular method for reli-ability assessment, but its use for debug testing has been opposed by some authorities. Random testing does not use any information to guide test case selection, and so, it is argued, testing is less likely to be effective than other methods. Based on the observation that failures often cluster in contiguous regions, Adaptive Random Testing (ART) is a more effective random testing method. While retaining random selection of test cases, selection is guided by the idea that tests should be widely spread throughout the input domain. A simple way to implement this concept, FSCS-ART, involves randomly generating a number of candidates, and choosing the candidate most widely spread from any already-executed test. This method has already shown to be up to 50% more effective than random testing. This thesis examines a number of theoretical and practical issues related to ART. Firstly, an theoretical examination of the scope of adaptive methods to improve testing effectiveness is conducted. Our results show that the maximum improvement in failure detection effectiveness possible is only 50% - so ART performs close to this limit on many occasions. Secondly, the statistical validity of the previous empirical results is examined. A mathematical analysis of the sampling distribution of the various failure-detection effectiveness methods shows that the measure preferred in previous studies has a slightly unusual distribution known as the geometric distribution, and that that it and other measures are likely to show high variance, requiring very large sample sizes for accurate comparisons. A potential limitation of current ART methods is the relatively high selection overhead. A number of methods to obtain lower overheads are proposed and evaluated, involving a less-strict randomness or wide-spreading criterion. Two methods use dynamic, as-needed partitioning to divide the input domain, spreading test cases throughout the partitions as required. Another involves using a class of numeric sequences called quasi-random sequences. Finally, a more efficient implementation of the existing FSCS-ART method is proposed using the mathematical structure known as the Voronoi diagram. Finally, the use of ART on programs whose input is non-numeric is examined. While existing techniques can be used to generate random non-numeric candidates, a criterion for 'wide spread' is required to perform ART effectively. It is proposed to use the notion of category-partition as such a criterion.
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Azizi, Maral. "Application of Adaptive Techniques in Regression Testing for Modern Software Development". Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1538762/.

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In this dissertation we investigate the applicability of different adaptive techniques to improve the effectiveness and efficiency of the regression testing. Initially, we introduce the concept of regression testing. We then perform a literature review of current practices and state-of-the-art regression testing techniques. Finally, we advance the regression testing techniques by performing four empirical studies in which we use different types of information (e.g. user session, source code, code commit, etc.) to investigate the effectiveness of each software metric on fault detection capability for different software environments. In our first empirical study, we show the effectiveness of applying user session information for test case prioritization. In our next study, we apply learning from the previous study, and implement a collaborative filtering recommender system for test case prioritization, which uses user sessions and change history information as input parameter, and return the risk score associated with each component. Results of this study show that our recommender system improves the effectiveness of test prioritization; the performance of our approach was particularly noteworthy when we were under time constraints. We then investigate the merits of multi-objective testing over single objective techniques with a graph-based testing framework. Results of this study indicate that the use of the graph-based technique reduces the algorithm execution time considerably, while being just as effective as the greedy algorithms in terms of fault detection rate. Finally, we apply the knowledge from the previous studies and implement a query answering framework for regression test selection. This framework is built based on a graph database and uses fault history information and test diversity in attempt to select the most effective set of test cases in term of fault detection capability. Our empirical evaluation of this study with four open source programs shows that our approach can be effective and efficient by selecting a far smaller subset of tests compared to the existing techniques.
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Pereira, Carlos Diego Cavalcanti. "X-PRO (Extreme Software Process): Um Framework para Desenvolvimento Eficiente de Software Baseado em Metodologias Ágeis". Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/11278.

