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Journal articles on the topic 'Performance measurement software'

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1

Ben Hadj Salem Mhamdia, Amel. "Performance measurement practices in software ecosystem." International Journal of Productivity and Performance Management 62, no. 5 (July 22, 2013): 514–33. http://dx.doi.org/10.1108/ijppm-09-2012-0097.

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Patel, Charmy, and Dr Ravi Gulati. "Software Performance Testing Measures." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 8, no. 2 (January 31, 2014): 1297–300. http://dx.doi.org/10.24297/ijmit.v8i2.681.

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Software developers typically measure a Web application's quality of service in terms of webpage availability, response time, and throughput. Performance testing and evaluation of software components becomes a critical task. Poor quality of software performance can lead to bad opportunities. Few research papers address the issues and systematic solutions to performance testing and measurement for modern components of software. This paper proposes a solution and environment to support performance measurement for software. The objective is to provide all kind of important measures which must be tested at the coding phase instead of after completion of software. So developers can make software that can meet performance objectives.
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Al-Heyasi, Aref. "INDIVIDUALS PERFORMANCE MEASUREMENT IN AGILE SOFTWARE DEVELOPMENT." Eurasian Journal of Social Sciences 6, no. 1 (2018): 1–6. http://dx.doi.org/10.15604/ejss.2018.06.01.001.

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4

Batocchio, Antonio, and Shahrukh Adi Irani. "Design of manufacturing cells: strategy, software and performance measurement." Gestão & Produção 3, no. 3 (December 1996): 248–61. http://dx.doi.org/10.1590/s0104-530x1996000300002.

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This paper deals with design of manufacturing cells and addresses the following issues: a) strategy and its importance in the context of manufacturing cells; b) use of STORM software for the design of manufacturing cells; c) discuss parameters related to performance measurements and propose some indexes for their measurement. Finally, it presents comments and results of the application of manufacturing cells in American industry.
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Vetland, Vidar, Peter Hughes, and Arne Sølvberg. "A composite modelling approach to software performance measurement." ACM SIGMETRICS Performance Evaluation Review 21, no. 1 (June 1993): 275–76. http://dx.doi.org/10.1145/166962.167040.

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6

Venturini, Wander Trindade, and Óscar González Benito. "CRM software success: a proposed performance measurement scale." Journal of Knowledge Management 19, no. 4 (July 13, 2015): 856–75. http://dx.doi.org/10.1108/jkm-10-2014-0401.

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Purpose – This article aims to seek to provide a performance measurement scale for customer relationship management (CRM) software. The CRM concept is wide, yet prior literature offers only specific approaches. This scale goes beyond specific scenarios, to cover the various perspectives on CRM and provide quantitative validation of the measures. Design/methodology/approach – This paper describes the complete process for conceptualizing and operationalizing this reflective second-order construct, including a thorough literature review, qualitative research and a quantitative study with 208 companies that have implemented CRM software. Findings – Three main, interconnected constructs emerge to measure CRM software performance: customer life cycle, firm performance and operational performance. Retention, loyalty and satisfaction indicators form the customer life-cycle dimension. Firm performance refers to market share, efficiency, product adaptation, and new product launch indicators. The operational dimension includes improvement in sales performance, marketing campaigns, customer service and analysis of customer information. Research limitations/implications – This scale guides every element involved in CRM software implementation, toward a common objective. Practical implications – The CRM scale supports CRM software industry players and firms that intend to implement CRM software. The three model constructs provide guidelines about which improvements should be noted with a CRM implementation. Social implications – This scale help the companies who intend to implement CRM software conduct their agreement with the other parts involved (consultants, software developers and the firm). Originality/value – This paper meets an identified need, namely, to provide a CRM software performance measurement scale. The huge, unique sample is exclusive and obtained from a dedicated CRM software developer.
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Kiviharju, Kristiina, Kalle Salonen, Ulla Moilanen, and Tero Eerikäinen. "Biomass measurement online: the performance of in situ measurements and software sensors." Journal of Industrial Microbiology & Biotechnology 35, no. 7 (April 8, 2008): 657–65. http://dx.doi.org/10.1007/s10295-008-0346-5.

