Littérature scientifique sur le sujet « Software architecture reconstruction »
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Articles de revues sur le sujet "Software architecture reconstruction"
Schmidt, Frederick, Stephen MacDonell et Andy M. Connor. « Multi-Objective Reconstruction of Software Architecture ». International Journal of Software Engineering and Knowledge Engineering 28, no 06 (juin 2018) : 869–92. http://dx.doi.org/10.1142/s0218194018500262.
Texte intégralStoermer, Christoph, Anthony Rowe, Liam O'Brien et Chris Verhoef. « Model-centric software architecture reconstruction ». Software : Practice and Experience 36, no 4 (2006) : 333–63. http://dx.doi.org/10.1002/spe.699.
Texte intégralKANG, SUNGWON, SEONAH LEE et DANHYUNG LEE. « A FRAMEWORK FOR TOOL-BASED SOFTWARE ARCHITECTURE RECONSTRUCTION ». International Journal of Software Engineering and Knowledge Engineering 19, no 02 (mars 2009) : 283–305. http://dx.doi.org/10.1142/s0218194009004167.
Texte intégralPrajapati, Amarjeet, et Zong Woo Geem. « Harmony Search-Based Approach for Multi-Objective Software Architecture Reconstruction ». Mathematics 8, no 11 (31 octobre 2020) : 1906. http://dx.doi.org/10.3390/math8111906.
Texte intégralQiu, Dehong, Qifeng Zhang et Shaohong Fang. « Reconstructing Software High-Level Architecture by Clustering Weighted Directed Class Graph ». International Journal of Software Engineering and Knowledge Engineering 25, no 04 (mai 2015) : 701–26. http://dx.doi.org/10.1142/s0218194015500072.
Texte intégralDucasse, S., et D. Pollet. « Software Architecture Reconstruction : A Process-Oriented Taxonomy ». IEEE Transactions on Software Engineering 35, no 4 (juillet 2009) : 573–91. http://dx.doi.org/10.1109/tse.2009.19.
Texte intégralGuamán, Daniel, Jennifer Pérez, Jessica Diaz et Carlos E. Cuesta. « Towards a reference process for software architecture reconstruction ». IET Software 14, no 6 (1 décembre 2020) : 592–606. http://dx.doi.org/10.1049/iet-sen.2019.0246.
Texte intégralArcelli Fontana, Francesca, et Marco Zanoni. « A tool for design pattern detection and software architecture reconstruction ». Information Sciences 181, no 7 (1 avril 2011) : 1306–24. http://dx.doi.org/10.1016/j.ins.2010.12.002.
Texte intégralMüller, Jan, Dirk Fimmel, Renate Merker et Rainer Schaffer. « A Hardware–Software System for Tomographic Reconstruction ». Journal of Circuits, Systems and Computers 12, no 02 (avril 2003) : 203–29. http://dx.doi.org/10.1142/s021812660300074x.
Texte intégralAllam, Atef, et Wael Deabes. « Model-Based Hardware-Software Codesign of ECT Digital Processing Unit ». Modelling and Simulation in Engineering 2021 (30 mars 2021) : 1–14. http://dx.doi.org/10.1155/2021/4757464.
Texte intégralThèses sur le sujet "Software architecture reconstruction"
Knodel, Jens. « Process models for the reconstruction of software architecture views ». [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10252225.
Texte intégralMAGGIONI, STEFANO. « Design pattern detection and software architecture reconstruction : an integrated approach based on software micro-structures ». Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7817.
Texte intégralZapalowski, Vanius. « Evaluation of code-based information to architectural module identification ». reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/94691.
Texte intégralSoftware architecture plays an important role in the software development, and when explicitly documented, it allows understanding an implemented system and reasoning about how non-functional requirements are addressed. In spite of that, many developed systems lack proper architecture documentation, and if it exists, it may be outdated due to software evolution. The process of recovering the architecture of a system depends mainly on developers' knowledge requiring a manual inspection of the source code. Research on architecture recovery provides support to this process. Most of the existing approaches are based on architectural elements dependency, architectural patterns or source code semantics, but even though they help identifying architectural modules, the obtained results must be signi cantly improved to be considered reliable. We thus aim to support this task by the exploitation of di erent code-oriented information and machine learning techniques. Our work consists of an analysis, involving ve case studies, of the usefulness of adopting a set of code-level characteristics (or features, in the machine learning terminology) to group elements into architectural modules. The characteristics mainly source code metrics that a ect the identi cation of what role software elements play in software architecture are unknown. Then, we evaluate the relationship between di erent sets of characteristics and the accuracy achieved by an unsupervised algorithm the Expectation Maximization in identifying architectural modules. Consequently, we are able to understand which of those characteristics reveal information about the source code structure. By the use of code-oriented information, our approach achieves a signi cant average accuracy, which indicates the importance of the selected information to recover software architecture. Additionally, we provide a tool to support research on architecture recovery providing software architecture measurements and visualizations. It presents comparisons between predicted architectures and concrete architectures.