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Submitted by Lucelia Lucena (lucelia.lucena@ufpe.br) on 2015-03-06T18:19:42Z No. of bitstreams: 2 DISSERTAÇÃO Carlos Diego Cavalcanti Pereira.pdf: 4207386 bytes, checksum: 1b429f9663fd012cb9da480f02ee5391 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)
Made available in DSpace on 2015-03-06T18:19:42Z (GMT). No. of bitstreams: 2 DISSERTAÇÃO Carlos Diego Cavalcanti Pereira.pdf: 4207386 bytes, checksum: 1b429f9663fd012cb9da480f02ee5391 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014-03-18
As metodologias ágeis de desenvolvimento de software emergiram como alternativa para processos prescritivos, os quais são classificados como excessivamente formais. Com objetivo de viabilizar entregas frequentes, processos adaptáveis, flexíveis e focados no cliente, as metodologias ágeis se tornaram referência sobre como produzir software de forma produtiva. Contudo, com objetivo de tornar o processo mais simples, essas abordagens invariavelmente incorrem em problemas como: modelos pouco generalistas para cobrir todo o ciclo de vida da Engenharia de Software; foco em disciplinas específicas do processo de software; subestimação de aspectos relevantes em iniciativas de desenvolvimento, como esforços de arquitetura, design e documentação; e indicação para equipes e projetos de pequena escala. A proposta desta dissertação de mestrado é propor um framework de processo eficiente de desenvolvimento de software, o qual se baseia nos ideários das metodologias ágeis, porém cobre todo o ciclo de vida de projeto desde a concepção, gestão, implementação e entrega. O framework inclui ferramentas como princípios, valores, atividades, artefatos e práticas específicas, incluindo esforços como arquitetura, design e documentação, concebendo um processo ágil, eficiente e extremamente produtivo para projetos de concepção e manutenção software, independentemente da sua escala.
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Nilsson, Daniel y Henrik Norin. "Adaptive QoS Management in Dynamically Reconfigurable Real-Time Databases". Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2800.

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During the last years the need for real-time database services has increased due to the growing number of data-intensive applications needing to enforce real-time constraints. The COMponent-based Embedded real-Time database (COMET) is a real-time database developed to meet these demands. COMET is developed using the AspeCtual COmponent-based Real-time system Development (ACCORD) design method, and consists of a number of components and aspects, which can be composed into a number of different configurations depending on system demands, e.g., Quality of Service (QoS) management can be used in unpredictable environments.

In embedded systems with requirementson high up-time it may not be possible to temporarily shut down the system for reconfiguration. Instead it is desirable to enable dynamic reconfiguration of the system, exchanging components during run-time. This in turn sets demands on the feedback control of the system to adjust to these new conditions, since a new time variant system has been created.

This thesis project implements improvements in COMET to create a more stable database suitable for further development. A mechanism for dynamic reconfiguration of COMET is implemented, thus, enabling components and aspects to be swapped during run-time. Adaptive feedback control algorithms are also implemented in order to better adjust to workload variations and database reconfiguration.

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Buffardi, Kevin John. "Modeling Student Software Testing Processes: Attitudes, Behaviors, Interventions, and Their Effects". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/49668.

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Effective software testing identifies potential bugs and helps correct them, producing more reliable and maintainable software. As software development processes have evolved, incremental testing techniques have grown in popularity, particularly with introduction of test-driven development (TDD). However, many programmers struggle to adopt TDD's "test a little, code a little" approach and conventional computer science classrooms neglect evaluating software development as a process. In response, we explore influences on students' testing behaviors, effects of incremental testing strategies, and describe approaches to help computer science students adopt good testing practices. First, to understand students' perspectives and adoption of testing strategies, we investigated their attitudes toward different aspects of TDD. In addition, we observed trends in when and how thoroughly students tested their code and how these choices impacted the quality of their assignments. However, with insight into why students struggle to adopt incremental testing, we identified a need to assess their behaviors during the software development process as a departure from traditional product-oriented evaluation. By building upon an existing automated grading system, we developed an adaptive feedback system to provide customized incentives to reinforce incremental testing behaviors while students solved programming assignments. We investigated how students react to concrete testing goals and hint reward mechanisms and found approaches for identifying testing behaviors and influencing short-term behavioral change. Moreover, we discovered how students incorporate automated feedback systems into their software development strategies. Finally, we compared testing strategies students exhibited through analyzing five years and thousands of snapshots of students' code during development. Even when accounting for factors such as procrastinating on assignments, we found that testing early and consistently maintaining testing throughout development helps produce better quality code and tests. By applying our findings of student software development behaviors to effective testing strategies and teaching techniques, we developed a framework for adaptively scaffolding feedback to empower students to critically reflect over their code and adopt incremental testing approaches.
Ph. D.
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Kruger, Jan-Hendrik. "Object-oriented software development applied to adaptive resolution control in two-fluid models / by Jan-Hendrik Kruger". Thesis, North-West University, 2004. http://hdl.handle.net/10394/669.

