Journal articles on the topic 'Component software – Evaluation'

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1

Yahlali, Mebarka, and Abdellah Chouarfia. "Towards a software component assembly evaluation." IET Software 9, no. 1 (February 2015): 1–6. http://dx.doi.org/10.1049/iet-sen.2014.0001.

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Agarwal, Jyoti, Sanjay Kumar Dubey, and Rajdev Tiwari. "Usability evaluation of component based software system using software metrics." Intelligent Decision Technologies 14, no. 3 (September 29, 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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LIU, Cong. "Quantitative Evaluation of Software Component Behavior Discovery Approach." IEICE Transactions on Information and Systems E104.D, no. 1 (January 1, 2021): 117–20. http://dx.doi.org/10.1587/transinf.2020mpl0001.

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4

Ji, Xueyun, and Zihui Che. "Research on Evaluation of Component-Based Software Testing." Research Journal of Applied Sciences, Engineering and Technology 6, no. 6 (June 30, 2013): 1106–10. http://dx.doi.org/10.19026/rjaset.6.4020.

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5

SHARMA, ARUN, RAJESH KUMAR, and P. S. GROVER. "EMPIRICAL EVALUATION AND VALIDATION OF INTERFACE COMPLEXITY METRICS FOR SOFTWARE COMPONENTS." International Journal of Software Engineering and Knowledge Engineering 18, no. 07 (November 2008): 919–31. http://dx.doi.org/10.1142/s0218194008003957.

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The major drivers for complex applications are cost, efficiency, development time, understandability, usability and more importantly the maintainability. Due to their black box nature, complexity of software components is more crucial for component-based systems. This paper discusses various complexity concerns for these systems and reviews a number of complexity metrics for software components and component-based systems. As interfaces are the only source of information to know about the black-box components, this paper proposes a new interface complexity metric for these components. This metric is based on the information available in the interfaces like interface methods and properties. It also discusses the methodology to assign the weight values to these methods and properties to finally evaluate the complexity of the component. This paper validates the proposed metric against standard Weyukar's properties and empirically evaluates the metric for several Java Bean components. Finally a correlation analysis between proposed metrics and several other metrics like performance, customizability and readability is done to validate the metric.
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Ismail, Suryani, Fatihah Mohd, Masita Abdul Jalil, and Wan M. N. Wan Kadir. "Development metrics measurement level for component reusability evaluation approach (CREA)." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (December 1, 2019): 5428. http://dx.doi.org/10.11591/ijece.v9i6.pp5428-5435.

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The study of software component reuse is rising in software development field and one of the methods used to reduce the production cost and time. Among the problems faced by software developers in component reuse, is the difficulty to determine which set of components are suitable to use in new software development. Thus, this study was conducted with the purpose; to define the characteristics of software component reusability evaluation approach (CREA) based on experienced software developer’s feedback, and to estimate the measurement level for each of the predefined metric. Three characteristics and sub characteristics, namely understandability (documentation level and observality), adaptability (customizability), and portability (external dependency) were identified that have been used to develop the metrics for CREA. The result for all metrics will be used as an input to the fuzzy inference system (FIS) for measuring the reusability level of the component.
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Banerjee, Prasenjit, and Anirban Sarkar. "Quality Evaluation of Component-Based Software: An Empirical Approach." International Journal of Intelligent Systems and Applications 10, no. 12 (December 8, 2018): 80–91. http://dx.doi.org/10.5815/ijisa.2018.12.08.

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8

Koziolek, Heiko. "Performance evaluation of component-based software systems: A survey." Performance Evaluation 67, no. 8 (August 2010): 634–58. http://dx.doi.org/10.1016/j.peva.2009.07.007.

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9

Saputri, Theresia Ratih Dewi, and Seok-Won Lee. "Software Analysis Method for Assessing Software Sustainability." International Journal of Software Engineering and Knowledge Engineering 30, no. 01 (January 2020): 67–95. http://dx.doi.org/10.1142/s0218194020500047.

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Software sustainability evaluation has become an essential component of software engineering (SE) owing to sustainability considerations that must be incorporated into software development. Several studies have been performed to address the issues associated with sustainability concerns in the SE process. However, current practices extensively rely on participant experiences to evaluate sustainability achievement. Moreover, there exist limited quantifiable methods for supporting software sustainability evaluation. Our primary objective is to present a methodology that can assist software engineers in evaluating a software system based on well-defined sustainability metrics and measurements. We propose a novel approach that combines machine learning (ML) and software analysis methods. To simplify the application of the proposed approach, we present a semi-automated tool that supports engineers in assessing the sustainability achievement of a software system. The results of our study demonstrate that the proposed approach determines sustainability criteria and defines sustainability achievement in terms of a traceable matrix. Our theoretical evaluation and empirical study demonstrate that the proposed support tool can help engineers identify sustainability limitations in a particular feature of a software system. Our semi-automated tool can identify features that must be revised to enhance sustainability achievement.
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Martens, Anne, Heiko Koziolek, Lutz Prechelt, and Ralf Reussner. "From monolithic to component-based performance evaluation of software architectures." Empirical Software Engineering 16, no. 5 (August 28, 2010): 587–622. http://dx.doi.org/10.1007/s10664-010-9142-8.