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M Oka, I. G. A. A., C. I. Cahyadi, and M. W. Sitopu. "Comparison analysis performance microstrip antennas for software and measurement." IOP Conference Series: Earth and Environmental Science 700, no. 1 (March 1, 2021): 012019. http://dx.doi.org/10.1088/1755-1315/700/1/012019.

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9

Mead, Nancy R., Dan Shoemaker, and Carol Woody. "Principles and Measurement Models for Software Assurance." International Journal of Secure Software Engineering 4, no. 1 (January 2013): 1–10. http://dx.doi.org/10.4018/jsse.2013010101.

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Ensuring and sustaining software product integrity requires that all project stakeholders share a common understanding of the status of the product throughout the development and sustainment processes. Accurately measuring the product’s status helps achieve this shared understanding. This paper presents an effective measurement model organized by seven principles that capture the fundamental managerial and technical concerns of development and sustainment. These principles guided the development of the measures presented in the paper. Data from the quantitative measures help organizational stakeholders make decisions about the performance of their overall software assurance processes. Complementary risk-based data help them make decisions relative to the assessment of risk. The quantitative and risk-based measures form a comprehensive model to assess program and organizational performance. An organization using this model will be able to assess its performance to ensure secure and trustworthy products.
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CEDERGREN, STEFAN, CHRISTER NORSTRÖM, and ANDERS WALL. "PMEX — A PERFORMANCE MEASUREMENT EVALUATION MATRIX FOR THE DEVELOPMENT OF INDUSTRIAL SOFTWARE-INTENSIVE PRODUCTS." International Journal of Innovation and Technology Management 08, no. 01 (March 2011): 55–76. http://dx.doi.org/10.1142/s0219877011002222.

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The ability to measure performance is both fundamental to and critical in successful product development. Previous research has focused on adding new measurements, not on evaluating those currently used. The performance measurement evaluation matrix (PMEX) is a tool to evaluate the performance-measurement system based on success factors in the development of software-intensive products. Three case studies have been conducted to test the PMEX and the results indicate that the PMEX enables managers to determine explicitly what is and what is not measured. Time, cost, and quality seem to be the focus of the performance measurements while technology and planning activities are absent.
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Siegmund, Norbert, Alexander von Rhein, and Sven Apel. "Family-based performance measurement." ACM SIGPLAN Notices 49, no. 3 (March 5, 2014): 95–104. http://dx.doi.org/10.1145/2637365.2517209.

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Ilg, Markus, and Alexander Baumeister. "Performance Management in Software Engineering." International Journal of Information Technology Project Management 2, no. 1 (January 2011): 1–18. http://dx.doi.org/10.4018/jitpm.2011010101.

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Performance measurement in software engineering has to meet a multiplicity of challenges. Oftentimes, traditional metrics focus on sequential development instead of using incremental and iterative development. Output is measured on a pure quantitative (e.g., SLOC), quality-disregarding basis. A project’s input is hard to assign properly using enterprise-unspecific forecasting tools which have to be calibrated at first and which do not account for time preferences. Requirements necessary for behaviourally adjusted project management and control are rarely discussed. Focusing on these shortcomings, this paper proposes an enterprise-specific approach which combines lifecycle and activity based costing techniques for software development following the incremental and iterative Unified Process model. Key advantages are calibration effort can be avoided, project management decisions are supported by a clear managerial accounting emphasis, precise milestone-depending cost objectives can be determined as the basis for personnel management and control of development teams, and cost and time variance analysis can be supported in a sophisticated way.
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13

Na, Kwan-Sik, James T. Simpson, Xiaotong Li, Tushar Singh, and Ki-Yoon Kim. "Software development risk and project performance measurement: Evidence in Korea." Journal of Systems and Software 80, no. 4 (April 2007): 596–605. http://dx.doi.org/10.1016/j.jss.2006.06.018.

