Academic literature on the topic 'Change propagation'
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Journal articles on the topic "Change propagation"
Clarkson, P. John, Caroline Simons, and Claudia Eckert. "Predicting Change Propagation in Complex Design." Journal of Mechanical Design 126, no. 5 (September 1, 2004): 788–97. http://dx.doi.org/10.1115/1.1765117.
Full textYou, Chun-Fong, and Shen-Chou Yeh. "Engineering Change Propagation System using STEP." Concurrent Engineering 10, no. 4 (December 1, 2002): 349–56. http://dx.doi.org/10.1177/a030348.
Full textYU, LIGUO, and STEPHEN R. SCHACH. "APPLYING ASSOCIATION MINING TO CHANGE PROPAGATION." International Journal of Software Engineering and Knowledge Engineering 18, no. 08 (December 2008): 1043–61. http://dx.doi.org/10.1142/s0218194008004008.
Full textKurt, Mehmet Necip, and Xiaodong Wang. "Multisensor Sequential Change Detection With Unknown Change Propagation Pattern." IEEE Transactions on Aerospace and Electronic Systems 55, no. 3 (June 2019): 1498–518. http://dx.doi.org/10.1109/taes.2018.2873067.
Full textZhang, Hai-Zhu, Guo-Fu Ding, Rong Li, Sheng-Feng Qin, and Kai-Yin Yan. "Design Change Model for Effective Scheduling Change Propagation Paths." Chinese Journal of Mechanical Engineering 30, no. 5 (July 27, 2017): 1081–90. http://dx.doi.org/10.1007/s10033-017-0169-2.
Full textWang, Yang, and Gui Jiang Duan. "Engineering Change Propagation Analysis Based on Linkage Model in Complex Product Development." Applied Mechanics and Materials 271-272 (December 2012): 887–96. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.887.
Full textWang, Rongcun, Rubing Huang, and Binbin Qu. "Network-Based Analysis of Software Change Propagation." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/237243.
Full textLiu, Pei Zhi, Wei Yan Chai, and Jun Ji. "Engineering Change Propagation in Collaboration Environment." Applied Mechanics and Materials 271-272 (December 2012): 897–900. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.897.
Full textYou, Chun-Fong, and Shen-Chou Yeh. "Engineering Change Propagation System using STEP." Concurrent Engineering 10, no. 4 (December 1, 2002): 349–56. http://dx.doi.org/10.1177/106329302129140241.
Full textCheng, Yifeng, Lu Wang, and Tim Li. "Causes of Interdecadal Increase in the Intraseasonal Rainfall Variability over Southern China around the Early 1990s." Journal of Climate 33, no. 21 (November 1, 2020): 9481–96. http://dx.doi.org/10.1175/jcli-d-20-0047.1.
Full textDissertations / Theses on the topic "Change propagation"
Giffin, Monica L. (Monica Lee). "Change propagation in large technical systems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42351.
Full textIncludes bibliographical references (p. 76-77).
Propagation of engineering changes has gained increasing scrutiny as the complexity and scale of engineered systems has increased. Over the past decade academic interest has risen, yielding some small-scale in-depth studies, as well as a variety of tools aimed at aiding investigation, analysis and prediction of change propagation. This thesis applies many of the methods and seeks to apply and extend prior reasoning through examination of a large data set from industry, including data from more than 41,000 change requests (most technical, but others not) over nearly a decade. Different methods are used to analyze the data from a variety of perspectives, in both the technical and managerial realms, and the results are compared to each other and evaluated in the context of previous findings. Macro-level patterns emerge independent of smaller scale data patterns, and in many cases offer clear implications for technical management approaches for large, complex systems development.
by Monica L. Giffin.
S.M.
Pasqual, Michael C. "Multilayer network modeling of change propagation for engineering change management." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62481.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 141-143).
Engineering change management is a critical and challenging process within product development. One pervasive source of difficulty for this process is the phenomenon of change propagation, by which a change to one part or element of a design requires additional changes throughout the product. Research efforts to understand and manage change propagation have largely drawn on network analysis. This thesis builds upon past research by introducing a multilayer network model that incorporates three proposed layers, or domains, that contribute to change propagation: namely, the product layer, change layer, and social layer. Each layer contains a distinct network of nodes and intralayer edges, but also connects to the other two layers through inter-layer dependencies. The model facilitates extensive quantitative analysis of change propagation using a repository of single-layer, double-layer, and triple-layer tools and metrics. A case study of a large technical program, which managed over 41,000 change requests in eight years, is employed to demonstrate the practical utility of the model. Most significantly, the case study explores the program's social layer and discovers a real-world correspondence between an engineer's organizational role and the propagation effects of his or her work, as measured by the newly proposed Engineer Change Propagation Index (Engineer-CPI). The case study also reveals that parent-child propagation often spanned more than one, but never more than three, system interfaces, thus confirming the possibility of indirect propagation. Finally, the study finds that propagation always stopped after five, and rarely more than four, generations of descendants. In all, the multilayer network model's holistic approach has significant policy implications for engineering change management in industry.
by Michael C. Pasqual.