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11

R, Chinnaiyan, and S. Somasundaram. "Neural Networks Based Approach for Component Based Software Reliability Evaluation." i-manager's Journal on Software Engineering 3, no. 3 (March 15, 2009): 6–10. http://dx.doi.org/10.26634/jse.3.3.188.

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ZHANG, Yuan-ming, Gang XIAO, Gong-xu XU, and Jia-wei LU. "Evolution of software product family component and its complexity evaluation." Journal of Computer Applications 31, no. 3 (May 18, 2011): 826–30. http://dx.doi.org/10.3724/sp.j.1087.2011.00826.

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13

Tu, Min, Shiyang Xu, and Jianfeng Xu. "Evaluation Method of Public Transportation System Based on Fuzzy Cloud Model." International Journal of Digital Crime and Forensics 10, no. 4 (October 2018): 36–51. http://dx.doi.org/10.4018/ijdcf.2018100103.

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This article describes how the public traffic system evaluation is an important measure to strengthen the management of urban transportation. Many scholars have evaluated the public transportation system, but lack research on different index weights of it. In past models, although the fuzzy assessment method was integrated into an evaluation methodology, its randomness was reflected unclearly. To solve the problems, a fuzzy evaluation of a cloud model is researched. Firstly, the corresponding weights of all indexes are calculated by analytic hierarchy process (AHP) and a clustering method. Then, the principal component of the indexes is extracted by the principal component analysis. According to the distribution of a principal component and processed with the cloud model, a subordinate degree function was established. Finally, scoring cities by combining the principal component weight and membership cloud matrix and evaluating the public transportation system. Comparing the matter-element analysis and the AHP gray model method, this proposed model in this article can evaluate the performance of different urban traffic systems more practically.
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14

Surendar, A., M. Kavitha, and V. Saravanakumar. "Proactive model based testing and evaluation for component-based systems." International Journal of Engineering & Technology 7, no. 1.1 (December 21, 2017): 74. http://dx.doi.org/10.14419/ijet.v7i1.1.8927.

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Embedded software systems are getting more and more complex. The demand for new features and functions led to an increasing complexity in the design and development of these systems. There are frequent reports in the media about software systems crashing and damages occurring due to software errors. One reason for this is that there are many software testing methods and techniques but they are often non-practical and difficult to use. The aim of the study was to improve existing testing methods and their practicality especially from the integrator viewpoint. Component-based system development, components of different granularities must be tested. Furthermore, an optimization approach based on simulated annealing is presented which is used to derive an integration order with respect to the proposed parameters in a powerful and reliable manner. The paper discusses explicit properties and the requirements that are to be verified, imposed upon software-intensive systems by their environment and by their users.
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15

Mohana Roopa, Y., M. Ramesh Babu, Jetti Kumar, and D. Kishore Babu. "Optimal component architecture using particle swarm optimization algorithm for self-adaptive software architecture." International Journal of Engineering & Technology 7, no. 1.6 (June 1, 2018): 23. http://dx.doi.org/10.14419/ijet.v7i1.6.11387.

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The component-based software engineering (CBSE) ensue the procedure of reconfiguration and reusability of components to reap the higher productivity. The context-aware structures are portion of CBSE, which observes the functionality of the system and adopt automatically according to the execution context. In this paper, we are focusing on the aware context guidelines that automatically adapt to the given context given by the customers and remodel the software architecture based totally on the requirements. The component repository turned into added, in which it carries the wide variety of reusable components. The fuzzy logic becomes carried out to the component evaluation in the component repository. The Particle Swarm Optimization (PSO) algorithm applied, to optimize component architecture. The Hospital management system is used to test the adaptability of the system.
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16

Sitaraman, Murali, Timothy J. Long, Bruce W. Weide, E. James Harner, and Liqing Wang. "Teaching Component-Based Software Engineering: A Formal Approach and Its Evaluation." Computer Science Education 12, no. 1-2 (March 2002): 11–36. http://dx.doi.org/10.1076/csed.12.1.11.8210.

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17

Gu, Jun Fang, Chang Jun Zhu, and Zhen Chun Hao. "Application of Principal Component Analysis in Water Quality Evaluation by SPSS Software." Advanced Materials Research 403-408 (November 2011): 3277–80. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3277.