Le, Borgne Alexandre. « ARIANE : Automated Re-Documentation to Improve software Architecture uNderstanding and Evolution ». Thesis, IMT Mines Alès, 2020. http://www.theses.fr/2020EMAL0001.
Texte intégralAll along its life-cycle, a software may be subject to numerous changes that may affect its coherence with its original documentation. Moreover, despite the general agreement that up-to-date documentation is a great help to record design decisions all along the software life-cycle, software documentation is often outdated. Architecture models are one of the major documentation pieces. Ensuring coherence between them and other models of the software (including code) during software evolution (co-evolution) is a strong asset to software quality. Additionally, understanding a software architecture is highly valuable in terms of reuse, evolution and maintenance capabilities. For that reason, re-documenting software becomes essential for easing the understanding of software architectures. However architectures are rarely available and many research works aim at automatically recovering software architectures from code. Yet, most of the existing re-documenting approaches do not perform a strict reverse-documenting process to re-document architectures "as they are implemented" and perform re-engineering by clustering code into new components. Thus, this thesis proposes a framework for re-documentating architectures as they have been designed and implemented to provide a support for analyzing architectural decisions. This re-documentation is performed from the analysis of both object-oriented code and project deployment descriptors. The re-documentation process targets the Dedal architecture language which is especially tailored for managing and driving software evolution.Another highly important aspect of software documentation relates to the way concepts are versioned. Indeed, in many approaches and actual version control systems such as Github, files are versioned in an agnostic manner. This way of versioning keeps track of any file history. However, no information can be provided on the nature of the new version, and especially regarding software backward-compatibility with previous versions. This thesis thus proposes a formal way to version software architectures, based on the use of the Dedal architecture description language which provides a set of formal properties. It enables to automatically analyze versions in terms of substitutability, version propagation and proposes an automatic way for incrementing version tags so that their semantics corrrespond to actual evolution impact. By proposing such a formal approach, this thesis intends to prevent software drift and erosion.This thesis also proposes an empirical study based on both re-documenting and versioning processes on numerous versions on an enterprise project taken from Github
Wilhelm, Andreas Johannes [Verfasser], Hans Michael [Akademischer Betreuer] Gerndt, Hans Michael [Gutachter] Gerndt et Felix [Gutachter] Wolf. « Interactive Software Parallelization Based on Hybrid Analysis and Software Architecture Reconstruction / Andreas Johannes Wilhelm ; Gutachter : Hans Michael Gerndt, Felix Wolf ; Betreuer : Hans Michael Gerndt ». München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1185637990/34.
Texte intégralKrogmann, Klaus [Verfasser], et R. [Akademischer Betreuer] Reussner. « Reconstruction of Software Component Architectures and Behaviour Models using Static and Dynamic Analysis / Klaus Krogmann ; Betreuer : R. Reussner ». Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184493901/34.
Texte intégralStegmann, Korine. « Knoop ». Diss., 2008. http://hdl.handle.net/2263/29863.
Texte intégralDissertation (MArch(Prof))--University of Pretoria, 2009.
Architecture
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Krogmann, Klaus [Verfasser]. « Reconstruction of software component architectures and behaviour models using static and dynamic analysis / von Klaus Krogmann ». 2010. http://d-nb.info/1010373587/34.
Texte intégralLivres sur le sujet "Software architecture reconstruction"
Brown, Melissa. Software Directory for Home Builders & Remodelers 1996. Home Builder Pr, 1995.
Trouver le texte intégralChapitres de livres sur le sujet "Software architecture reconstruction"
Koschke, Rainer. « Architecture Reconstruction ». Dans Software Engineering, 140–73. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95888-8_6.
Texte intégralRiva, Claudio. « Architecture Reconstruction in Practice ». Dans Software Architecture, 159–73. Boston, MA : Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35607-5_10.
Texte intégralGuo, George Yanbing, Joanne M. Atlee et Rick Kazman. « A Software Architecture Reconstruction Method ». Dans Software Architecture, 15–33. Boston, MA : Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35563-4_2.
Texte intégralErsoy, Ersin, Kamer Kaya, Metin Altınışık et Hasan Sözer. « Using Hypergraph Clustering for Software Architecture Reconstruction of Data-Tier Software ». Dans Software Architecture, 326–33. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48992-6_24.
Texte intégralPrajapati, Amarjeet, et Zong Woo Geem. « Harmony Search-Enhanced Software Architecture Reconstruction ». Dans Handbook on Artificial Intelligence-Empowered Applied Software Engineering, 87–99. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08202-3_6.
Texte intégralKhodamoradi, Kamyar, Jafar Habibi et Ali Kamandi. « Architectural Styles as a Guide for Software Architecture Reconstruction ». Dans Communications in Computer and Information Science, 985–89. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89985-3_149.
