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Artículos de revistas sobre el tema "Component software"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 31 de julio de 2024

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1

S, R. Chinnaiyan y Somasundaram . "Reliability of Component Based Software with Similar Software Components � a Review". i-manager's Journal on Software Engineering 5, n.º 2 (15 de diciembre de 2010): 44–49. http://dx.doi.org/10.26634/jse.5.2.1335.

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2

Kwong, C. K., L. F. Mu, J. F. Tang y X. G. Luo. "Optimization of software components selection for component-based software system development". Computers & Industrial Engineering 58, n.º 4 (mayo de 2010): 618–24. http://dx.doi.org/10.1016/j.cie.2010.01.003.

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3

Lau, Kung-Kiu y Zheng Wang. "Software Component Models". IEEE Transactions on Software Engineering 33, n.º 10 (octubre de 2007): 709–24. http://dx.doi.org/10.1109/tse.2007.70726.

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4

Goguen, Joseph, Doan Nguyen, José Meseguer, Luqi, Du Zhang y Valdis Berzins. "Software component search". Journal of Systems Integration 6, n.º 1-2 (marzo de 1996): 93–134. http://dx.doi.org/10.1007/bf02262753.

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5

Morris, J., G. Lee, K. Parker, G. A. Bundell y Chiou Peng Lam. "Software component certification". Computer 34, n.º 9 (2001): 30–36. http://dx.doi.org/10.1109/2.947086.

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6

Phanthanithilerd, Nattapon y Nakornthip Prompoon. "Verifying Software Requirements Characteristics Based on Rules Defined from Software Component Relationships". Lecture Notes on Software Engineering 4, n.º 1 (2016): 27–33. http://dx.doi.org/10.7763/lnse.2016.v4.219.

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7

Min, Byungho y Vijay Varadharajan. "Rethinking Software Component Security: Software Component Level Integrity and Cross Verification". Computer Journal 59, n.º 11 (10 de agosto de 2016): 1735–48. http://dx.doi.org/10.1093/comjnl/bxw047.

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8

Shah, Shubh. "Component Based Software Engineering". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 1588–95. http://dx.doi.org/10.22214/ijraset.2021.37632.

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Abstract: The central idea of Component Based Engineering is to develop a system software by selecting the well defined software components not used often and assembling them with certain system architecture. Nowadays the software development pattern is far different from the earlier approach as many new concepts are being taken into consideration E.g. QA (QualityAssurance). This term paper includes a detailed description of all the current component based software techniques used as well as their advantages and disadvantages. We also address the quality assurance issue of component based software engineering.

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9

Geum, Yeong-Uk y Byeong-Seop Park. "Component Retrieval using Extended Software Component Descriptor". KIPS Transactions:PartD 9D, n.º 3 (1 de junio de 2002): 417–26. http://dx.doi.org/10.3745/kipstd.2002.9d.3.417.

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10

Kaur, Arvinder y Kulvinder Singh Mann. "Component Selection for Component Based Software Engineering". International Journal of Computer Applications 2, n.º 1 (10 de mayo de 2010): 109–14. http://dx.doi.org/10.5120/604-854.

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11

Lee, Janghyuk, Se-Joon Hong, Yeong-Wha Sawng y Ju Seong Kim. "Perceived Subjective Features of Software Components: Consumer Behavior in a Software Component Market". ETRI Journal 31, n.º 3 (5 de junio de 2009): 304–14. http://dx.doi.org/10.4218/etrij.09.0108.0643.

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12

Suranto, Beni. "Software Testing in Component-Based Software Engineering". Advanced Science Letters 22, n.º 10 (1 de octubre de 2016): 3110–14. http://dx.doi.org/10.1166/asl.2016.8004.

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13

van der Hoek, Andr� y Alexander L. Wolf. "Software release management for component-based software". Software: Practice and Experience 33, n.º 1 (2002): 77–98. http://dx.doi.org/10.1002/spe.496.

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14

KRISTIANSEN, MONICA, RUNE WINTHER y BENT NATVIG. "ON COMPONENT DEPENDENCIES IN COMPOUND SOFTWARE". International Journal of Reliability, Quality and Safety Engineering 17, n.º 05 (octubre de 2010): 465–93. http://dx.doi.org/10.1142/s0218539310003895.