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In view of the defect of traditional water quality evaluation model, principal component analysis method is developed to evaluate surface water quality in Baoying country. By SPSS software, principal component model is applied to evaluate water quality at representative sections in Baoying surface area. Principal component analysis is a way to reduce orginal dimension, to make multiple variables inti a few comprehensive index. By the combination of variables index, adjusting the combinatorial coefficient to make the new variables representative independent. The process is introduced in the paper in detail.The results indicate that principal component model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control.
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18

CAI, XIA, MICHAEL R. LYU, and KAM-FAI WONG. "COMPONENT-BASED EMBEDDED SOFTWARE ENGINEERING: DEVELOPMENT FRAMEWORK, QUALITY ASSURANCE AND A GENERIC ASSESSMENT ENVIRONMENT." International Journal of Software Engineering and Knowledge Engineering 12, no. 02 (April 2002): 107–33. http://dx.doi.org/10.1142/s0218194002000846.

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Embedded software is used to control the functions of mechanical and physical devices by dedicated digital signal processor and computers. Nowadays, heterogeneous and collaborative embedded software systems are widely adopted to engage the physical world. To make such software extremely reliable, very efficient and highly flexible, component-based embedded software development can be employed for the complex embedded systems, especially those based on object-oriented (OO) approaches. In this paper, we introduce a component-based embedded software framework and the features it inherits. We propose a quality assurance (QA) model for component-based embedded software development, which covers both the component QA and the system QA as well as their interactions. Furthermore, we propose a generic quality assessment environment for component-based embedded systems: ComPARE. ComPARE can be used to assess real-life off-the-shelf components and to evaluate and validate the models selected for their evaluation. The overall component-based embedded systems can then be composed and analyzed seamlessly.
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19

Senthil, R., D. S. Kushwaha, and A. K. Misra. "An Extended Component Model and its evaluation for Reliability & Quality." Journal of Object Technology 7, no. 7 (2008): 109. http://dx.doi.org/10.5381/jot.2008.7.7.a3.

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20

Narasimhan, V. Lakshmi, P. T. Parthasarathy, and M. Das. "Evaluation of a Suite of Metrics for Component Based Software Engineering (CBSE)." Issues in Informing Science and Information Technology 6 (2009): 731–40. http://dx.doi.org/10.28945/1093.

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21

McArthur, Kevin, Hossein Saiedian, and Mansour Zand. "An evaluation of the impact of component-based architectures on software reusability." Information and Software Technology 44, no. 6 (April 2002): 351–59. http://dx.doi.org/10.1016/s0950-5849(02)00020-4.

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22

Li, Kewen, Lu Liu, Jiannan Zhai, Taghi M. Kosgoftaar, Mingwen Shao, and Wenying Liu. "Reliability Evaluation Model of Component-Based Software Based on Complex Network Theory." Quality and Reliability Engineering International 33, no. 3 (June 16, 2016): 543–50. http://dx.doi.org/10.1002/qre.2033.

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23

Liao, Zitian, Shah Nazir, Habib Ullah Khan, and Muhammad Shafiq. "Assessing Security of Software Components for Internet of Things: A Systematic Review and Future Directions." Security and Communication Networks 2021 (February 15, 2021): 1–22. http://dx.doi.org/10.1155/2021/6677867.

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Software component plays a significant role in the functionality of software systems. Component of software is the existing and reusable parts of a software system that is formerly debugged, confirmed, and practiced. The use of such components in a newly developed software system can save effort, time, and many resources. Due to the practice of using components for new developments, security is one of the major concerns for researchers to tackle. Security of software components can save the software from the harm of illegal access and damages of its contents. Several existing approaches are available to solve the issues of security of components from different perspectives in general while security evaluation is specific. A detailed report of the existing approaches and techniques used for security purposes is needed for the researchers to know about the approaches. In order to tackle this issue, the current research presents a systematic literature review (SLR) of the present approaches used for assessing the security of software components in the literature by practitioners to protect software systems for the Internet of Things (IoT). The study searches the literature in the popular and well-known libraries, filters the relevant literature, organizes the filter papers, and extracts derivations from the selected studies based on different perspectives. The proposed study will benefit practitioners and researchers in support of the report and devise novel algorithms, techniques, and solutions for effective evaluation of the security of software components.
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Palak, Palak, Preeti Gulia, and Nasib Singh Gill. "Hybrid swarm intelligence-based software testing techniques for improving quality of component based software." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1716. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1716-1722.

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Being a time-consuming and costly activity, software testing always demands optimization and automation. Software testing is an important activity to achieve quality and customer satisfaction. This paper presents a comparative evaluation of different hybrid automated software testing techniques using the concepts of soft computing for overall quality enhancement. A comparison between three hybrid automation techniques is carried out i.e., hybrid ant colony optimization-genetic algorithms (ACO-GA), hybrid artificial bee colony (ABC)-Naïve Bayes, hybrid ABC-GA along with three parent approaches. The comparison is made by applying these hybrid techniques for the selection of minimized test suites thus reducing overall testing effort and eliminating useless or redundant test cases. The experimental results prove the efficiency of these hybrid approaches in different scenarios. The impact of automated testing techniques for quality enhancement is assessed in terms of defect density and defect detection percentage.
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Belyavtsev, Ivan, and Sergey Starkov. "Reactivity margin evaluation software for WWR-c reactor." Nuclear Energy and Technology 4, no. 3 (December 7, 2018): 197–201. http://dx.doi.org/10.3897/nucet.4.31862.

