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Artículos de revistas sobre el tema "Harware and software architecture"

Autor: Grafiati

Publicado: 8 de marzo de 2025

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1

Setyanto, Barry Nur, Fanani Arief Ghozali, David Yoga Pradana y Hanafi Wahyu Ramndani. "PERANCANGAN SMART HELMET UNTUK KEAMANAN SEPEDA MOTOR DENGAN SISTEM BLUETOOTH DAN RADIO FREKUENSI". MEDIA ELEKTRIKA 15, n.º 2 (31 de diciembre de 2022): 64. http://dx.doi.org/10.26714/me.v15i2.8580.

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Peningkatan tindak pencurian sepeda motor sebesar enam persen dimasa pandemi covid-19 terjadi di tahun 2020, hal ini menjadi himbauan kepada masyarakat agar dapat menjaga kendaraan terkhusussepeda motor. Teknologi keamanan telah banyak diupayakan oleh pihak pabrik sepeda motor. Sistem keamanan ganda dan jenis nirkabel telah banyak diproduksi, akan tetapi teknologi yang canggih tersebut hanya tersemat pada kendaraan tipe baru, sehingga diperlukan pengembangan produk keamanan sepeda motor. Telah banyak produk diteliti menggunakan integrasi teknologi elektronika berupa hardware dan software. Hardware berupa arduino, bluetooth, relay, buzzer dan perangkat smartphone, sedangkan software berupa program arduino dan program aplikasi di android. Dalam hal tersebut belum ada perancangan yang mengabungkan antara bluetooth dan radio frekuensi yang meletakkan hardware pengirim sinyal pada helm. Perancangan dilakukan menggunakan metode penelitian modeling dengan pendekatan hard approaches untuk menghasilkan produk. Penelitian menghasilkan produk hardware receiver, hardware transmitter dan software berupa aplikasi android yang dapat mengendalikan kedua hardware. Hasil pengujian oleh expert judgement pada aspek functional suitabilitymenunjukkan kinerja sangat baik pada ujicoba harware maupun software.

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2

Lugo Espinosa, Oziel, Gregorio Arellano Ostoa y Diego Hernández Cote. "Automatización de un sistema de inmersión temporal con base en plataformas abiertas de hardware y software." REVISTA TERRA LATINOAMERICANA 35, n.º 3 (5 de julio de 2017): 269. http://dx.doi.org/10.28940/terra.v35i3.193.

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Un Sistema de Inmersión Temporal (SIT) permite la micropropagación de plantas en ambientes esterilizados y herméticos; sin embargo, es una tecnología complicada y costosa. En este trabajo, se presenta una alternativa de automatización con base en plataformas abiertas de harware y software, con los objetivos de reducir costos y aumentar las prestaciones frente a sistemas comerciales, mediante la reconf iguración por software de rutinas para la aplicación de nutrientes, monitoreo constante y control a distancia del sistema. Para el desarrollo del hadware se utilizó la metodología Bottom Up, y para el software, la metodología Kanban. El sistema propuesto tiene un costo promedio de un 10% en comparación con dispositivos electrónicos comerciales utilizados en la industria para resolver problemas de automatización de procesos. Sin embargo, es necesario una evaluación de crecimiento de los explantes para corroborar las ventajas competitivas del prototipo equiparadas a los sistemas tradicionales de inmersión temporal.

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3

McGregor, John D. "Software Architecture." Journal of Object Technology 3, n.º 5 (2004): 65. http://dx.doi.org/10.5381/jot.2004.3.5.c7.

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4

Anderson, Bruce, Mary Shaw, Larry Best y Kent Beck. "Software architecture". ACM SIGPLAN Notices 28, n.º 10 (octubre de 1993): 356–59. http://dx.doi.org/10.1145/167962.165922.

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5

ZHANG, Li. "Software Architecture Evaluation". Journal of Software 19, n.º 6 (21 de octubre de 2008): 1328–39. http://dx.doi.org/10.3724/sp.j.1001.2008.01328.

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6

Anderson, Bruce, Mary Shaw, Larry Best y Kent Beck. "Software architecture (panel)". ACM SIGPLAN OOPS Messenger 5, n.º 2 (abril de 1994): 63–66. http://dx.doi.org/10.1145/260304.260321.

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7

Garlan, David. "Software architecture (panel)". ACM SIGSOFT Software Engineering Notes 20, n.º 4 (octubre de 1995): 5. http://dx.doi.org/10.1145/222132.222134.

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8

Barber, K. S. y J. Holt. "Software architecture correctness". IEEE Software 18, n.º 6 (2001): 64–65. http://dx.doi.org/10.1109/52.965805.