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Predicting the reliability of software systems based on a component approach is inherently difficult, in particular due to failure dependencies between the software components. Since it is practically difficult to include all component dependencies in a system's reliability calculation, a more viable approach would be to include only those dependencies that have a significant impact on the assessed system reliability. This paper starts out by defining two new concepts: data-serial and data-parallel components. Then, this paper illustrates how the components' marginal reliabilities put direct restrictions on the components' conditional probabilities, and proves that the degrees of freedom are much fewer than first anticipated when it comes to conditional probabilities. At last, a test system, consisting of five components, is investigated to identify possible rules for selecting the most important component dependencies. To do this, three different techniques are applied: (1) direct calculation, (2) Birnbaum's measure and (3) Principal Component Analysis (PCA). The results from the analyses clearly show that including partial dependency information may give substantial improvements in the reliability predictions, compared to assuming independence between all software components. The analyses also indicate that including only dependencies between data-parallel components may give predictions close to the system's true failure probability, as long as the dependency between the most unreliable components is included. Including only dependencies between data-serial components may however result in predictions even worse than by assuming independence between all software components.

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15

Nierstrasz, Oscar, Simon Gibbs y Dennis Tsichritzis. "Component-oriented software development". Communications of the ACM 35, n.º 9 (1 de septiembre de 1992): 160–65. http://dx.doi.org/10.1145/130994.131005.

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16

Crnkovic, Ivica, Stig Larsson y Judith Stafford. "Component-based software engineering". ACM SIGSOFT Software Engineering Notes 27, n.º 3 (mayo de 2002): 47–50. http://dx.doi.org/10.1145/638574.638587.

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17

Voas, J. "Composing software component "ilities"". IEEE Software 18, n.º 4 (julio de 2001): 16–17. http://dx.doi.org/10.1109/ms.2001.936211.

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18

Boegh, J. "Certifying software component attributes". IEEE Software 23, n.º 3 (mayo de 2006): 74–81. http://dx.doi.org/10.1109/ms.2006.69.

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19

Kozaczynski, W. y G. Booch. "Component-Based Software Engineering". IEEE Software 15, n.º 5 (septiembre de 1998): 34–36. http://dx.doi.org/10.1109/ms.1998.714621.

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20

Kaur, Arvinder y Kulvinder Singh Mann. "Component Based Software Engineering". International Journal of Computer Applications 2, n.º 1 (10 de mayo de 2010): 105–8. http://dx.doi.org/10.5120/605-855.

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21

Arató, Péter, Zoltán Ádám Mann y András Orbán. "Extending component-based design with hardware components". Science of Computer Programming 56, n.º 1-2 (abril de 2005): 23–39. http://dx.doi.org/10.1016/j.scico.2004.11.003.

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22

Gulia, Preeti y Palak Palak. "Component Based Software Development Life Cycle Models: A Comparative Review". Oriental journal of computer science and technology 10, n.º 2 (3 de junio de 2017): 467–73. http://dx.doi.org/10.13005/ojcst/10.02.30.

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The development of high quality software is the need of current technology driven world. Component Based Software Engineering (CBSE) has provided a cost effective, fast and modular approach for developing complex software. CBSE is mainly based on the concept of reusability. Apart from these CBSE has several advantages as well as challenges which are summarized in this paper. Large and complex software development requires management of reusable components and can be selected from component repository and assembled to obtain a working application. Development of components and their assembly is different from traditional softwares which leads to the need of new development paradigms for Component Based Systems (CBS). Software development life cycle (SDLC) provides planned and systematic arrangement of activities to be carried out to deliver high quality products within time and budget. This paper presents a comparative study of component based software development life cycle models with their strengths and weaknesses.

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23

Yang, Fan, Z. H. Dong y Jue Wang. "Method and Software Generation Platform". Applied Mechanics and Materials 743 (marzo de 2015): 563–67. http://dx.doi.org/10.4028/www.scientific.net/amm.743.563.

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This paper proposed a method and software generation platform, which can automatically generate C++ codes of math equation, and package the software and method into a standard component. Also, the system integrates different types of methods in the unified information processing system with standard interface and format. Users can create new component and design experimental task with existing components. The system is quite convenient for developers to develop new component, easy for administrators to manage all existing component, and simple for users to design and operate experimental task.

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24

Val'kevich, T. A., Yu V. Kapitonova, A. A. Letichevskii y N. M. Mishchenko. "Paradigm of software component dictionaries for software development". Cybernetics and Systems Analysis 32, n.º 6 (noviembre de 1996): 766–76. http://dx.doi.org/10.1007/bf02366858.

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25

Kumar, Gottipalla Ashok. "Comparison Of Conventional Approach with Component Based Software Development". International Journal of Scientific Research 2, n.º 2 (1 de junio de 2012): 141–42. http://dx.doi.org/10.15373/22778179/feb2013/47.