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The WWR-c reactor reactivity margin can be calculated using a precision reactor model. The precision model based on the Monte Carlo method (Kolesov et al. 2011) is not well suited for operational calculations. The article describes the work on creating a software package for preliminary evaluations of the WWR-c reactor reactivity margin. The research has confirmed the possibility of using an artificial neural network to approximate the reactivity margin based on the reactor core condition. Computational experiments were conducted on training the artificial neural network using the precision model data and real reactor measured data. According to the results of the computational experiments, the maximum relative approximation error ∆k/k for fuel burnup was 3.13 and 3.56%, respectively. The mean computation time was 100 ms. The computational experiments showed it possible to construct the artificial neural network architecture. This architecture became the basis for building a software package for evaluating the WWR-c reactor reactivity margin – REST API based web-application – which has a convenient user interface for entering the core configuration. It is also possible to replenish the training sample with new measurements and train the artificial neuron network once again. The reactivity margin evaluation software is ready to be tested by the WWR-c reactor personnel and to be used as a component of the automated reactor refueling system. With minor modifications, the software package can be used for reactors of other types.
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Magableh, Basel, and Stephen Barrett. "Productivity Evaluation of Self-Adaptive Software Model Driven Architecture." International Journal of Information Technology and Web Engineering 6, no. 4 (October 2011): 1–19. http://dx.doi.org/10.4018/jitwe.2011100101.

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Anticipating context changes using a model-based approach requires a formal procedure for analysing and modelling context-dependent functionality and stable description of the architecture which supports dynamic decision-making and architecture evolution. This article demonstrates the capabilities of the context-oriented component-based application-model-driven architecture (COCA-MDA) to support the development of self-adaptive applications; the authors describe a state-of-the-art case study and evaluate the development effort involved in adopting the COCA-MDA in constructing the application. An intensive analysis of the application requirements simplified the process of modelling the application’s behavioural model; therefore, instead of modelling several variation models, the developers modelled an extra-functionality model. COCA-MDA reduces the development effort because it maintains a clear separation of concerns and employs a decomposition mechanism to produce a context-oriented component model which decouples the applications’ core functionality from the context-dependent functionality. Estimating the MDA approach’s productivity can help the software developers select the best MDA-based methodology from the available solutions. Thus, counting the source line of code is not adequate for evaluating the development effort of the MDA-based methodology. Quantifying the maintenance adjustment factor of the new, adapted, and reused code is a better estimate of the development effort of the MDA approaches.
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ORMANDJIEVA, OLGA, MANAR ABU TALIB, and ALAIN ABRAN. "RELIABILITY MODEL FOR COMPONENT-BASED SYSTEMS IN COSMIC (A CASE STUDY)." International Journal of Software Engineering and Knowledge Engineering 18, no. 04 (June 2008): 515–39. http://dx.doi.org/10.1142/s0218194008003763.

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Software component technology has a substantial impact on modern IT evolution. The benefits of this technology, such as reusability, complexity management, time and effort reduction, and increased productivity, have been key drivers of its adoption by industry. One of the main issues in building component-based systems is the reliability of the composed functionality of the assembled components. This paper proposes a reliability assessment model based on the architectural configuration of a component-based system and the reliability of the individual components, which is usage- or testing-independent. The goal of this research is to improve the reliability assessment process for large software component-based systems over time, and to compare alternative component-based system design solutions prior to implementation. The novelty of the proposed reliability assessment model lies in the evaluation of the component reliability from its behavior specifications, and of the system reliability from its topology; the reliability assessment is performed in the context of the implementation-independent ISO/IEC 19761:2003 International Standard on the COSMIC method chosen to provide the component's behavior specifications. In essence, each component of the system is modeled by a discrete time Markov chain behavior based on its behavior specifications with extended-state machines. Then, a probabilistic analysis by means of Markov chains is performed to analyze any uncertainty in the component's behavior. Our hypothesis states that the less uncertainty there is in the component's behavior, the greater the reliability of the component. The system reliability assessment is derived from a typical component-based system architecture with composite reliability structures, which may include the composition of the serial reliability structures, the parallel reliability structures and the p-out-of-n reliability structures. The approach of assessing component-based system reliability in the COSMIC context is illustrated with the railroad crossing case study.
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Upadhyay, N., B. M. Deshpande, and V. P. Agrawal. "Concurrent usability evaluation and design of software component: a digraph and matrix approach." IET Software 5, no. 2 (2011): 188. http://dx.doi.org/10.1049/iet-sen.2010.0049.

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Lye, S. W., S. G. Lee, and M. K. Khoo. "ECoDE - An Environmental Component Design Evaluation Tool." Engineering with Computers 18, no. 1 (April 29, 2002): 14–23. http://dx.doi.org/10.1007/s003660200001.