S.M.
S.M.in Technology and Policy
Keller, René. "Predicting change propagation : algorithms, representations, software tools." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443494.
Full textGonzalez, Marco A. "A new change propagation metric to assess software evolvability." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44607.
Full textCAFEO, BRUNO BARBIERI DE PONTES. "ON THE RELATIONSHIP BETWEEN FEATURE DEPENDENCIES AND CHANGE PROPAGATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26957@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
PROGRAMA DE DOUTORADO SANDUÍCHE NO EXTERIOR
Características são abstrações-chave para o desenvolvimento e manutenção de linhas de produto de software. Um desafio encarado na manutenção de linhas de produto de software é o entendimento das dependências que existem entre características. No código-fonte, uma dependência entre características ocorre sempre que um elemento de programa dentro dos limites de implementação de uma característica depende de elementos externos a esta característica. Exemplos são atributos ou métodos definidos na implementação de uma característica, mas utilizados no código responsável pela implementação de outra característica. A medida que desenvolvedores modificam o código-fonte associado com uma característica, eles devem garantir que outras características são consistentemente atualizadas com as novas mudanças – as chamadas propagações de mudanças. No entanto, a apropriada propagação de mudanças não é uma tarefa trivial, pois características geralmente não são modularizadas no código-fonte. Dessa forma, dado uma mudança em uma determinada característica, é desafiador revelar quais (partes de) outras características também devem ser alteradas. Propagação de mudanças se torna, portanto, um aspecto central e não-trivial da manutenção de linhas de produto de software. Desenvolvedores podem negligenciar partes importantes de código que deveriam ser revisadas ou alteradas, portanto não propagando mudanças de forma completa. Por outro lado, desenvolvedores também podem analisar de forma desnecessária partes de código que não são relevantes para a tarefa de manutenção de características, portanto aumentando o esforço de manutenção ou até propagando mudanças de forma indevida. A criação de um bom modelo mental da estrutura das dependências de características se torna essencial para ganhar compreensão sobre o complexo relacionamento de características com o objetivo de propagar mudanças de forma apropriada. Infelizmente, não existe entendimento no estado-da-arte sobre propriedades estruturais de dependências de características que afetam a propagação de mudanças. Este entendimento ainda não é possível, pois: (i) não existe meios de caracterização e quantificação para propriedades estruturais de dependências de características, e (ii) não existem investigações empíricas sobre a influência dessas propriedades na propagação de mudanças. Nesse contexto, esta tese apresenta três contribuições para superar os problemas acima mencionados. Primeiro, foi desenvolvido um estudo para entender a propagação de mudanças na presença de dependência de características em várias linhas de produto industriais. Segundo, é proposto um arcabouço de medidas com o propósito de quantificar propriedades estruturais de dependências de características. Nesse contexto, também foi desenvolvido um estudo revelando que métricas convencionais tipicamente aplicadas em trabalhos de linha de produto, tais como a métrica de acoplamento, não são indicadores efetivos da propagação de mudanças em linhas de produto de software. As métricas propostas nesta tese superaram consistentemente as métricas convencionais estudadas. Terceiro, esta tese propõe um método para auxiliar a propagação de mudanças encarando informações sobre a organização de dependência de características encarando-as como um problema de agrupamento. Foi avaliado se a organização de informações proposta nesta tese tem potencial para auxiliar desenvolvedores a propagar mudanças em linhas de produto de software.