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26

SITARAMAN, MURALI. "PERFORMANCE-PARAMETERIZED REUSABLE SOFTWARE COMPONENTS". International Journal of Software Engineering and Knowledge Engineering 02, n.º 04 (diciembre de 1992): 567–87. http://dx.doi.org/10.1142/s0218194092000269.

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Current programming languages support construction of parameterized reusable components that can be adapted and composed to create new functionality. For widespread reuse, software components must also have readily adaptable performance. This paper introduces language mechanisms for creating such performance-parameterized reusable software components and for controlling their performance by "plugging in" appropriate constituent components. A key element of the proposed approach is that it provides inexpensive performance tuning. It permits performance of a tunable component to be changed without modifications to the functionality of the component or its clients; in principle, without the need for re-compilation or re-validation of functionality.

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27

Iqbal, Nayyar y Jun Sang. "Fuzzy Logic Testing Approach for Measuring Software Completeness". Symmetry 13, n.º 4 (5 de abril de 2021): 604. http://dx.doi.org/10.3390/sym13040604.

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Due to advancements in science and technology, software is constantly evolving. To adapt to newly demanded requirements in a piece of software, software components are modified or developed. Measuring software completeness has been a challenging task for software companies. The uncertain and imprecise intrinsic relationships within software components have been unaddressed by researchers during the validation process. In this study, we introduced a new fuzzy logic testing approach for measuring the completeness of software. We measured the fuzzy membership value for each software component by a fuzzy logic testing approach called the fuzzy test. For each software component, the system response was tested by identifying which software components in the system required changes. Based on the measured fuzzy membership values for each software component, software completeness was calculated. The introduced approach scales the software completeness between zero and one. A software component with a complete membership value indicates that the software component does not require any modification. A non-membership value specifies that the existing software component is no longer required in the system or that a new software component is required to replace it. The partial membership value specifies that the software component requires few new functionalities according to the new software requirements. Software with a partial membership value requires partial restructuring and design recovery of its components. Symmetric design of software components reduces the complexity in the restructuring of software during modification. In the study, we showed that by using the introduced approach, high-quality software that is faultless, reliable, easily maintained, efficient, and cost-effective can be developed.

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28

RAVICHANDRAN, K. S., K. R. SEKAR y P. SURESH. "A NOVEL APPROACH FOR OPTIMAL GROUPING OF REUSABLE SOFTWARE COMPONENTS FOR COMPONENT BASED SOFTWARE DEVELOPMENT SYSTEMS". International Journal of Software Engineering and Knowledge Engineering 23, n.º 07 (septiembre de 2013): 895–912. http://dx.doi.org/10.1142/s0218194013500253.

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Component Based Software (CBS) development is the assembling of already developed components and preparing for integration. For the last two decades, researchers have been concentrating much on CBS both in industry and academia, because CBS helps in the reduction of manpower, cost, software development time and better system maintainability. The selection of the best component from the large collection of components is a difficult task and only few researchers have addressed this issue so far by using optimization techniques. In this paper, we propose a new methodology to group the components effectively, based on the software architecture, by using fuzzy concepts. Again, Fuzzy Clustering Technique (FCT) is introduced to find the optimal grouping between the reusable components and the software architectures. The proposed model has the following advantages: (i) the proposed Fuzzy Weighted Relational Coefficient (FWRC) is used to measure the fuzzy relational value of the suggested 9 component parameters; (ii) A mathematical model is established to remove all less utility leveled components before grouping; (iii) FCT performs on newly developed similarity coefficient formula; (iv) Zero — One programming (optimization) technique is used to optimize the group; (v) Fuzzy Weighted Approach is used to find the dominant component among the component grouping, and (vi) Optimal grouping is achieved by the property, namely, maximizing the cohesion and minimizing the coupling when compared to other methods. Finally, the validation of the derived methodology is verified with sample Business Enterprise Applications.

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29

Kaur, Amandeep, Puninder Kaur y Payal Kaushal. "Maintainability Procedure in Component-Based Software". Journal of Computational and Theoretical Nanoscience 17, n.º 11 (1 de noviembre de 2020): 5156–61. http://dx.doi.org/10.1166/jctn.2020.9357.

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Changes in service requirement of software demands consequent changes in its maintainability. An important aspect of changes is that it affects various factors in Component Based Software Engineering which is reuse-based approach to define, implement, and integrate different components into system. Variety of Component-based software frameworks for distributed, real-time and embedded systems in Component-oriented programming are existing for specific domains in order to deal with different requirements. Functionalities under component based system affecting multiple factors in a distributed environment. It is therefore more than necessary to consider various quality attributes like reliability, maintainability, interpretability and reusability for determining quality assurance. The article presents an approach to enhance the promptness of system maintainability in case of changes in component based software.

