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Journal articles on the topic 'Software Measurement Framework'

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Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Bush, Martin E., and Norman E. Fenton. "Software measurement: A conceptual framework." Journal of Systems and Software 12, no. 3 (July 1990): 223–31. http://dx.doi.org/10.1016/0164-1212(90)90043-l.

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2

Stockman, S. G., A. R. Todd, and G. A. Robinson. "A framework for software quality measurement." IEEE Journal on Selected Areas in Communications 8, no. 2 (1990): 224–33. http://dx.doi.org/10.1109/49.46876.

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3

Arpaia, Pasquale, Lucio Fiscarelli, and Giuseppe Commara. "Advanced User Interface Generation in the Software Framework for Magnetic Measurements at Cern." Metrology and Measurement Systems 17, no. 1 (January 1, 2010): 27–37. http://dx.doi.org/10.2478/v10178-010-0003-y.

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Advanced User Interface Generation in the Software Framework for Magnetic Measurements at CernA model-based approach, the Model-View-Interactor Paradigm, for automatic generation of user interfaces in software frameworks for measurement systems is proposed. The Model-View-Interactor Paradigm is focused on the "interaction" typical in a software framework for measurement applications: the final user interacts with the automatic measurement system executing a suitable high-level script previously written by a test engineer. According to the main design goal of frameworks, the proposed approach allows the user interfaces to be separated easily from the application logic for enhancing the flexibility and reusability of the software. As a practical case study, this approach has been applied to the flexible software framework for magnetic measurements at the European Organization for Nuclear research (CERN). In particular, experimental results about the scenario of permeability measurements are reported.

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4

Mora, B., F. Garcia, F. Ruiz, M. Piattini, A. Boronat, A. Gomez, J. A. Carsi, and I. Ramos. "Software generic measurement framework based on MDA." IEEE Latin America Transactions 6, no. 4 (August 2008): 363–70. http://dx.doi.org/10.1109/tla.2008.4815290.

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5

Kitchenham, B., S. L. Pfleeger, and N. Fenton. "Towards a framework for software measurement validation." IEEE Transactions on Software Engineering 21, no. 12 (1995): 929–44. http://dx.doi.org/10.1109/32.489070.

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Mora, Beatriz, Felix Garcia, Francisco Ruiz, Mario Piattini, Artur Boronat, Abel Gomez, Jose Angel Carsi, and Isidro Ramos. "Software Generic Measurement Framework Based on MDA." IEEE Latin America Transactions 8, no. 5 (September 2010): 605–13. http://dx.doi.org/10.1109/tla.2010.5623515.

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Mora, Beatriz, Felix Garcia, Francisco Ruiz, Mario Piattini, Artur Boronat, Abel Gomez, Jose Angel Carsi, and Isidro Ramos. "Software Generic Measurement Framework Based on MDA." IEEE Latin America Transactions 9, no. 1 (March 2011): 864–71. http://dx.doi.org/10.1109/tla.2011.5876432.

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8

Wang, Jin Zhu, and Jian Jie Ding. "A Framework for Filtrating Software Measures in Software Measurement Process." Advanced Materials Research 605-607 (December 2012): 2479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2479.

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Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.

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Abdellatif, Ahmad, Mohammad Alshayeb, Sami Zahran, and Mahmood Niazi. "A measurement framework for software product maturity assessment." Journal of Software: Evolution and Process 31, no. 4 (January 9, 2019): e2151. http://dx.doi.org/10.1002/smr.2151.

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10

Mouchawrab, Samar, Lionel C. Briand, and Yvan Labiche. "A measurement framework for object-oriented software testability." Information and Software Technology 47, no. 15 (December 2005): 979–97. http://dx.doi.org/10.1016/j.infsof.2005.09.003.

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11

Amara, Dalila, and Latifa Ben Arfa Rabai. "Towards a New Framework of Software Reliability Measurement Based on Software Metrics." Procedia Computer Science 109 (2017): 725–30. http://dx.doi.org/10.1016/j.procs.2017.05.428.

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12

Madeyski, Lech, and Marek Majchrzak. "Software Measurement and Defect Prediction with Depress Extensible Framework." Foundations of Computing and Decision Sciences 39, no. 4 (December 1, 2014): 249–70. http://dx.doi.org/10.2478/fcds-2014-0014.