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9

Del Ra, William. "Software systems architecture". ACM SIGSOFT Software Engineering Notes 37, n.º 2 (3 de abril de 2012): 36. http://dx.doi.org/10.1145/2108144.2108171.

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10

Miyachi, Christine. "Agile software architecture". ACM SIGSOFT Software Engineering Notes 36, n.º 2 (14 de marzo de 2011): 1–3. http://dx.doi.org/10.1145/1943371.1943388.

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11

Innocente, V., L. Silvestris y D. Stickland. "CMS software architecture". Computer Physics Communications 140, n.º 1-2 (octubre de 2001): 31–44. http://dx.doi.org/10.1016/s0010-4655(01)00253-3.

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12

Davis, Margaret J. y Roger B. Williams. "Software architecture characterization". ACM SIGSOFT Software Engineering Notes 22, n.º 3 (mayo de 1997): 30–38. http://dx.doi.org/10.1145/258368.258380.

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13

WOODSIDE, C. M. "SOFTWARE RESOURCE ARCHITECTURE". International Journal of Software Engineering and Knowledge Engineering 11, n.º 04 (agosto de 2001): 407–29. http://dx.doi.org/10.1142/s0218194001000608.

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Performance is determined by a system's resources and its workload. Some of the resources are software resources which are an aspect of the software architecture; some of them are even created by the software behaviour. This paper describes software resources and resource architecture, and shows how resource architecture can be determined from software architecture and behaviour. The resource architecture is distinct from views of software architecture which describe software components, but it is related to the so-called "execution view" of architecture. The paper considers how resource architecture emerges during design, the relationship of software and hardware resources, some classes of resource architecture, and what they can tell us about system performance. Other uses of resource architecture are, to analyze deadlocks, to understand special software architectures developed for demanding situations, and to analyze how subsystems fit together when they share resources. Resource architecture can be described using description languages (ADLs) developed for software architecture.

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14

Leigh, Andrew. "Software Architecture Insights". ITNOW 66, n.º 3 (2024): 60–61. http://dx.doi.org/10.1093/itnow/bwae102.

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15

Tyree, J. y A. Akerman. "Architecture Decisions: Demystifying Architecture". IEEE Software 22, n.º 2 (marzo de 2005): 19–27. http://dx.doi.org/10.1109/ms.2005.27.

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16

Booch, Grady. "Enterprise Architecture and Technical Architecture". IEEE Software 27, n.º 2 (marzo de 2010): 96. http://dx.doi.org/10.1109/ms.2010.42.

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17

PUDOV, Pavel Nailevich. "Software in landscape architecture". Russian Electronic Scientific Journal, n.º 1 (2022): 38–52. http://dx.doi.org/10.31563/2308-9644-2022-43-1-38-52.

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18

Stiller, L. B. "RETROGRADE ANALYSIS: SOFTWARE ARCHITECTURE". ICGA Journal 24, n.º 2 (1 de junio de 2001): 86–87. http://dx.doi.org/10.3233/icg-2001-24208.

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19

Gardner, Tracy y Renato Iannella. "Architecture and software solutions". Online Information Review 24, n.º 1 (febrero de 2000): 35–40. http://dx.doi.org/10.1108/14684520010320059.

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20

Johann, Sven. "Software Architecture for Developers". IEEE Software 32, n.º 5 (septiembre de 2015): 93–96. http://dx.doi.org/10.1109/ms.2015.125.

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21

Helm, Richard. "Patterns, architecture and software". ACM SIGPLAN Notices 31, n.º 1 (enero de 1996): 2–3. http://dx.doi.org/10.1145/249094.249099.

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22

Krdzalic, Galib y Alexander Driss. "Software Architecture Without Autosar". Auto Tech Review 3, n.º 4 (abril de 2014): 28–31. http://dx.doi.org/10.1365/s40112-014-0593-y.

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23

Hsu, Francis. "Software architecture axiom 1". Ubiquity 2005, July (julio de 2005): 1. http://dx.doi.org/10.1145/1086451.1086458.

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24

Savic, Dejan, Boban Pavlovic y Milan Sunjevaric. "Software: Based radio architecture". Vojnotehnicki glasnik 48, n.º 1 (2000): 48–54. http://dx.doi.org/10.5937/vojtehg0001048s.

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25

Chen, Mon-Song, Tsipora Barzilai y Harrick M. Vin. "Software architecture of DiCE". ACM SIGCOMM Computer Communication Review 22, n.º 3 (julio de 1992): 51–52. http://dx.doi.org/10.1145/142267.142298.