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30

Kotonya, G. y N. Maiden. "Editorial: Component-based software engineering". IEE Proceedings - Software 147, n.º 6 (2000): 201. http://dx.doi.org/10.1049/ip-sen:20000937.

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31

Alvaro, Alexandre, Eduardo Santana de Almeida y Silvio Romero de Lemos Meira. "A software component quality framework". ACM SIGSOFT Software Engineering Notes 35, n.º 1 (25 de enero de 2010): 1–18. http://dx.doi.org/10.1145/1668862.1668863.

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32

Vouillon, Jérôme y Roberto Di Cosmo. "On software component co-installability". ACM Transactions on Software Engineering and Methodology 22, n.º 4 (octubre de 2013): 1–35. http://dx.doi.org/10.1145/2522920.2522927.

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33

Gunner, G. "Review: Component-Based Software Engineering". Computer Bulletin 40, n.º 6 (1 de noviembre de 1998): 31. http://dx.doi.org/10.1093/combul/40.6.31-a.

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34

Kaur, Kuljit y Hardeep Singh. "Evaluating an evolving software component". ACM SIGSOFT Software Engineering Notes 34, n.º 4 (6 de julio de 2009): 1–4. http://dx.doi.org/10.1145/1543405.1543415.

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35

Chavez, A., C. Tornabene y G. Wiederhold. "Software component licensing: a primer". IEEE Software 15, n.º 5 (1998): 47–53. http://dx.doi.org/10.1109/52.714771.

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36

Sitariman, Marulli y Bruce Weide. "Component-based software using RESOLVE". ACM SIGSOFT Software Engineering Notes 19, n.º 4 (octubre de 1994): 21–22. http://dx.doi.org/10.1145/190679.199221.

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37

Wooley, Bruce A. "Explanation component of software system". XRDS: Crossroads, The ACM Magazine for Students 5, n.º 1 (septiembre de 1998): 24–28. http://dx.doi.org/10.1145/332925.332933.

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38

Ratneshwer y A. K. Tripathi. "Dependence analysis of software component". ACM SIGSOFT Software Engineering Notes 35, n.º 4 (20 de julio de 2010): 1–9. http://dx.doi.org/10.1145/1811226.1811237.

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39

Baker, Nigel, Jean-Marie LeGoff y Ian Willers. "Panel session on component software". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 389, n.º 1-2 (abril de 1997): 22–25. http://dx.doi.org/10.1016/s0168-9002(97)00033-8.

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40

Broy, Manfred, Anton Deimel, Juergen Henn, Kai Koskimies, František Plášil, Gustav Pomberger, Wolfgang Pree, Michael Stal y Clemens Szyperski. "What characterizes a (software) component?" Software - Concepts & Tools 19, n.º 1 (marzo de 1998): 49–56. http://dx.doi.org/10.1007/s003780050007.

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41

Hair, Abdellatif. "A New Software Component Approach". International Journal of Computer Applications 135, n.º 2 (17 de febrero de 2016): 1–7. http://dx.doi.org/10.5120/ijca2016908265.

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42

Adler, R. M. "Emerging standards for component software". Computer 28, n.º 3 (marzo de 1995): 68–77. http://dx.doi.org/10.1109/2.366164.

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43

Crnkovic, Ivica, Heinz W. Schmidt, Judith Stafford y Kurt Wallnau. "Automated Component-Based Software Engineering". Journal of Systems and Software 74, n.º 1 (enero de 2005): 1–3. http://dx.doi.org/10.1016/j.jss.2003.11.016.

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44

Fatima, Fariha, Saqib Ali y Muhammad Usman Ashraf. "Risk Reduction Activities Identification in Software Component Integration for Component Based Software Development (CBSD)". International Journal of Modern Education and Computer Science 9, n.º 4 (8 de abril de 2017): 19–31. http://dx.doi.org/10.5815/ijmecs.2017.04.03.

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45

Ando, Noriaki, Shinji Kurihara, Geoffrey Biggs, Takeshi Sakamoto, Hiroyuki Nakamoto y Tetsuo Kotoku. "Software Deployment Infrastructure for Component Based RT-Systems". Journal of Robotics and Mechatronics 23, n.º 3 (20 de junio de 2011): 350–59. http://dx.doi.org/10.20965/jrm.2011.p0350.