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The accuracy of two-phase flow simulations is mainly determined by the mathematical formulations and resolution of the computational mesh used in the numerical model. Selective mesh refinement improves the accuracy of results while maintaining low resource requirements. This study introduces arbitrees, a new recursive grid design that allows hierarchical refinement and coarsening to be applied on uniform and arbitrary grids. An object-oriented simulation framework was developed that allows the mathematical equations to be written directly in the code, providing direct control over the behaviour of the flow model. Two-fluid models based on the volume of fluid method are implemented and coupled to the arbitree grid to investigate adaptive refinement in two-fluid simulations. Test cases for shape advection in oblique, rotating and shear flow were used to validate the interface tracking capabilities of the adaptive system. The adaptive two-fluid methodology was tested by modelling the collapse of a liquid column. In all cases, the predicted results exhibited encouraging agreement with analytical solutions or experimental measurements.
Thesis (Ph.D. (Mechanical Engineering))--North-West University, Potchefstroom Campus, 2005.
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Phaneuf, Patrick. "ALE Analytics| A Software Pipeline and Web Platform for the Analysis of Microbial Genomic Data from Adaptive Laboratory Evolution Experiments". Thesis, University of California, San Diego, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10242571.

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Adaptive Laboratory Evolution (ALE) methodologies are used for studying microbial adaptive mutations that optimize host metabolism. The Systems Biology Research Group (SBRG) at the University of California, San Diego, has implemented high-throughput ALE experiment automation that enables the group to expand their experimental evolutions to scales previously infeasible with manual workflows. The data generated by the high-throughput automation now requires a post-processing, content management and analysis framework that can operate on the same scale. We developed a software system which solves the SBRG's specific ALE big data to knowledge challenges. The software system is comprised of a post-processing protocol for quality control, a software framework and database for data consolidation and a web platform named ALE Analytics for report generation and automated key mutation analysis. The automated key mutation analysis is evaluated against published ALE experiment key mutation results from the SBRG and maintains an average recall of 89.6% and an average precision of 71.2%. The consolidation of all ALE experiments into a unified resource has enabled the development of web applications that compare key mutations across multiple experiments. These features find the genomic regions rph, hns/tdk, rpoB, rpoC and pykF mutated in more than one ALE experiment published by the SBRG. We reason that leveraging this software system relieves the bottleneck in ALE experiment analysis and generates new data mining opportunities for research in understanding system-level mechanisms that govern adaptive evolution.

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Onay, Durdu Pinar. "A Distributed Online Curriculum And Courseware Development Model". Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608989/index.pdf.

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A distributed online curriculum and courseware (DONC2) development model is proposed in this study. Collaborative courseware development teams which may work in distributed academic or private institutions who need to develop higher quality, reduced cost, on time products are the users of DONC2 development model. The related features from the disciplines of instructional design and software engineering were combined and concepts like usability, especially in terms of formative and summative evaluation, interoperability and reusability were integrated into the model. The research is conducted as a collective case study, including four cases with distinctive characteristics to reveal the several practices in online curriculum and courseware development work. The DONC2 development model was proposed using the results gathered from the investigated cases and a literature survey. The model uses the iterative incremental and agile software development approaches in order to overcome the disadvantages of other linear system development approaches. This enables building releasable products in short time periods with increased quality. Furthermore, continuous communication, evaluation and feedback as well as good project management and readiness to adapt to changes are integrated as the essential characteristics. DONC2 development model is different than previous linear and non-adaptive models in all of these aspects.
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Janse, van Rensburg Jean. "Process control and configuration of a reconfigurable production system using a multi-agent software system". Thesis, Bloemfontein : Central University of Technology, Free State, 2011. http://hdl.handle.net/11462/177.