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Behera, Ajay Kumar, Narayan C. Nayak, and Harish C. Das. "Performance Measurement in Banking & Software Firm: An Empirical Research." Global Journal of Flexible Systems Management 16, no. 1 (October 15, 2014): 3–18. http://dx.doi.org/10.1007/s40171-014-0083-8.

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15

Liu, Lei, Yongjian Ren, Lizhen Cui, Yuliang Shi, and Qingzhong Li. "Performance measurement of data flow processing employing software defined architecture." Future Generation Computer Systems 82 (May 2018): 235–43. http://dx.doi.org/10.1016/j.future.2017.12.050.

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Liu, Fang, Jing Cao, Jun Guo, and Bin Zhang. "Research the Measurement Method of Software Aging in Cloud." Applied Mechanics and Materials 392 (September 2013): 779–82. http://dx.doi.org/10.4028/www.scientific.net/amm.392.779.

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Although SaaS is a new application model, the phenomenon of software aging still exists, which will cause service performance decline ceaselessly, even worse, service failure. In order to ensure SaaS performance, we need to estimate the degree of software aging accurately, so as to provide a basis to the resource allocation strategy. In this paper we describe the process of calculating software aging degree, and build a performance metrics system according to gray correlation degree analysis, then calculate SaaS software aging degree based on fuzzy evaluation. Finally, we verify the effectiveness of our measurement method of software aging in cloud by experiments.
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Watson, David, G. Robert Malan, and Farnam Jahanian. "An extensible probe architecture for network protocol performance measurement." Software: Practice and Experience 34, no. 1 (December 11, 2003): 47–67. http://dx.doi.org/10.1002/spe.557.

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18

Severgnini, Elizandra, Valter Afonso Vieira, and Edwin Vladimir Cardoza Galdamez. "The indirect effects of performance measurement system and organizational ambidexterity on performance." Business Process Management Journal 24, no. 5 (September 3, 2018): 1176–99. http://dx.doi.org/10.1108/bpmj-06-2017-0159.

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Purpose Performance measurement systems (PMSs) have long been used for monitoring and improving administrative performance. In parallel, organizational ambidexterity refers to firms that manage different organizational functions and various demands to generate performance. The purpose of this paper is to propose that three dimensions of PMS increase organizational ambidexterity and consequently they influence organizational performance. In this framework, organizational ambidexterity mediates the relationships between three dimensions of PMS and organizational performance. Design/methodology/approach The data were collected through a structured questionnaire sent to Brazilian software companies. Owners, directors, project managers and responsible for company strategy answered the questionnaire. The final sample was 227 Brazilian software firms that answered according to their PMSs and organizational ambidexterity. Findings The results provide four main findings. First, the three dimensions of PMS, namely—attention focus, legitimization and strategic decision-making—influenced organizational ambidexterity. Second, organizational ambidexterity had a major effect on organizational performance. Third, organizational ambidexterity mediated the indirect effects of attention focus, legitimization and strategic decision-making on organizational performance. Fourth, exploration and exploitation—two dimensions of organizational ambidexterity—mediated the indirect effect of the abovementioned PMS dimensions on organizational performance. Research limitations/implications Although there are different dimensions of organizational ambidexterity, this paper is limited to two of the most used ones: exploitation and exploration. In addition, the results were limited to subjective—in contrast to objective—performance measures. Practical implications Software companies can use PMS for attention focus, legitimization of firm’s choices and strategic decision-making to increase their exploration and exploitation capabilities. Moreover, software companies can use strategic decision-making to control existing strategies and establish new strategies for legitimizing ambidextrous choices and thereby support their decision-making process. Originality/value The data showed that not only organizational ambidexterity mediates the effects of the three dimensions of PMS use on performance, but also exploration and exploitation.
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Vreuls, Donald, and Richard W. Obermayer. "Human-System Performance Measurement in Training Simulators." Human Factors: The Journal of the Human Factors and Ergonomics Society 27, no. 3 (June 1985): 241–50. http://dx.doi.org/10.1177/001872088502700302.