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In component-based Robotic Technology (RT) systems, launching the system involves installing component binary files to the target computers, instantiation of components, and establishing connections between components. In order to operate RT systems with many CPU nodes effectively, the deployment features provided by the middleware are important. Deployment means system life-cycle management, including software installation, configuring components, and launching components. In this paper, we describe deployment tools for RT systems. The component deployment functionality is realized based on the OMG Robotic Technology Component (RTC) specification [1]. Description formats are defined, a service interface is designed and tools are implemented using the OpenRTM-aist that is the implementation of the OMG RTC specification. The implemented deployment infrastructure is evaluated and discussed, and issues and potential future work are considered.

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46

Lavrischeva, E. M., O. A. Slabospitskaya, A. Yu Stenyashin y A. L. Kolesnyk. "Object-component development of changeable software systems". PROBLEMS IN PROGRAMMING, n.º 1 (enero de 2016): 003–16. http://dx.doi.org/10.15407/pp2016.01.003.

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Complementary limitations of both Software Product Lines industrial technologies and Lavrischeva – Grishenrko object-component method concerning changeable software development are elicited such as the lack of formalisms for program assets building and ill predictability of this build features. To cope with the limitations universal Model of Software Family Variant Features is proposed expanding its tradi-tional feature model for basic development artifacts. For assets being considered as reusable Components final Changeable Software Object-Component Model is elaborated including the universal model above being adjusted as Software Variability Object-Component Model. The Algebra is depicted for the operations of both the Components configuring and data types transforming over their interaction within changeable software system. These operations are proposed to incorporate into the target process for Changeable Software Family proactive and informed Variability management being represented with its technological chart. The process proposed composes the functions for variability Planning, Implementing and Control as well as Family model/consist Evolving up to the Control results. The functions listed are performed within common information environment structured accordingly to Variant Features Model or its object-component adjustment. Trial software tool for configuring Components in the above process is probed. The usage is depicted of both the framework proposed and this tool over technological lines being implemented in Software Systems Institute of NAS of Ukraine Instrumental-technological complex for changeable software configuring from the components.

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47

Agarwal, Jyoti, Sanjay Kumar Dubey y Rajdev Tiwari. "Usability evaluation of component based software system using software metrics". Intelligent Decision Technologies 14, n.º 3 (29 de septiembre de 2020): 281–89. http://dx.doi.org/10.3233/idt-190021.

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Component Based Software Engineering (CBSE) provides a way to create a new Component Based Software System (CBSS) by utilizing the existing components. The primary reason for that is to minimize the software development time, cost and effort. CBSS also increases the component reusability. Due to these advantages, software industries are working on CBSS and continuously trying to provide quality product. Usability is one of the major quality factors for CBSS. It should be measured before delivering the software product to the customer, so that if there are any usability flaws, it can be removed by software development team. In this paper, work has been done to evaluate the usability of CBSS based on major usability sub-factors (learnability, operability, understandability and configurability). For this purpose, firstly software metrics are identified for each usability sub-factor and the value of each sub-factor is evaluated for a component based software project. Secondly, overall usability of the software project is evaluated by using the calculated value of each usability sub-factor. Usability for the same project was also evaluated using Fuzzy approach in MATLAB to validate the experimental work of this research paper. It was identified that the value of usability obtained from software metrics and fuzzy model was very similar. This research work will be useful for the software developer to evaluate the usability of any CBSS and will also help them to compare different version of any CBSS in term of their usability.

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48

Chen, Ji Xiong, Zhen Xi Huang, Zhong Shuang Liu y Xia Cai. "A Software Engineering Method Based on Bionic Components". Applied Mechanics and Materials 651-653 (septiembre de 2014): 1776–83. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1776.

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With the development of Information Technology, the traditional software engineering method is no longer fully meet the needs of software development. Thesis, according to the point of view of bionics, combined with the analysis of animal architecture, presents the concept of bionic components characteristic of animal body organs and the software engineering method which uses bionic components as the basic unit, based on bionic component method for short. In this paper, the bionic component model, the process model based on bionic component method and the life cycle model based on bionic component method are studied. And on the basis of these models, detailed describes the software development method based on bionic components.

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49

Jiang, Long Qiang, Hai Tao Wang y Yi Ye. "Research on Component-Based Software Reuse Technology". Advanced Materials Research 403-408 (noviembre de 2011): 2688–91. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2688.

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The software reuse technology based on components is a solution which can avoid reusable work for software development. The component is among the core technologies of component-based software development, is has become one of the focus in the field of software reuse. This paper presents fundamental concepts and key techniques of software reuse. The emphasis of the paper presents the model of component.

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50

SinghChhillar, Rajender y Parveen Kajla. "New Component Composition Metrics for Component based Software Development". International Journal of Computer Applications 60, n.º 15 (18 de diciembre de 2012): 17–20. http://dx.doi.org/10.5120/9767-3641.

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