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Konno, Kenta, Shigeo Hagiwara, Junichi Nakamura, Yuya Kawarai, Sumihisa Orita, Yawara Eguchi, and Seiji Ohtori. "Interobserver and Intraobserver Reliabilities of Three-Dimensional Postoperative Evaluation Software in Total Hip Arthroplasty." Advances in Orthopedics 2021 (September 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/3705789.

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Background. In primary and revision total hip arthroplasty, to prevent perioperative complications, the prediction of the optimal implant size is essential. Using three-dimensional computed tomography-based postoperative evaluation software, we explored the accuracy and the precision of measurement of the size, alignment, and position of the prosthetic components after total hip arthroplasty. Methods. Using postoperative evaluation software, the postoperative computed tomography data from 20 hips in 20 patients were evaluated. The component size, alignment, and three-dimensional positioning of the cup and stem were assessed. The concordance rates of the component, repeatability (intraobserver reliability), and reproducibility (interobserver reliability) of postoperative evaluation were calculated. The radiographic inclination and radiographic anteversion of the cup, anteversion, varus–valgus angle, and flexion–extension angles of the stem were measured for alignment. The implant positioning was measured along three axes, namely, X-axis (transverse), Y-axis (sagittal), and Z-axis (longitudinal). Results. The concordance rates of all parts are above 94%. The intraobserver and interobserver intraclass correlation coefficients of alignment measurement were very good for both cup (0.879–0.964) and stem (0.973–0.996). The intraobserver and interobserver intraclass correlation coefficients of cup positioning were very good (0.961–0.987) for all axes. The intraobserver and interobserver intraclass correlation coefficients of implant positioning were very good for the stem (0.879–0.995) for all axes. Conclusions. Computed tomography-based postoperative evaluation software was able to evaluate the size and position of total hip implants with high reproducibility.
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Jessurun, Nathan, Olivia Paradis, Alexandra Roberts, and Navid Asadizanjani. "Component Detection and Evaluation Framework (CDEF): A Semantic Annotation Tool." Microscopy and Microanalysis 26, S2 (July 30, 2020): 1470–74. http://dx.doi.org/10.1017/s1431927620018243.

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AbstractImage labeling is the process of manually assigning a class to subregions within an image for machine learning applications. When these subregions are complex shapes, this process is known as semantic segmentation. We propose a new software application, the Component Detection and Evaluation Framework (CDEF), for creating such semantic labels. The benefits of CDEF over existing tools are highlighted, and further improvements are proposed.
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Pardo, Sofia, Steve Howard, and Frank Vetere. "Child-Centered Evaluation: Broadening the Child/Designer Dyad." Advances in Human-Computer Interaction 2008 (2008): 1–9. http://dx.doi.org/10.1155/2008/597629.

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Some settings challenge a literal interpretation of user-centered design orthodoxy; that design is best donefora user, by designingwiththat user. We explore the value that a copresent proxy and interpreter can bring to certainhard-to-reachordifficult-to-interpretsituations; in this case the evaluation of educational software intendedto be usedby children. We discuss the effect that introducing a teacher had on the results of the evaluation and conclude that adding an expert-based component to evaluations increased its diagnostic power.
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Held, Esther, Simone Schuster, and Jens Gibmeier. "Incremental Hole-Drilling Method Vs. Thin Components: A Simple Correction Approach." Advanced Materials Research 996 (August 2014): 283–88. http://dx.doi.org/10.4028/www.scientific.net/amr.996.283.

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The incremental hole-drilling method is a widely used technique to determine residual stress depth profiles in technical components. Its application is limited in respect to the components geometry, for instance the components thickness. In this paper, a direct correction of the measured strain relaxations is proposed to consider the impact of deviant geometries, here the component thickness, on the residual stress evaluation that moreover, allows the application of commercially available evaluation software. The herein proposed approach is based on finite element simulation of the incremental hole drilling. The simulated strain relaxations for thin metal sheets are evaluated with an algorithm as used in commercially available evaluation software (i) for uncorrected data as well as (ii) for strain data corrected by the proposed correction procedure. It is shown that the correction approach leads to a significant improvement of the measurement accuracy. Further, by means of the approach residual stress depth profiles in thin metal sheets can be as usual determined using commercial evaluation software for the incremental hole-drilling method regardless of the algorithm used, i.e. differential or integral.
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Khemakhem, Sofien, Khalil Drira, Emna Khemakhem, and Mohamed Jmaiel. "An experimental evaluation of SEC+, an enhanced search engine for component-based software development." ACM SIGSOFT Software Engineering Notes 33, no. 4 (July 2008): 1–3. http://dx.doi.org/10.1145/1384139.1384143.

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Khemakhem, Sofien, Khalil Drira, Emna Khemakhem, and Mohamed Jmaiel. "An experimental evaluation of SEC+, an enhanced search engine for component-based software development." ACM SIGSOFT Software Engineering Notes 33, no. 3 (May 2008): 1–3. http://dx.doi.org/10.1145/1360602.1360610.