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26

John, Bonnie E. y Len Bass. "Usability and software architecture". Behaviour & Information Technology 20, n.º 5 (enero de 2001): 329–38. http://dx.doi.org/10.1080/01449290110081686.

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27

Huang, Gang. "Post-development software architecture". ACM SIGSOFT Software Engineering Notes 32, n.º 5 (septiembre de 2007): 1–9. http://dx.doi.org/10.1145/1290993.1290996.

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28

Galster, Matthias, Tomi Männistö, Danny Weyns y Paris Avgeriou. "Variability in software architecture". ACM SIGSOFT Software Engineering Notes 39, n.º 4 (5 de agosto de 2014): 33–34. http://dx.doi.org/10.1145/2632434.2632471.

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29

Galster, Matthias, Paris Avgeriou, Danny Weyns y Tomi Männistö. "Variability in software architecture". ACM SIGSOFT Software Engineering Notes 36, n.º 5 (30 de septiembre de 2011): 30–32. http://dx.doi.org/10.1145/2020976.2020978.

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30

Cheij, D. "Software architecture for building". IEEE Aerospace and Electronic Systems Magazine 17, n.º 1 (2002): 27–30. http://dx.doi.org/10.1109/62.978361.

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31

Wermelinger, Michel y José Luiz Fiadeiro. "Algebraic software architecture reconfiguration". ACM SIGSOFT Software Engineering Notes 24, n.º 6 (noviembre de 1999): 393–409. http://dx.doi.org/10.1145/318774.319256.

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32

Kluender, Daniel. "TRIZ for software architecture". Procedia Engineering 9 (2011): 708–13. http://dx.doi.org/10.1016/j.proeng.2011.03.159.

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33

Crnkovic, Ivica y Judith Stafford. "Embedded Systems Software Architecture". Journal of Systems Architecture 59, n.º 10 (noviembre de 2013): 1013–14. http://dx.doi.org/10.1016/j.sysarc.2013.11.005.

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34

Jansen, Anton, Paris Avgeriou y Jan Salvador van der Ven. "Enriching software architecture documentation". Journal of Systems and Software 82, n.º 8 (agosto de 2009): 1232–48. http://dx.doi.org/10.1016/j.jss.2009.04.052.

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35

Mitola, J. "The software radio architecture". IEEE Communications Magazine 33, n.º 5 (mayo de 1995): 26–38. http://dx.doi.org/10.1109/35.393001.

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36

GERKEN, MARK J. "SPECIFICATION OF SOFTWARE ARCHITECTURE". International Journal of Software Engineering and Knowledge Engineering 10, n.º 01 (febrero de 2000): 69–95. http://dx.doi.org/10.1142/s0218194000000067.

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Over the past several years, software architecture representation and analysis has become an active area of research. However, most approaches to software architecture representation and analysis have been informal. We postulate that through formality, the term "architecture" can be precisely defined and important properties of systems, such as semantic compatibility between connected entities, can be investigated with precision. In this paper, we use category theory and algebraic specifications to develop a formal definition of architecture and show how architecture theory can be used in the construction of software specifications.

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37

Lee, Jihyun, Sungwon Kang y Changsup Keum. "Architecture-Based Software Testing". International Journal of Software Engineering and Knowledge Engineering 28, n.º 01 (enero de 2018): 57–77. http://dx.doi.org/10.1142/s0218194018500031.

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It has been recognized by many researchers that the notion of test architecture should be utilized for software testing to cope with the task of testing complicated software, as it can support test architecture design and test case generation based on test architecture as well as efficient fault detection and error locating. However, in the current software testing theory and practice, the notion of test architecture and how it can be utilized for software testing are not well understood. To redress this situation, this paper provides foundational concepts and principles of architecture-based software testing to help utilize test architecture for software testing. Case study experiments are conducted to show how the concepts and principles of architecture-based software testing work and the effects that can be obtained by using architecture-based software testing.

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38

Tsuchiya, Mas. "Computer hardware/software architecture". Microprocessors and Microsystems 11, n.º 4 (mayo de 1987): 236. http://dx.doi.org/10.1016/0141-9331(87)90383-8.

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39

Xiang, Liang, Yang Hua, Jia Si Wang, Zhong Wei Chen y Song Yang Du. "Software Information Management-Oriented Software Architecture Analysis". Applied Mechanics and Materials 263-266 (diciembre de 2012): 1745–49. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1745.

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This paper is to study the common architecture of the software development and compare the software system architecture-selection criteria. Meanwhile, this paper offers appropriate software architecture solution according to the features of data information management of the software testing organization.