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Automated human-system performance measurement subsystems are being specified as a requirement in modern training simulators. Although hardware and software technology can support this requirement, there are many unanswered questions about the design of real-time automated measurement systems. Fundamental performance measurement problems and research issues are discussed.
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20

Sandu, Florin, Iuliu Szekely, Dan Robu, and Alexandru Balica. "Performance measurement for mobile data streaming." Computer Standards & Interfaces 32, no. 3 (March 2010): 73–85. http://dx.doi.org/10.1016/j.csi.2009.11.001.

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21

XU, Da-feng, Qing LI, Xin LIU, and Yu-liu CHEN. "Study on indicators selection of recycling enterprise process performance measurement software." Journal of Computer Applications 29, no. 1 (June 25, 2009): 265–68. http://dx.doi.org/10.3724/sp.j.1087.2009.00265.

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22

Eshraghian, Elham, and Vahid Rafe. "Performance measurement of models specified through component-based software architectural styles." Measurement 73 (September 2015): 372–83. http://dx.doi.org/10.1016/j.measurement.2015.05.037.

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23

Sureshchandar, G. S., and Rainer Leisten. "Holistic scorecard: strategic performance measurement and management in the software industry." Measuring Business Excellence 9, no. 2 (June 2005): 12–29. http://dx.doi.org/10.1108/13683040510602849.

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24

Vanalle, Rosangela Maria, GABRIEL LARA BAPTISTA, and JOSe ANTONIO ARANTES SALLES. "A Software Development Process Model Integrated to a Performance Measurement System." IEEE Latin America Transactions 13, no. 3 (March 2015): 739–45. http://dx.doi.org/10.1109/tla.2015.7069099.

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Behera, Ajay, Narayan Nayak, and Harish Das. "Performance measurement due to IT adoption." Business Process Management Journal 21, no. 4 (July 6, 2015): 888–907. http://dx.doi.org/10.1108/bpmj-07-2014-0068.

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Purpose – The purpose of this paper is to provide an analysis on the relationship between information technology (IT) adoption and its usage and firm performance (banking and software firm) in India. Firm performance was measured with the help of three important variables: efficiency, effectiveness and productivity. Each one of the above has been described with a set of pretested questionnaires. Banks in India, in particular are geared for comprehensive banking solutions with extensive branch networks. Result from statistical analysis was validated with that achieved from ANN modeling. Design/methodology/approach – Survey instrument was pilot tested. The pilot survey was administered to 20 randomly selected Indian service firms, whose Standard Industrial Classification codes were 6,021 (nationalized commercial Banks) and 7,371 (software firms). A 50 percent response rate was received. Internal reliability using Cronbach’s α was carried out for the entire set of responses from the pilot study. In addition, qualitative follow up from respondents was done. Unreliable items were deleted and modifications wherever necessary were made. Findings – The research finds two important results with respect to IT adoption and firm performance. The first result is that service firms who implemented IT tools and techniques early achieved more turnover thereby greater market share from innovation/adoption (world-first and, to some extent India-first). These firms are able to better commercialize their service even if their most important innovations/adoptions supported by vendor’s to some extent. The second result is that service firms, which introduce new services, even if the service is already on the national or international front, derived more commercial sales from innovation, thus achieving more firm performance. Therefore, late followers (firm-first) would have higher sales from innovation by introducing services with high original content. Originality/value – Performance is measured due to IT adoption.
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Yun, Yong Gang, Mei Chu, Guang Nan Guo, Hong Yan Shi, and Xiao Bo Huang. "A Kind of Improved GQM Measurement Model for Software Process." Advanced Materials Research 341-342 (September 2011): 550–54. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.550.