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Abstract Context. Software data collection precedes analysis which, in turn, requires data science related skills. Software defect prediction is hardly used in industrial projects as a quality assurance and cost reduction mean. Objectives. There are many studies and several tools which help in various data analysis tasks but there is still neither an open source tool nor standardized approach. Results. We developed Defect Prediction for software systems (DePress), which is an extensible software measurement, and data integration framework which can be used for prediction purposes (e.g. defect prediction, effort prediction) and software changes analysis (e.g. release notes, bug statistics, commits quality). DePress is based on the KNIME project and allows building workflows in a graphic, end-user friendly manner. Conclusions. We present main concepts, as well as the development state of the DePress framework. The results show that DePress can be used in Open Source, as well as in industrial project analysis.

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13

He, Qiang, and Shengbao Wang. "A Low-Cost Measurement Framework in Software Defined Networks." International Journal of Communications, Network and System Sciences 10, no. 05 (2017): 54–66. http://dx.doi.org/10.4236/ijcns.2017.105b006.

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14

Morasca, S., L. C. Briand, V. R. Basili, E. J. Weyuker, M. V. Zelkowitz, B. Kitchenham, S. Lawrence Pfleeger, and N. Fenton. "Comments on "Towards a framework for software measurement validation"." IEEE Transactions on Software Engineering 23, no. 3 (March 1997): 187–89. http://dx.doi.org/10.1109/32.585506.

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15

Yang, Xi, Gul Jabeen, Ping Luo, Xiao-Ling Zhu, and Mei-Hua Liu. "A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework." Journal of Computer Science and Technology 33, no. 3 (May 2018): 603–20. http://dx.doi.org/10.1007/s11390-018-1843-2.

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16

Arpaia, Pasquale, Marco Buzio, Lucio Fiscarelli, and Vitaliano Inglese. "A software framework for developing measurement applications under variable requirements." Review of Scientific Instruments 83, no. 11 (November 2012): 115103. http://dx.doi.org/10.1063/1.4764664.

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17

Kitchenham, B., S. L. Pfleeger, and N. Fenton. "Reply To: Comments On "towards A Framework Of Software Measurement Validation"." IEEE Transactions on Software Engineering 23, no. 3 (March 1997): 189. http://dx.doi.org/10.1109/tse.1997.585507.

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18

Habra, Naji, Alain Abran, Miguel Lopez, and Asma Sellami. "A framework for the design and verification of software measurement methods." Journal of Systems and Software 81, no. 5 (May 2008): 633–48. http://dx.doi.org/10.1016/j.jss.2007.07.038.

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19

Li, Xiaodan, Yongfeng Yin, Lance Fiondella, and Yibin Zhou. "Software reliability analysis considering correlated component failures with coupling measurement framework." Journal of Systems Engineering and Electronics 26, no. 5 (October 2015): 1114–26. http://dx.doi.org/10.1109/jsee.2015.00121.

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20

Debou, Christophe, Michael Haux, and Stefan Jungmayr. "A measurement framework for improving verification processes." Software Quality Journal 4, no. 3 (September 1995): 207–25. http://dx.doi.org/10.1007/bf01351924.

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21

Han, Qiang. "A Preliminary Fragmentation Measure for Software Trustworthiness Based on Imprecise Categorization." Applied Mechanics and Materials 256-259 (December 2012): 2906–9. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2906.

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This paper focused on the problem of imprecise categorization of software behavior data, using relative data mining techniques to find determined categorization of software trustworthiness which represents the consistency of software behavior and its claim. In detail, addressing to the measurement method of software trustworthiness mentioned above, this paper propose a new measurement framework for software trustworthiness based on imprecise categorization. We firstly define the formal representation of software trustworthiness according to its definition about imprecise categorization. Secondly, we introduce relative measurement framework about imprecise categorization and its application approaches in measurement for software trustworthiness. Finally, we make the conclusion of this paper and discuss some research area in software trustworthiness in future.

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22

Vaníček, J. "Software quality requirements." Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (February 17, 2012): 177–85. http://dx.doi.org/10.17221/5014-agricecon.

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At the present time, the international standards and technical reports for system and software product quality are dispersed in several series of normative documents (ISO/IEC 9126, ISO/IEC 14598, ISO/IEC 12119 etc.). These documents are not purely consistent and do not contain a tools for exact requirements set-ups. As quality is defined as a degree to which the set of inherent characteristic fulfils requirements, the exact requirement formulation is the key point for the quality measurement evaluation. This paper presents the framework for quality requirements for software, which is recommendable to use in the new international standard series ISO/IEC 250xx developed on the SQuaRE (Software Quality Requirements and Evaluation) standardisation research project. The main part of this contribution was presented on the conference Agrarian Perspectives XIV, organised by the Czech University of Agriculture in Prague, September 20 to 21, 2005.