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KRISHNA MOHAN, K., A. K. VERMA, A. SRIVIDYA, and LJUBISA PAPIC. "INTEGRATION OF BLACK-BOX AND WHITE-BOX MODELING APPROACHES FOR SOFTWARE RELIABILITY ESTIMATION." International Journal of Reliability, Quality and Safety Engineering 17, no. 03 (June 2010): 261–73. http://dx.doi.org/10.1142/s0218539310003792.

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Quality of a software product should be tracked during the software lifecycle right from the architectural phase to its operational phase. Heterogeneous systems consist of several globally distributed components, thus rendering their reliability evaluation more complex with respect to the conventional methods. The objective of our work is to expand the evaluation process for effective reliability analysis by using both white box and black box approaches at prototype and at module/component level before the actual development. In this paper the, Black box testing is based on non-functional requirements for early quantitative analysis for the reliability estimation of the application development based on the output results of the prototype development. White box testing is based on inter-component interactions which deal with probabilistic software behavior. It uses an internal perspective of the system to design test cases based on internal structure at requirements and design phases. This paper has been applied for evolution of effective reliability quantification analysis at prototype level of a financial application case study with both non functional test data of software Development Life cycle (SDLC) phases captured from defect consolidation table in the form orthogonal defect classification as well functional requirements at requirement and design phases captured through software architectural modeling paradigms.
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37

Kaur, Jagmeet, and Dr Dheerendra Singh. "Implementing Clustering Based Approach for Evaluation of Success of Software Reuse using K-means algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 3 (April 30, 2013): 807–12. http://dx.doi.org/10.24297/ijct.v4i3.4199.

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A great deal of research over the past several years has been devoted to the development of methodologies to create reusable software components and component libraries. But the issue of how to find the contribution of the factor towards the successfulness of the reuse program is still in the naïve stage and very less work is done on the modeling of the success of the reuse. The success and failure factors are the key factors that predict the successful reuse of software. An algorithm has been proposed in which the inputs can be given to K-Means Clustering system in form of tuned values of the Data Factors and the developed model shows the high precision results , which describe the success of software reuse.
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38

Farjaminejad, Fakhraddin, Ali Harounabadi, and Sayed Javad Mirabedini. "Modeling and Evaluation of Performance and Reliability of Component-based Software Systems using Formal Models." International Journal of Computer Applications Technology and Research 3, no. 1 (January 10, 2014): 73–78. http://dx.doi.org/10.7753/ijcatr0301.1016.

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39

Wensch, Jörg, Monika Wensch-Dorendorf, and Hermann H. Swalve. "The evaluation of variance component estimation software: generating benchmark problems by exact and approximate methods." Computational Statistics 28, no. 4 (October 21, 2012): 1725–48. http://dx.doi.org/10.1007/s00180-012-0376-3.

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40

Gusev, Alexander, Dmitry Ilin, and Evgeny Nikulchev. "The Dataset of the Experimental Evaluation of Software Components for Application Design Selection Directed by the Artificial Bee Colony Algorithm." Data 5, no. 3 (July 8, 2020): 59. http://dx.doi.org/10.3390/data5030059.

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The paper presents the swarm intelligence approach to the selection of a set of software components based on computational experiments simulating the desired operating conditions of the software system being developed. A mathematical model is constructed, aimed at the effective selection of components from the available alternative options using the artificial bee colony algorithm. The model and process of component selection are introduced and applied to the case of selecting Node.js components for the development of a digital platform. The aim of the development of the platform is to facilitate countrywide simultaneous online psychological surveys in schools in the conditions of unstable internet connection and the large variety of desktop and mobile client devices, running different operating systems and browsers. The module whose development is considered in the paper should provide functionality for the archiving and checksum verification of the survey forms and graphical data. With the swarm intelligence approach proposed in the paper, the effective set of components was identified through a directional search based on fuzzy assessment of the three experimental quality indicators. To simulate the desired operating conditions and to guarantee the reproducibility of the experiments, the virtual infrastructure was configured. The application of swarm intelligence led to reproducible results for component selection after 312 experiments instead of the 1080 experiments needed by the exhaustive search algorithm. The suggested approach can be widely used for the effective selection of software components for distributed systems operating in the given conditions at this stage of their development.
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41

Wu, Hui, and Xiao-min Gu. "Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability." Scientific Programming 2020 (September 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/8834901.

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This article mainly evaluates the regional innovation service capacity through the TOPSIS method. Firstly, a regional collaborative innovation network is constructed and the Yangtze River Delta region is selected for analysis. Secondly, an evaluation index is constructed for innovation service capability, fuzzy principal component analysis is used to refine quantitative and qualitative index data of innovation service capability, and the index weight is calculated. Then the region of the Yangtze River Delta is selected and TOPSIS method is used to assist in the effective decision-making process of the evaluation of innovative service capabilities. Due to the large amount of data in this article, MATLAB programming is used. Finally, through the comparative analysis of the results, countermeasures and suggestions are put forward from the perspective of the improvement of collaborative innovation service capabilities.
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42

Hauser, Dominic P., and Olivier L. de Weck. "Flexibility in component manufacturing systems: evaluation framework and case study." Journal of Intelligent Manufacturing 18, no. 3 (June 2007): 421–32. http://dx.doi.org/10.1007/s10845-007-0033-9.