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Software quality measurement is closely connected with process and product. With measurement and analysis on software process data, improvement and control on software can be achieved. Effective process performance model plays key role in understanding and controlling. Introduction of GQM model into software measurement process can achieve controllability and testability of software process. GQM uses organization target as measurement index to achieve measurement of software process quantitative. The core idea of CMM/CMMI is to build fact-based management and CMM/CMMI software process management is built on the basis of software measurement. Combining with CMM/CMMI measurement idea, GQM model was expanded to achieve a kind of improved process performance model.
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Skotnicova, Iveta, Zdenek Galda, Petra Tymova, and Lenka Lausova. "Dynamic Simulation of the Energy Performance of the Timber-Frame Passive House." Advanced Materials Research 1020 (October 2014): 556–60. http://dx.doi.org/10.4028/www.scientific.net/amr.1020.556.

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The aim of this article is analysis of energy performance of the timber-frame passive house. The analysis is made on the base of numerical simulation, analytical calculation and experimental measurement. Numerical simulation is solved by the Design Builder software which can determine thermal losses, thermal loads of buildings and other parameters of indoor microclimate - mean radiant temperature, operating temperature and indoor relative humidity, the Predicted Mean Vote (PMV) index, the Predicted Percentage Dissatisfied (PPD) index, concentration CO2 (carbon dioxide). Analytical calculations are solved by the software Simulace. Boundary conditions of the exterior calculation are set with using standard values and the real hour meteorological values (from database of the software Design Builder for Ostrava town and from database of the real experimental measurement values). Experimental measurements of the indoor and exterior parameters (external and indoor air temperature) are realized at the passive timber-frame house of the Research and Innovation Centre of the Moravian-Silesian Wood Cluster in the area of the Faculty of Civil Engineering, VSB – Technical University of Ostrava. Results of theoretical analysis and experimental measurements are compared and evaluated.
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Peyrard, Fabrice. "Real-time performance evaluation of Bluetooth ARQ protocol." Journal of Communications Software and Systems 3, no. 4 (December 20, 2007): 248. http://dx.doi.org/10.24138/jcomss.v3i4.246.

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These research tasks present a measurement platform of Bluetooth asynchronous links in order to get the intrinsic time constraints of this network and communications protocols. These time measurements are necessary for the application we wish to implement for mobile robot control through Bluetooth link communication. We present the platform as well as the measurement protocol which we have carried out from real-time communicating operating systems. We have developed an application of radio and time data processing allowing a real-time evaluation of the global behavior of the communicating system.
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He, Qin Lu, Zhan Huai Li, Le Xiao Wang, Hui Feng Wang, and Jian Sun. "Performance Measurement Technique of Cloud Storage System." Advanced Materials Research 760-762 (September 2013): 1197–201. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1197.

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Researches on technologies about testing aggregate bandwidth of file systems in cloud storage systems. Through the memory file system, network file system, parallel file system theory analysis, according to the cloud storage system polymerization bandwidth and concept, developed to cloud storage environment file system polymerization bandwidth test software called FSPoly. In this paper, use FSpoly to luster file system testing, find reasonable test methods, and then evaluations latest development in cloud storage system file system performance by using FSPoly.
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Tokuno, Koichi, and Shigeru Yamada. "Markovian Availability Measurement and Assessement for Hardware-Software System." International Journal of Reliability, Quality and Safety Engineering 04, no. 03 (September 1997): 257–68. http://dx.doi.org/10.1142/s0218539397000187.

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It is important to take into account the trade-off between hardware and software systems when total computer-system reliability/performance are evaluated and assessed. We develop an availability model for a hardware-software system. The system treated here consists of one hardware subsystem and one software subsystem and it is assumed that the system is down and restored whenever a hardware or a software failure occurs. Especially, for the software subsystem, it is supposed that (i) the restoration actions are not always performed perfectly, (ii) the restoration times for later software failures become longer and (iii) reliability growth occurs in the perfect restoration action. The hardware and the software failure-occurrence phenomena are respectively described by constant and geometrically decreasing hazard rates. The time-dependent behavior of the system, which alternately repeats the operational state that a system is operating without failures and the restoration state that a system is inoperable and restored, is described by a Markov process. Useful expressions for several quantitative measures of system performance are derived from this model. Finally, numerical examples are presented for illustration of system availability measurement and assessment.
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Ramasubbu, Narayan, Anandhi Bharadwaj, and Giri Kumar Tayi. "Software Process Diversity: Conceptualization, Measurement, and Analysis of Impact on Project Performance." MIS Quarterly 39, no. 4 (April 4, 2015): 787–807. http://dx.doi.org/10.25300/misq/2015/39.4.3.