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23

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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24

Grossglauser, Matthias, and David Tse. "A framework for robust measurement-based admission control." ACM SIGCOMM Computer Communication Review 27, no. 4 (October 1997): 237–48. http://dx.doi.org/10.1145/263109.263173.

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25

Alves, Angela Maria, Marcelo Pessoa, and Clênio F. Salviano. "Proposal for a framework for quality measurement to the SPB – Brazilian Public Software." Business Process Management Journal 21, no. 1 (January 30, 2015): 100–125. http://dx.doi.org/10.1108/bpmj-07-2013-0104.

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Purpose – The purpose of this paper is to address the development of a conceptual framework to drive and assess the quality of software production in the digital ecosystem domain. Design/methodology/approach – This research used action research paradigm, the soft methodology SSM and the framework PRO2PI-MFMOD. The methodologies were applied at Brazilian Public Software Ecosystem. Findings – The results of this research shows: the dimension of the capacity, as suggested by ISO/IEC 15504, is insufficient for quality treatment in certain domains; SSM methodology is suitable for scope and domain clarification in digital ecosystems; and PRO2PI-MFMOD framework is suitable to create a reference model process for digital ecosystems software production. Research limitations/implications – A complete SSM cycle was conducted, but with only one research cycle. In that sense, the results obtained in this research can be interpreted as boundaries to reflections regarding the learning occurred in the system. Practical implications – The research offers an empirical contribution, mapping and defining maturity framework elements that can be used by the software production digital ecosystems, aiming the description and understanding of the phenomenon through the theoretical views of complexity theory, systemic thinking, digital ecosystems and maturity models. Social implications – The contributions can be summarized in the following aspects: the maturity models evolution, shifting from command and control basis to cooperation and connection basis; the maturity models scope, drifting from organizational units to collaborative networks of software production; the assimilation and broadcast of digital ecosystems concept by MCTI; and the maturity levels introduced in the research can be used as a particular case of capacity dimension of the further ISO/IEC 33000 standards. Originality/value – Through the results obtained with systematic revision of the literature, one can notice the absence of publications that approach all the four axes that ground this research simultaneously. The proposed subject is original and relevant to the software community in the matter of software process improvement and to the current and further public digital ecosystems of software development.

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26

Díaz-Ley, M., F. García, and M. Piattini. "Implementing a software measurement program in small and medium enterprises: a suitable framework." IET Software 2, no. 5 (2008): 417. http://dx.doi.org/10.1049/iet-sen:20080026.

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27

Malboubi, Mehdi, Shu-Ming Peng, Puneet Sharma, and Chen-Nee Chuah. "A learning-based measurement framework for traffic matrix inference in software defined networks." Computers & Electrical Engineering 66 (February 2018): 369–87. http://dx.doi.org/10.1016/j.compeleceng.2017.11.020.

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28

Rafele, Carlo. "Logistic service measurement: a reference framework." Journal of Manufacturing Technology Management 15, no. 3 (April 2004): 280–90. http://dx.doi.org/10.1108/17410380410523506.

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29

Kukreja, Vinay, Sachin Ahuja, and Amitoj Singh. "Measurement and structural model of agile software development critical success factors." International Journal of Engineering & Technology 7, no. 3 (June 30, 2018): 1236. http://dx.doi.org/10.14419/ijet.v7i3.12776.

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Purpose: Agile methodologies have emerged as an innovative and successful business changing way for software development companies since the success rate for completing the software projects on time and budget is better than conventional methodologies. This study proposes a theoretical framework of success factors for agile software development and validates the proposed framework using structural equation modeling.Design Methodology: A survey based random sampling was performed for data collection from 201 respondents identified from the pool of agile practitioners in software companies. Structural Equation Modeling performed on the collected data to validate measurement model as well as the structural model.Findings: The theoretical model was confirmed with modifications and the results showed that required level of fitness indexes have been achieved for the measurement model and structural model. The validation of the factors has also been done.Originality/Value: This study will guide the agile practitioners, academicians and project managers to focus more on the particular success factors which have high weight towards project success.

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30

Khalifeh, Amin, Peter Farrell, Mohammad Alrousan, Shaima Alwardat, and Masar Faisal. "Incorporating sustainability into software projects: a conceptual framework." International Journal of Managing Projects in Business 13, no. 6 (July 10, 2020): 1339–61. http://dx.doi.org/10.1108/ijmpb-12-2019-0289.