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43

Li, Liming, Jing Zhao, Chunrong Wang, and Chaojie Yan. "Comprehensive evaluation of robotic global performance based on modified principal component analysis." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988141989688. http://dx.doi.org/10.1177/1729881419896881.

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The multivariate statistical method such as principal component analysis based on linear dimension reduction and kernel principal component analysis based on nonlinear dimension reduction as the modified principal component analysis method are commonly used. Because of the diversity and correlation of robotic global performance indexes, the two multivariate statistical methods principal component analysis and kernel principal component analysis methods can be used, respectively, to comprehensively evaluate the global performance of PUMA560 robot with different dimensions. When using the kernel principal component analysis method, the kernel function and parameters directly have an effect on the result of comprehensive performance evaluation. Because kernel principal component analysis with polynomial kernel function is time-consuming and inefficient, a new kernel function based on similarity degree is proposed for the big sample data. The new kernel function is proved according to Mercer’s theorem. By comparing different dimension reduction effects of principal component analysis method, the kernel principal component analysis method with polynomial kernel function, and the kernel principal component analysis method with the new kernel function, the kernel principal component analysis method with the new kernel function could deal more effectively with the nonlinear relationship among indexes, and its calculation result is more reasonable for containing more comprehensive information. The simulation shows that the kernel principal component analysis method with the new kernel function has the advantage of low time consuming, good real-time performance, and good ability of generalization.
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44

Lorsolo, Sylvie, John Gamache, and Altug Aksoy. "Evaluation of the Hurricane Research Division Doppler Radar Analysis Software Using Synthetic Data." Journal of Atmospheric and Oceanic Technology 30, no. 6 (June 1, 2013): 1055–71. http://dx.doi.org/10.1175/jtech-d-12-00161.1.

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Abstract The Hurricane Research Division Doppler radar analysis software provides three-dimensional analyses of the three wind components in tropical cyclones. Although this software has been used for over a decade, there has never been a complete and in-depth evaluation of the resulting analyses. The goal here is to provide an evaluation that will permit the best use of the analyses, but also to improve the software. To evaluate the software, analyses are produced from simulated radar data acquired from an output of a Hurricane Weather Research and Forecasting (HWRF) model nature run and are compared against the model “truth” wind fields. Comparisons of the three components of the wind show that the software provides analyses of good quality. The tangential wind is best retrieved, exhibiting an overall small mean error of 0.5 m s−1 at most levels and a root-mean-square error less than 2 m s−1. The retrieval of the radial wind is also quite accurate, exhibiting comparable errors, although the accuracy of the tangential wind is generally better. Some degradation of the retrieval quality is observed at higher altitude, mainly due to sparser distribution of data in the model. The vertical component of the wind appears to be the most challenging to retrieve, but the software still provides acceptable results. The tropical cyclone mean azimuthal structure and wavenumber structure are found to be very well captured. Sources of errors inherent to airborne Doppler measurements and the effects of some of the simplifications used in the simulation methodology are also discussed.
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45

Grémy, François. "Hardware, Software, Peopleware, Subjectivity." Methods of Information in Medicine 44, no. 03 (2005): 352–58. http://dx.doi.org/10.1055/s-0038-1633977.

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Summary Objective: This paper develops the closing address the author was asked to deliver at the MEDINFO 2004 Congress in San Francisco. Method: Starting from three working conferences, dealing with evaluation of health information systems, where he was involved, the author describes the evolution of his personal ideas. Results and Conclusions: First he proposes the main distinction between systems where the user(s) remain(s) external from the running program, from the ones where the user(s) interacting with the program become(s) the main component of the system.In the first case, the methods of evaluation are the conventional methods used in Medical Technology Assessment. In the second case, the whole knowledge in anthropology (considered in its broadest meaning), may contribute strongly to evaluation.It becomes clear that the subjectivity of the user(s), how he (or they) react(s) with the computing machinery, is a main key to the success or failure of the whole system.As the eradication of subjectivity is often considered, since the beginning of “modern times”, as a condition for progress, the author claims that such a temptation is deleterious for our civilization threatened by a comeback of barbarity, and is scientifically wrong.For that demonstration, he calls on both philosophical concepts (from Aristotle to E. Husserl, M. Henry and J. Searle), and the most recent advances of neurosciences.
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AlShemmary, Ebtesam Najim, and Bahaa Qasim Al-Musawi. "Low Cost VoIP Architecture Using Open Source Software Component in Tertiary Institutions." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 1 (August 1, 2012): 11–14. http://dx.doi.org/10.24297/ijct.v3i1a.2721.