Features are the key abstraction to develop and maintain software product lines. A challenge faced in the maintenance of product lines is the understanding of the dependencies that exist between features. In the source code, a feature dependency occurs whenever program elements within the boundaries of a feature s implementation depend on elements external to that feature. Examples are either attributes or methods defined in the realisation of a feature, but used in the code realising other features. As developers modify the source code associated with a feature, they must ensure that other features are consistently updated with the new changes – the so-called change propagation. However, appropriate change propagation is far from being trivial as features are often not modularised in the source code. In this way, given a change in a certain feature, it is challenging to reveal which (part of) other features should also change. Change propagation becomes, therefore, a central and non-trivial aspect of software product-line maintenance. Developers may overlook important parts of the code that should be revised or changed, thus not fully propagating changes. Conversely, they may also unnecessarily analyse parts that are not relevant to the feature-maintenance task at hand, thereby increasing the maintenance effort or even mis-propagating changes. The creation of a good mental model based on the structure of feature dependencies becomes essential for gaining insight into the intricate relationship between features in order to properly propagate changes. Unfortunately, there is no understanding in the state of the art about structural properties of feature dependencies that affect change propagation. This understanding is not yet possible as: (i) there is no conceptual characterisation and quantification means for structural properties of feature dependency, and (ii) there is no empirical investigation on the influence of these properties on change propagation. In this context, this thesis presents three contributions to overcome the aforementioned problems. First, we develop a study to understand change propagation in presence of feature dependencies in several industry-strength product lines. Second, we propose a measurement framework intended to quantify structural properties of feature dependencies. We also develop a study revealing that conventional metrics typically used in previous research, such as coupling metrics, are not effective indicators of change propagation in software product lines. Our proposed metrics consistently outperformed conventional metrics. Third, we also propose a method to support change propagation by facing the organisation of feature dependency information as a clustering problem. We evaluate if our proposed organisation has potential to help developers to propagate changes in software product lines.
Garg, Tushar. "Estimating change propagation risk using TRLs and system architecture." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/110134.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 27-28).
Risk estimation is a key activity for product development and technology integration programs. There are a number of decision support tools that help project managers identify and mitigate risks in a project, however few explicitly consider the effects of architecture on risk. We propose a novel risk estimation framework that includes considerations of the system architecture. By starting with traditional project management literature, we define risk as a combination of likelihood and impact. We use Technology Readiness Levels as our measure for likelihood, and given that change propagates through interfaces, we used metrics that relate to connectivity to estimate impact. To analyze the connectivity, we model systems using networks of nodes and edges and calculate centrality metrics. This framework is applied to an industry example and we visualize the data in different formats to aid in analysis. The insights gained from this analysis are discussed, and we conclude that the risk estimation framework provides estimates that are in line with the experience of engineers at the company.
by Tushar Garg.
S.M. in Engineering and Management
Koh, Chan Yang Edwin. "Managing change propagation in the development of complex products." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609499.
Full textAriyo, Owolabi Opeyemi. "Change propagation in complex design : predicting detailed change cases with multi-levelled product models." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612492.
Full textSeifert, Mirko. "Designing Round-Trip Systems by Change Propagation and Model Partitioning." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71098.
Full textHamraz, Bahram. "Engineering change modelling using a function-behaviour-structure scheme." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/245074.
Full textBooks on the topic "Change propagation"
Water wave propagation over uneven bottoms. River Edge, NJ: World Scientific Pub., 1997.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textRubinstein, Robert. Non-ideal gas effects on shock waves in weakly ionized gases. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2000.
Find full textHsieh, Jinmeei Kuo. Influencing fourth grade students' conceptual change about light propagation. 1995.
Find full textHelfont, Samuel. Continuity and Change in the Gulf War. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843311.003.0007.
Full textBook chapters on the topic "Change propagation"
Salay, Rick, Jan Gorzny, and Marsha Chechik. "Change Propagation due to Uncertainty Change." In Fundamental Approaches to Software Engineering, 21–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37057-1_3.
Full textMelnik, Sergey. "5. Change Propagation Scenario." In Generic Model Management, 91–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24684-8_5.
Full textDowse, J. N., and B. W. Skews. "Area Change Effects on Shock Wave Propagation." In 28th International Symposium on Shock Waves, 581–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25685-1_88.
Full textYin, Leilei, Yanchen Liu, Ziran Shen, and Yijin Li. "A Technique to Predict Software Change Propagation." In Advances in Intelligent Systems and Computing, 538–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14680-1_59.
Full textIndiono, Conrad, and Stefanie Rinderle-Ma. "Dynamic Change Propagation for Process Choreography Instances." In On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 334–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69462-7_22.
Full textGrinnell, Rachael, Robert Schmidt, and Simon Austin. "CLASSIFYING COMPONENTS BASED ON CHANGE PROPAGATION POTENTIAL." In Gain competitive advantage by managing complexity, 315–28. München: Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446434127.025.
Full textKurniawan, Tri A., Aditya K. Ghose, Hoa Khanh Dam, and Lam-Son Lê. "Relationship-Preserving Change Propagation in Process Ecosystems." In Service-Oriented Computing, 63–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34321-6_5.
Full textBauer, Wolfgang, Chucholowski Nepomuk, Udo Lindemann, and Maik Maurer. "Domain-Spanning Change Propagation in Changing Technical Systems." In Complex Systems Design & Management Asia, 111–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12544-2_9.
Full textTang, Dunbing, Leilei Yin, and Inayat Ullah. "Workload-Based Change Propagation Analysis in Product Design." In Matrix-based Product Design and Change Management, 83–109. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5077-0_5.