Texte intégralSchmidt, Frederik, Stephen G. MacDonell et Andrew M. Connor. « An Automatic Architecture Reconstruction and Refactoring Framework ». Dans Software Engineering Research,Management and Applications 2011, 95–111. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23202-2_7.
Texte intégralWalker, Andrew, Ian Laird et Tomas Cerny. « On Automatic Software Architecture Reconstruction of Microservice Applications ». Dans Lecture Notes in Electrical Engineering, 223–34. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6385-4_21.
Texte intégralRademacher, Florian, Sabine Sachweh et Albert Zündorf. « A Modeling Method for Systematic Architecture Reconstruction of Microservice-Based Software Systems ». Dans Enterprise, Business-Process and Information Systems Modeling, 311–26. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49418-6_21.
Texte intégralGuamán, Daniel, Jennifer Pérez, Juan Garbajosa et Germania Rodríguez. « A Systematic-Oriented Process for Tool Selection : The Case of Green and Technical Debt Tools in Architecture Reconstruction ». Dans Product-Focused Software Process Improvement, 237–53. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64148-1_15.
Texte intégralActes de conférences sur le sujet "Software architecture reconstruction"
Pruijt, Leo, et Wiebe Wiersema. « Software architecture reconstruction and compliance checking ». Dans ECSA '17 : 11th European Conference on Software Architecture. New York, NY, USA : ACM, 2017. http://dx.doi.org/10.1145/3129790.3129809.
Texte intégralMirakhorli, Mehdi. « Software architecture reconstruction : Why ? What ? How ? » Dans 2015 IEEE 22nd International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2015. http://dx.doi.org/10.1109/saner.2015.7081885.
Texte intégralde Jong, Tijmen, et Jan Martijn E. M. van der Werf. « Process-mining based dynamic software architecture reconstruction ». Dans the 13th European Conference. New York, New York, USA : ACM Press, 2019. http://dx.doi.org/10.1145/3344948.3344985.
Texte intégralGanesan, Dharmalingam, Mikael Lindvall, Rance Cleaveland, Raoul Jetley, Paul Jones et Yi Zhang. « Architecture Reconstruction and Analysis of Medical Device Software ». Dans 2011 9th Working IEEE/IFIP Conference on Software Architecture (WICSA). IEEE, 2011. http://dx.doi.org/10.1109/wicsa.2011.33.
Texte intégralO'Brien, L., D. Smith et G. Lewis. « Supporting Migration to Services using Software Architecture Reconstruction ». Dans 13th IEEE International Workshop on Software Technology and Engineering Practice (STEP'05). IEEE, 2005. http://dx.doi.org/10.1109/step.2005.29.
Texte intégralSartipi, Kamran, Nima Dezhkam et Hossein Safyallah. « An Orchestrated Multi-view Software Architecture Reconstruction Environment ». Dans 2006 13th Working Conference on Reverse Engineering. IEEE, 2006. http://dx.doi.org/10.1109/wcre.2006.13.
Texte intégralJohnson, C. A., S. Thada, M. Rodriguez, Y. Zhao, A. R. Iano-Fletcher, J. S. Liow, W. C. Barker, R. L. Martino et R. E. Carson. « Software architecture of the MOLAR-HRRT reconstruction engine ». Dans IEEE Symposium Conference Record Nuclear Science 2004. IEEE, 2004. http://dx.doi.org/10.1109/nssmic.2004.1466744.
Texte intégralStormer, Christoph. « Software Quality Attribute Analysis by Architecture Reconstruction (SQUA3RE) ». Dans 11th European Conference on Software Maintenance and Reengineering (CSMR'07). IEEE, 2007. http://dx.doi.org/10.1109/csmr.2007.43.
Texte intégralPollet, Damien, Stephane Ducasse, Loic Poyet, Ilham Alloui, Sorana Cimpan et Herve Verjus. « Towards A Process-Oriented Software Architecture Reconstruction Taxonomy ». Dans 11th European Conference on Software Maintenance and Reengineering (CSMR'07). IEEE, 2007. http://dx.doi.org/10.1109/csmr.2007.50.
Texte intégralPruijt, Leo, Wiebe Wiersema et Jan Martijn van der Werf. « Software architecture reconstruction research support as provided by HUSACCT ». Dans ECSA '17 : 11th European Conference on Software Architecture. New York, NY, USA : ACM, 2017. http://dx.doi.org/10.1145/3129790.3129819.
Texte intégralRapports d'organisations sur le sujet "Software architecture reconstruction"
O'Brien, Liam, Christoph Stoermer et Chris Verhoef. Software Architecture Reconstruction : Practice Needs and Current Approaches. Fort Belvoir, VA : Defense Technical Information Center, août 2002. http://dx.doi.org/10.21236/ada407795.
Texte intégralKazman, Rick, et S. J. Carriere. Playing Detective : Reconstructing Software Architecture from Available Evidence. Fort Belvoir, VA : Defense Technical Information Center, octobre 1997. http://dx.doi.org/10.21236/ada330928.
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