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32

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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González, M., D. Dopico, U. Lugrís, and J. Cuadrado. "A benchmarking system for MBS simulation software: Problem standardization and performance measurement." Multibody System Dynamics 16, no. 2 (August 19, 2006): 179–90. http://dx.doi.org/10.1007/s11044-006-9020-8.

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Hyeon Kim, Ki, Dongkyun Kim, Yong Hwan Kim, and Joobum Kim. "Performance measurement using dpdk in software-defined local and wide area networks." International Journal of Engineering & Technology 7, no. 2.12 (April 3, 2018): 119. http://dx.doi.org/10.14419/ijet.v7i2.12.11105.

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Background/Objectives: For data center-based enterprises, the use of data traffic continues to increase. As a result, the increasingly efficient processing of increasing data traffic is becoming a major issue. Effective processing of traffic can be performed through the addition of physical network equipment, but this requires considerable costs.Methods/Statistical analysis: To solve this problem, researches on server virtualization and network virtualization technology are being actively conducted. However, while network virtualization is a cost-effective solution, open-source virtual switches used in network virtualization technologies have the performance penalty because they handle packets at the kernel of server's operating system. As a result, the Intel has developed the Data Plane Development Kit (DPDK) technology to address the performance degradation of the operating system.Findings: In this paper, we propose the DPDK performance test environment based on Open Virtual Switch (OVS) to verify the stability and performance of the DPDK-oriented virtualization technology, in association with a new KREONET-S project which aims tothe softwarization of the Korea Research Environment Open Network (KREONET) infrastructure.Improvements/Applications: We perform conducted experiments on Software-Defined Local Area Network (LAN) and Wide Area Network (WAN) environment using KREONET-S show the result.
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Cacciapuoti, Sara, Giuseppe Di Leo, Matteo Ferro, Consolatina Liguori, Anna Masarà, Massimiliano Scalvenzi, Paolo Sommella, and Gabriella Fabbrocini. "A Measurement Software for Professional Training in Early Detection of Melanoma." Applied Sciences 10, no. 12 (June 24, 2020): 4351. http://dx.doi.org/10.3390/app10124351.

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Software systems have been long introduced as support to the early detection of melanoma through the automatic analysis of suspicious skin lesions. Nevertheless, their behavior is not yet similar to the performance exhibited by expert dermatologists in terms of diagnostic accuracy. Instead, a software system should be adopted by non-experienced dermatologists in order to improve the measurement and detection results for skin atypical patterns and the accuracy of the corresponding second opinion. This paper describes an image-based measurement and classification system able to score pigmented skin lesions according to the Seven-Point Check-list diagnostic method. Focus is devoted to the measurement procedure of biological structures more closely related to the atypical character of the nevus. Moreover, the performances of the measurement system are evaluated by considering the support to dermatologists with different experiences during the clinical activity.
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Wang, Xin, Henning Schulzrinne, Dilip Kandlur, and Dinesh Verma. "Measurement and analysis of LDAP performance." ACM SIGMETRICS Performance Evaluation Review 28, no. 1 (June 2000): 156–65. http://dx.doi.org/10.1145/345063.339412.

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Shang, Wenli, and Xiangyu Xing. "ICS Software Trust Measurement Method Based on Dynamic Length Trust Chain." Scientific Programming 2021 (April 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/6691696.