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Thesis (M. Tech. (Information Technology)) -- Central University of technology, Free State, 2011
Traditional designs for component-handling platforms are rigidly linked to the product being produced. Control and monitoring methods for these platforms consist of various proprietary hardware controllers containing the control logic for the production process. Should the configuration of the component handling platform change, the controllers need to be taken offline and reprogrammed to take the changes into account. The current thinking in component-handling system design is the notion of re-configurability. Reconfigurability means that with minimum or no downtime the system can be adapted to produce another product type or overcome a device failure. The re-configurable component handling platform is built-up from groups of independent devices. These groups or cells are each responsible for some aspect of the overall production process. By moving or swopping different versions of these cells within the component-handling platform, re-configurability is achieved. Such a dynamic system requires a flexible communications platform and high-level software control architecture to accommodate the reconfigurable nature of the system. This work represents the design and testing of the core of a re-configurable production control software platform. Multiple software components work together to control and monitor a re-configurable component handling platform. The design and implementation of a production database, production ontology, communications architecture and the core multi-agent control application linking all these components together is presented.
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Libros sobre el tema "Adaptive software development"

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Adaptive software development: A collaborative approach to managing complex systems. New York: Dorset House Pub., 2000.

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Ortiz, Guadalupe y Javier Cubo. Adaptive web services for modular and reusable software development: Tactics and solutions. Hershey, PA: Information Science Reference, 2012.

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Calinescu, Radu y Ethan Jackson, eds. Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21292-5.

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Rapid J2EE development: An adaptive foundation for enterprise applications. Upper Saddle River, N.J: Prentice Hall PTR, 2005.

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Koskela, Juha. Software configuration management in agile methods. Espoo [Finland]: VTT Technical Research Centre of Finland, 2003.

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

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Software build systems: Principles and experience. Upper Saddle River, NJ: Addison Wesley, 2011.

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Calinescu, Radu. Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems: 16th Monterey Workshop 2010, Redmond, WA, USA, March 31- April 2, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Katsuyama, Kōtarō. Jōhō shisutemu ni taisuru yōkyū shiyō no henka ni taiōsuru sofutowea gijutsu: Software technologies for adapting requirement changes of information systems. Tōkyō: Kenkyū Kaihatsu Senryaku Sentā, 2010.

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Sugumaran, Vijayan. Intelligent, adaptive and reasoning technologies: New developments and applications. Hershey, PA: Information Science Reference, 2011.

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Capítulos de libros sobre el tema "Adaptive software development"

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Rafacz, Bernard y Rebecca D. Hetter. "ACAP hardware selection, software development, and acceptance testing." En Computerized adaptive testing: From inquiry to operation., 145–56. Washington: American Psychological Association, 1997. http://dx.doi.org/10.1037/10244-015.

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Lloret, Elena, Santiago Escobar, Manuel Palomar y Isidro Ramos. "Incremental and Adaptive Software Systems Development of Natural Language Applications". En Information System Development, 511–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07215-9_41.

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Tkachuk, Mykola, Andriy Zemlyanoy y Rustam Gamzayev. "Towards Prototyping-Based Technology for Adaptive Software Development". En Lecture Notes in Business Information Processing, 508–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78942-0_49.

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Yigitbas, Enes, Holger Fischer, Thomas Kern y Volker Paelke. "Model-Based Development of Adaptive UIs for Multi-channel Self-service Systems". En Human-Centered Software Engineering, 267–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44811-3_18.

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Negrão, André Pessoa, Miguel Mateus, Paulo Ferreira y Luís Veiga. "Adaptive Consistency and Awareness Support for Distributed Software Development". En On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 259–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41030-7_16.

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Mauerkirchner, Manfred. "Decision Based Adaptive Model for Managing Software Development Projects". En Computer Aided Systems Theory - EUROCAST’99, 475–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720123_41.