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Governments and their agencies are often challenged by high cost and flexible telephonic, Web based data services. Emerging technologies, such as those of Voice over Internet Protocol (VoIP) that allow convergent systems where voice and Web technologies can utilize the same network to provide both services, can be used to improve such services. This paper describe VoIP system for the enterprise network (e.g. company, university) that have been developed based on Asterisk which is a kind of open source software to implement IP-PBX system. Through the development and evaluation, we have confirmed that VoIP system based on Asterisk is very powerful as a whole and most PBX functions to be required for the enterprise network can be realized. Interesting findings include that the University of Kufa has a potential to implement the project. By connecting multiple Asterisk servers located in different sites based on IAX2, large scale enterprise network can be developed. Since the software recommended for installation is open source, the project could be used as a source of valuable information by students who specialize in real-time multi-media systems.
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47

Conboy, Arlene, Charles Auerbach, Aaron Beckerman, David Schnall, and Heidi Heft LaPorte. "MSW Student Satisfaction With Using Single-System-Design Computer Software to Evaluate Social Work Practice." Research on Social Work Practice 10, no. 1 (January 1, 2000): 127–38. http://dx.doi.org/10.1177/15527581-00010001-11.

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Objective: A computer program for social work practice research was created and then tested. This program was designed specifically for computer tasks of data entry, data analysis, and graphic presentations of single-system-design research in social work practice. Method: An evaluation of this program was conducted with 136 students at one master's of social work (MSW) program in the spring of 1996. Results: More than 95% of the students surveyed found the program added a valuable component to research, and 81.9% reported the program helpful in evaluating practice. Conclusions: Computer software programs that are research design specific may encourage more social workers to do practice evaluation studies, but further development and testing of these types of specialized programs is called for.
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48

Uma, S., and P. Sakthivel. "Hardware Evaluation and Software Framework Construction for Performance Measurement of Embedded Processor." Journal of Computational and Theoretical Nanoscience 15, no. 2 (February 1, 2018): 586–94. http://dx.doi.org/10.1166/jctn.2018.7126.

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A frame work for analysing the capabilities and area of improvements for working of an embedded processor is constructed, and also a methodology for comparative study of simulation of processor on load and hardware results are explained in this paper. The processor can be modelled as a standalone processor or as a group of processors working together to take parallel program execution mode. The proposed frame work and simulation method uses the processor representation of current embedded processor model which is relevant in product design and devices modelling. This system utilizes the ARM processor model which consists of programs used for computing and standardizing the operational quality of a processor for any particular domain of applications. This paper presents steps for creating experimental framework which uses a simulation system running on a Linux based operating system along with kernel for running test applications on the target which is run in simulation mode. To evaluate the simulation with respect to the real hardware, this paper has made an observation of cache related performance of a typical embedded processor. The processor which is taken for the study is ARM926EJ-S processor. The future architectural components will be designed and simulated in the framework as continuation of this experiment. Their ARM9 technology equivalent design parameters for configurable modules of CPU in 1.8 micro-meter and experimental nano-meter level implementation would be calculated with architecture component design tools.
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Liu, Yi. "Evaluation Study on the Network Impact Index of WeChat Based on Principal Component Analysis." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 7676–79. http://dx.doi.org/10.1166/jctn.2016.6085.

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WeChat software is an important social tool in modern society. This paper discusses the network impact of WeChat from ten aspects including WeChat popularity, attention, video observability, network reputation, function usability, dissemination speed of information, transmission ratio of positive energy and impact of WeChat on network economy, politics and culture, and questionnaires on these ten influence factors are distributed to college students for investigation. Principal component analysis is used to deal with the survey results, the principal components of the ten factors are extracted, and the results show that WeChat popularity, attention, video observability, network reputation and function usability are the main components, in which WeChat popularity, attention and video observability are the factors having the greatest impact on the calculation. And this paper presents the function relationship between the main principal components of WeChat network impact index and these ten influence factors, to evaluate the network impact index of WeChat.
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Stanojević, Dragana, Zoran Stanković, and Jelena Maksimović. "ELECTRONIC EVALUATION IN TEACHING CLASS: ASSESSMENT VALUE OF EDUCATIONAL SOFTWARE." Facta Universitatis, Series: Teaching, Learning and Teacher Education 1, no. 2 (February 27, 2018): 185. http://dx.doi.org/10.22190/futlte1702185s.

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As a result of the expansion of informatics era, in the last decade is a noticeable focus on the development and application of ICT in education, which, thanks to its rapid development marks the era of electronic education. The goal of electronic education is actually a modernization of the teaching process, which will enable teachers the reduction of teaching duties, simplify preparation and teaching and testing students' knowledge, which with the electronic platform is becoming an important component of a multimedia approach to teaching. The main objective of this work is to draw attention to the general pedagogical expert and scientific public and to point to a wider range of options provided by this type of evaluation in the educational process, and it is already at the level of teaching classroom. In this sense, in the paper, in addition to theoretical considerations are presented and acquired experience from practice, resulting from implementation assessments potential of created educational software, as well as the experience of using modern educational technology.
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