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Aiming at the real-time requirements for industrial control systems, we proposed a corresponding trust chain method for industrial control system application software and a component analysis method based on security sensitivity weights. A dynamic length trust chain structure is also proposed in this paper. Based on this, the industrial control system software integrity measurement method is constructed. Aimed at the validity of the model, a simulation attack experiment was performed, and the performance of the model was repeated from multiple perspectives to verify the performance of the method. Experiments show that this method can effectively meet the integrity measurement under the condition of high real-time performance, protect the integrity of files, and improve the software credibility of industrial control system.
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He, Zhen Ya, Jian Zhong Fu, and Xin Hua Yao. "Volumetric Error Modeling and Analysis for CNC Machine Tool Based on Multi-Body System." Key Engineering Materials 426-427 (January 2010): 441–46. http://dx.doi.org/10.4028/www.scientific.net/kem.426-427.441.

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With the development of the CNC precision machining and the ultra-precision machining, machine tools error issue has became the most active research topics and concerned by more and more experts. In this paper, a rapid simulation software platform based on multi-body system theory and Matlab software for measurement and analysis geometric errors of CNC machine tool is presented, which includes the generation of simulated measurement data, data processing, error separation and error compensation etc. To verify the feasibility of the developed software, the sequential step diagonal vector measurement method has been analyzed. The experimental results show that after error compensation the machine performance is improved by 39%. It demonstrates that the sequential step diagonal vector measurement method could significantly improve the machine accuracy and the developed software platform is reliable. This platform is not only effective for step diagonal vector measurement method, but also can be applied to other measurements. Therefore, the software platform provides a fast, reliable and objective tool for machine error measurement and analysis.
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Hoque, Mohammad A., Ashwin Rao, and Sasu Tarkoma. "Network and Application Performance Measurement Challenges on Android Devices." ACM SIGMETRICS Performance Evaluation Review 48, no. 3 (March 5, 2021): 6–11. http://dx.doi.org/10.1145/3453953.3453955.

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Modern mobile systems are optimized for energy-efficient computation and communications, and these optimizations affect the way they use the network, and thus the performance of the applications. Therefore, understanding network and application performance are essential for debugging, improving user experience, and performance comparison. In recent years, several tools have emerged that analyze network performance of mobile applications in situ with the help of the VPN service. However, there is a limited understanding of how these measurement tools and system optimizations affect the network and application performance. This paper first demonstrates that mobile systems employ energy-aware system hardware tuning, affecting network latency and throughput. We next show that the VPN-based tools, such as Lumen, PrivacyGuard, and Video Optimizer, aid in ambiguous network performance measurements and degrade the application performance. Our findings suggest that sound Internet traffic measurement on Android devices requires a good understanding of the device, networks, measurement tools, and applications.
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Min, Tianyang, Kentaro Saito, and Jun-ichi Takada. "DEVELOPMENT OF DIRECTIONALCHANNEL SOUNDER USING USRPAND GNU RADIO." ASEAN Engineering Journal 7, no. 1 (January 8, 2017): 69–79. http://dx.doi.org/10.11113/aej.v7.15488.

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MIMO channel sounding is essential for evaluating the MIMO transmission performance in real propagation environments. In this paper, we have developed a versatile channel sounder by using the GNU Radio and Universal Software Radio Peripheral (USRP) platform and the virtual antenna array method. The developed channel sounder is low cost and can be utilized flexibly for measurements in the UHF band. The performance of the developed channel sounder was validated through a T-junction cable connected test and an indoor channel measurement. The result showed that the performance quite agreed with the measurement of a VNA-based measurement system. The developed channel sounder is expected to be utilized for various kinds of propagation channel measurements.
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41

Halkos, George Emm, and Nickolaos G. Tzeremes. "Measuring biodiversity performance: A conditional efficiency measurement approach." Environmental Modelling & Software 25, no. 12 (December 2010): 1866–73. http://dx.doi.org/10.1016/j.envsoft.2010.04.014.

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Zhuang, Lei, Zhen Gao, Hao Wu, Chun Xin Yang, and Miao Zheng. "Research on DB2 Performance Testing Automation." Advanced Materials Research 756-759 (September 2013): 2204–8. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2204.