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Farina, Pedro Giuliano, Cibelle Albuquerque de la Higuera Amato y Valéria Farinazzo Martins. "Development of Adaptive Software for Individuals with Hearing Loss". En Advances in Intelligent Systems and Computing, 532–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72657-7_51.

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Luqi y Grant Jacoby. "Testing Adaptive Probabilistic Software Components in Cyber Systems". En Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems, 228–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21292-5_13.

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De Sanctis, Martina, Antonio Bucchiarone y Catia Trubiani. "A DevOps Perspective for QoS-Aware Adaptive Applications". En Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, 95–111. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39306-9_7.

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Lange, Douglas S. "Trust Of, In, and among Adaptive Systems". En Foundations of Computer Software. Modeling, Development, and Verification of Adaptive Systems, 193–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21292-5_11.

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Actas de conferencias sobre el tema "Adaptive software development"

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Abdelaziz, Adil A., Yaseen El-Tahir y Raheeg Osman. "Adaptive Software Development for developing safety critical software". En 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE). IEEE, 2015. http://dx.doi.org/10.1109/iccneee.2015.7381425.

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Ismailovic, Damir, Juan Haladjian, Barbara Kohler, Dennis Pagano y Bernd Brugge. "Adaptive serious game development". En 2012 2nd International Workshop on Games and Software Engineering (GAS). IEEE, 2012. http://dx.doi.org/10.1109/gas.2012.6225922.

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Gródek-Szostak, Zofia y Danuta Kajrunajtys. "JOB-RELATED ADULT EDUCATION USING ADAPTIVE SOFTWARE". En 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.2610.

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Ashraf Ferdouse Chowdhury y Mohammad Nazmul Huda. "Comparison between Adaptive Software Development and Feature Driven Development". En 2011 International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2011. http://dx.doi.org/10.1109/iccsnt.2011.6181977.

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Sadiq, Mohd y Tanveer Hassan. "An extended adaptive software development process model". En 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2014. http://dx.doi.org/10.1109/icicict.2014.6781341.

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Zhang, Ji y Betty H. C. Cheng. "Model-based development of dynamically adaptive software". En Proceeding of the 28th international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1134285.1134337.

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Myburgh, Barry. "Situational Software Engineering: Complex Adaptive Responses of Software Development Teams". En 2014 Federated Conference on Computer Science and Information Systems. IEEE, 2014. http://dx.doi.org/10.15439/2014f196.

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El Gammal, Wael, Nada Sherief y Walid Abdelmoez. "User-based Adaptive Software Development for Gamified Systems". En ICGDA 2020: 2020 3rd International Conference on Geoinformatics and Data Analysis. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3397056.3397088.

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Nocera, Francesco. "Reshaping distributed agile and adaptive development environment". En ESEC/FSE '18: 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3236024.3275435.

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Mezini, Mira y Karl Lieberherr. "Adaptive plug-and-play components for evolutionary software development". En the 13th ACM SIGPLAN conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/286936.286950.

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Informes sobre el tema "Adaptive software development"

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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris y Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, mayo de 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Resumen
Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives in protocols. This paper discusses the development of an interactive web-based data visualization tool, the Adaptive Total Design (ATD) Dashboard, which we designed to provide a wide array of survey staff with the information needed to monitor data collection daily. The dashboard was built using the R programming language and Shiny framework and provides users with a wide range of functionality to quickly assess trends. We present the structure of the data used to populate the dashboard, its design, and the process for hosting it on the web. Furthermore, we provide guidance on graphic design, data taxonomy, and software decisions that can help guide others in the process of developing their own data collection monitoring systems. To illustrate the benefits of the dashboard, we present examples from the National Longitudinal Study of Adolescent to Adult Health (Add Health). We also discuss features of the dashboard to be developed for future waves of Add Health.
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Sims, Benjamin Hayden. Enabling coordinated, distributed development of scientific software: A research agenda for adapting a team of teams approach. Office of Scientific and Technical Information (OSTI), noviembre de 2019. http://dx.doi.org/10.2172/1575765.

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