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40

Qing, Liu, Cao Kai y Lai Ying-yong. "FPGA Software Architecture for Software Defined Radio". Procedia Engineering 29 (2012): 2133–39. http://dx.doi.org/10.1016/j.proeng.2012.01.275.

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41

Choi, Yongseok y Jang-Eui Hong. "Designing Software Architecture for Reusing Open Source Software". Convergence Society for SMB 7, n.º 2 (30 de abril de 2017): 67–76. http://dx.doi.org/10.22156/cs4smb.2017.7.2.067.

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42

Itoh, Jun-Ichiro, Yasuhiko Yokote y Michel Feret. "A new software architecture for evolvable multimedia software". European Transactions on Telecommunications 8, n.º 4 (julio de 1997): 423–35. http://dx.doi.org/10.1002/ett.4460080414.

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43

Shulga, T. E. y D. E. Khramov. "Software System Architecture for Estimating Software Development Time". Programmnaya Ingeneria 15, n.º 9 (9 de septiembre de 2024): 476–84. http://dx.doi.org/10.17587/prin.15.476-484.

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The article is devoted to the issues of estimating the duration of software development, the solution of which can significantly improve the efficiency of software projects. The relevance of the topic is conditioned by the rapid development of software development methodologies, on which the existing algorithms of such estimation depend, and, as a consequence, by the rapid obsolescence of approaches to solving this problem. A systematic analysis of the main algorithms for estimating software development duration is carried out. The classification of such algorithms is presented. The algorithm of software development duration estimation and the idea of the system implementing it, which will allow end users to automate this process, are proposed. The approaches to implementation of algorithms of retrospective (historical) estimation, PERT, expert estimation are considered. The prospectivity of researches in the field of implementation of methods of expert evaluation using neural networks is shown. The architecture of the proposed system is described. A prototype of the system implementing the method of retrospective evaluation based on the evaluation of the speed of the development team is developed.

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44

Kumar, Ashish. "Software Architecture Styles: A Survey". International Journal of Computer Applications 87, n.º 9 (14 de febrero de 2014): 5–9. http://dx.doi.org/10.5120/15234-3768.

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45

Losavio, Francisca, Ledis Chirinos, Nicole Lévy y Amar Ramdane-Cherif. "Quality Characteristics for Software Architecture." Journal of Object Technology 2, n.º 2 (2003): 133. http://dx.doi.org/10.5381/jot.2003.2.2.a2.

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46

Dave, Chitrak Vimalbhai. "Microservices Software Architecture: A Review". International Journal for Research in Applied Science and Engineering Technology 9, n.º 11 (30 de noviembre de 2021): 1494–96. http://dx.doi.org/10.22214/ijraset.2021.39036.

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Abstract: Architecting is an indispensable activity in all spheres and paradigms of Software Engineering. DevOps, a portmanteau of Development and Operations, has a major adoption challenge in context to Microservices Architecture. Architecture refers to the most important aspect of internal design of a software. Architecture must be good otherwise; it will become slow and much more expensive to add new proficiencies in future. This paper has presented a review of microservices architecture and implementation patterns. Microservice approach is a new concept in software architecture patterns and has leapt up over past few years for describing a certain method to design software applications as collections of individualistically deployable services. In this paper we are looking to discover the role of microservices software architecture in DevOps. It is found that adopting DevOps may carry many challenges/issues like organizational values, immaturity of the tools and infrastructural support with it for architecting with it. Keywords: Microservices Architecture, Microservice, Service Oriented Architecture (SOA), Software Architecture, DevOps

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47

Cuesta, Carlos. "Software Architecture and Future Challenges". International Journal of Software Architecture 1, n.º 1 (1 de agosto de 2010): 1–2. http://dx.doi.org/10.5308/2153-8409.001.01.002.

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48

V, SUJAY y REDDY M. BABU. "ADVANCED ARCHITECTURE-CENTRIC SOFTWARE MAINTENANCE". i-manager’s Journal on Software Engineering 12, n.º 1 (2017): 1. http://dx.doi.org/10.26634/jse.12.1.13917.

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49

YU, Zhi-Bin, Hai JIN y Nan-Hai ZOU. "Computer Architecture Software-Based Simulation". Journal of Software 19, n.º 4 (25 de marzo de 2010): 1051–68. http://dx.doi.org/10.3724/sp.j.1001.2008.01051.

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50

Huang, Gang, Hong Mei y Qian-xiang Wang. "Towards software architecture at runtime". ACM SIGSOFT Software Engineering Notes 28, n.º 2 (marzo de 2003): 8. http://dx.doi.org/10.1145/638750.638780.

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