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Software testing play a significant role in modern software development and maintenance process, which is also an important means to ensure software reliability and improve software quality. With the continuous improvement of quality requirements of the software products and software engineering technology become more sophisticated, software testing has been participating into every phase of software lift cycle, become more and more important in software development and maintenance. DB2 Performance testing consists of four parts, which are environment setup, workload run, data measurement and environment clean up. Before all the operations are done manually and need about two hours continuous attention. Whats worse, even three times a day. This mechanical and complicated procedure is clearly unacceptable. This paper put forward a reusable automated testing framework based on IBM automated testing tools RFT to achieve the whole testing procedure automation. It reduces the count of human-computer interaction and greatly improves the efficiency of DB2 performance testing.
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Argunov, Dmitry, Boris Shiryaev, Alexey Bezruk, and Alexey Yushenko. "Design ICCreatech semiconductor wafer accounting and probe measurement automatization software." ITM Web of Conferences 30 (2019): 04009. http://dx.doi.org/10.1051/itmconf/20193004009.

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The different manufacturing processes automatization and creating a modern digital document transferring system is an important problem for enhancing factory performance. This paper presents the results of developing an automated information system for manufacturing monolithic integrated circuits. Server and client solutions have been developed supported features of electronic covering documents, making automated on-wafer electrical characteristics measurement, and measurement data analysis.
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Burghardt, Andrzej, Krzysztof Kurc, Dariusz Szybicki, Magdalena Muszyńska, and Jacek Nawrocki. "Robot-operated quality control station based on the UTT method." Open Engineering 7, no. 1 (March 23, 2017): 37–42. http://dx.doi.org/10.1515/eng-2017-0008.

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AbstractThis paper presents a robotic test stand for the ultrasonic transmission tomography (UTT) inspection of stator vane thickness. The article presents the method of the test stand design in Autodesk Robot Structural Analysis Professional 2013 software suite. The performance of the designed test stand solution was simulated in the RobotStudio software suite. The operating principle of the test stand measurement system is presented with a specific focus on the measurement strategy. The results of actual wall thickness measurements performed on stator vanes are presented.
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Buglione, Luigi, and Alain Abran. "QEST nD: n-dimensional extension and generalisation of a software performance measurement model." Advances in Engineering Software 33, no. 1 (January 2002): 1–7. http://dx.doi.org/10.1016/s0965-9978(01)00050-3.

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Hou Zhou-Guo, He Yi-Gang, Li Bing, She Kai, and Zhu Yan-Qing. "Measurement of the passive UHF RFID tag’s performance based on software-defined radio." Acta Physica Sinica 59, no. 8 (2010): 5606. http://dx.doi.org/10.7498/aps.59.5606.

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Ersoyak, Edibe Beste, and Sercan Ozcan. "A performance measurement system for R&D activities in the software sector." International Journal of Technology Intelligence and Planning 12, no. 3 (2019): 242. http://dx.doi.org/10.1504/ijtip.2019.099214.

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Ozcan, Sercan, and Edibe Beste Ersoyak. "A performance measurement system for R&D activities in the software sector." International Journal of Technology Intelligence and Planning 12, no. 3 (2019): 242. http://dx.doi.org/10.1504/ijtip.2019.10020665.

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Akcelik, Huseyin, Yilmaz Durna, Safak Saraydemir, and Hasan Kocer. "Measurement of a metamaterial antenna angular power reception performance utilizing Software Defined Radio." AEU - International Journal of Electronics and Communications 75 (May 2017): 91–97. http://dx.doi.org/10.1016/j.aeue.2017.03.013.

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Fiedler, Daniel, Kristen Walcott, Thomas Richardson, Gregory M. Kapfhammer, Ahmed Amer, and Panos K. Chrysanthis. "Towards the measurement of tuple space performance." ACM SIGMETRICS Performance Evaluation Review 33, no. 3 (December 2005): 51–62. http://dx.doi.org/10.1145/1111572.1111574.

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