Full textDam, Khanh Hoa, and Michael Winikoff. "Evaluating an Agent-Oriented Approach for Change Propagation." In Agent-Oriented Software Engineering IX, 159–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01338-6_12.
Full textConference papers on the topic "Change propagation"
Clarkson, P. John, Caroline Simons, and Claudia Eckert. "Predicting Change Propagation in Complex Design." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dtm-21698.
Full textGiffin, Monica, Olivier de Weck, Gergana Bounova, Rene Keller, Claudia Eckert, and John Clarkson. "Change Propagation Analysis in Complex Technical Systems." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34652.
Full textLong, Daniel, and Scott Ferguson. "Exploring System Architecture Attributes and Dynamic Change Propagation." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86049.
Full textAryani, Amir, Ian D. Peake, Margaret Hamilton, Heinz Schmidt, and Michael Winikoff. "Change Propagation Analysis Using Domain Information." In 2009 Australian Software Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/aswec.2009.31.
Full textDam, Hoa Khanh, and Michael Winikoff. "Supporting change propagation in UML models." In 2010 IEEE 26th International Conference on Software Maintenance (ICSM). IEEE, 2010. http://dx.doi.org/10.1109/icsm.2010.5609712.
Full textWiese, Igor Scaliante, Reginaldo Re, Igor Steinmacher, Rodrigo Takashi Kuroda, Gustavo Ansaldi Oliva, and Marco Aurelio Gerosa. "Predicting Change Propagation from Repository Information." In 2015 29th Brazilian Symposium on Software Engineering (SBES). IEEE, 2015. http://dx.doi.org/10.1109/sbes.2015.21.
Full textFdhila, Walid, Stefanie Rinderle-Ma, and Manfred Reichert. "Change Propagation in Collaborative Processes Scenarios." In 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing. IEEE, 2012. http://dx.doi.org/10.4108/icst.collaboratecom.2012.250408.
Full textHein, Phyo Htet, Varun Menon, and Beshoy Morkos. "Exploring Requirement Change Propagation Through the Physical and Functional Domain." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47746.
Full textHtet Hein, Phyo, Beshoy Morkos, and Chiradeep Sen. "Utilizing Node Interference Method and Complex Network Centrality Metrics to Explore Requirement Change Propagation." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67930.
Full textLi, Lin, Guanqun Qian, and Li Zhang. "Evaluation of Software Change Propagation Using Simulation." In 2009 WRI World Congress on Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.22.
Full textReports on the topic "Change propagation"
Ghassemi, Ahmad. Fracture Propagation and Permeability Change under Poro-thermoelastic Loads & Silica Reactivity in Enhanced Geothermal Systems. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/1021468.
Full textChu, Peter C., and Chung-Ping Hsieh. Change of Multifractal Thermal Characteristics in the Western Philippine Sea Upper Layer During Internal Wave-Soliton Propagation. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada478542.
Full textAlvarez, Fernando, Hervé Le Bihan, and Francesco Lippi. Small and Large Price Changes and the Propagation of Monetary Shocks. Cambridge, MA: National Bureau of Economic Research, May 2014. http://dx.doi.org/10.3386/w20155.
Full textSiderius, Martin. High Frequency Acoustic Channel Characterization for Propagation and Ambient Noise. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533072.
Full textLiang, George. Site Specific Propagation Prediction Software Tool For Communication Channel Modeling. Fort Belvoir, VA: Defense Technical Information Center, August 1998. http://dx.doi.org/10.21236/ada357796.
Full textBinder, Thomas B. A Study of Charge Propagation and Quantification of Noise Within the SuperCDMS Detector. Office of Scientific and Technical Information (OSTI), January 2016. http://dx.doi.org/10.2172/1632190.
Full textDestler, William W. Investigation of the Propagation of Intense Charged Particle Beams into Vacuum. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada225098.
Full textBena, Jan, Serdar Dinc, and Isil Erel. The International Propagation of Economic Downturns Through Multinational Companies: The Real Economy Channel. Cambridge, MA: National Bureau of Economic Research, September 2020. http://dx.doi.org/10.3386/w27873.
Full textRonald C. Davidson, Igor Kaganovich, and Edward A. Startsev. Weibel and Two-Stream Instabilities for Intense Charged Particle Beam Propagation through Neutralizing Background Plasma. Office of Scientific and Technical Information (OSTI), April 2004. http://dx.doi.org/10.2172/827830.
Full textG. Shvets, N. J. Fisch, and A. Pukhov. Acceleration and Compression of Charged Particle Bunches Using Counter-Propagating Laser Beams. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/765442.
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