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PurposeThe paper aims to present a conceptual framework that helps in incorporating sustainability into software projects, highlights the importance of project sustainability and provides an extensive review of recent relevant contributions across various fields.Design/methodology/approachThe authors carried out a systematic bibliographic search on relevant published materials to analyse links between the two disciplines (sustainability and software projects). Furthermore, content analysis was applied to the final selected publications to identify and classify relevant triple bottom line (TBL) aspects to develop the framework.FindingsThe inclusion of TBL-related aspects is the most efficient and effective method used to incorporate sustainability into projects. Most of the relevant contributions in the software literature have focussed on either project product or project process or on one or two dimensions of sustainability rather than the three dimensions of the TBL theory. This study contributes by proposing a conceptual framework that encompasses TBL-related aspects for incorporating sustainability into processes and products of software projects.Research limitations/implicationsValidating the proposed framework empirically could be an interesting research issue. In addition, future works may focus on different types of industries, such as information systems, telecommunications and service sectors, which have seldom been studied in the literature.Practical implicationsSoftware companies – or other relevant organisations – may use the proposed framework as a measurement tool to evaluate the environmental and social impacts of their current products and project management practices. Consequently, these organisations may pay more attention to incorporating sustainability into their project management practices.Originality/valueThe proposed framework may contribute towards a more sustainable orientation by providing a unique combination of TBL-related aspects that gives academics and practitioners a better understanding of how software projects can be managed sustainably.

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31

Sun, Aixin, Ee-Peng Lim, and Wee-Keong Ng. "Performance measurement framework for hierarchical text classification." Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1014–28. http://dx.doi.org/10.1002/asi.10298.

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32

Olsina, Luis, Fernanda Papa, and Hernán Molina. "Ontological support for a measurement and evaluation framework." International Journal of Intelligent Systems 23, no. 12 (December 2008): 1282–300. http://dx.doi.org/10.1002/int.20320.

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33

Martin, Robert A., and Lawrence H. Shafer. "PROVIDING A FRAMEWORK FOR EFFECTIVE SOFTWARE QUALITY MEASUREMENT: MAKING A SCIENCE OF RISK ASSESSMENT." INCOSE International Symposium 6, no. 1 (July 1996): 1158–65. http://dx.doi.org/10.1002/j.2334-5837.1996.tb02136.x.

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34

Jiang, Cong Feng, and Ying Hui Zhao. "Online Power Measurement and Prediction of PCs." Advanced Materials Research 108-111 (May 2010): 700–707. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.700.

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Since more power consumption results in more failures and degradations in system performance, reliability, and power bills, it has been a critical problem for not only large scale server system but also personal computers (PCs). Though much literature has focused on energy management and power budgeting for server systems, power consumption of PCs does not attain sufficient attentions fairly. In this paper an online power measurement and prediction framework is proposed and used to save more energy considering the PC as a whole controlled system. The framework includes parts such as power measurement unit, power prediction unit and a simple execution unit of power reduction decisions. A hardware-software joint prototype is implemented based on an intelligent digital multimeter. Experiments on a desktop PC and a laptop show that PC with the framework can save more power consumptions than that of the PCs without this framework.

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35

Ilieva, Galina, Tania Yankova, Irina Radeva, and Ivan Popchev. "Blockchain Software Selection as a Fuzzy Multi-Criteria Problem." Computers 10, no. 10 (September 24, 2021): 120. http://dx.doi.org/10.3390/computers10100120.

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Increased consumer requirements for quality, safety and traceability of goods in supply chains has accelerated the implementation of blockchain during the COVID-19 pandemic. The right choice of blockchain software is a complicated task and an important prerequisite for successful deployment. In this study, we propose a conceptual framework for group multi-criteria selection of blockchain software in fuzzy environment according to organization needs and experts’ judgements. The applicability of the new framework has been verified through an illustrative example for ranking blockchain systems. The evaluations of compared alternatives were calculated by using measurement of alternatives and ranking according to the compromise solution (MARCOS) method. The robustness of the new framework was proven by sensitivity analysis in which two (crisp and fuzzy) MARCOS models with two different sets of weighting coefficients were compared.

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36

Foltýnek, Petr, Marek Babiuch, and Pavel Šuránek. "Measurement and data processing from Internet of Things modules by dual-core application using ESP32 board." Measurement and Control 52, no. 7-8 (June 19, 2019): 970–84. http://dx.doi.org/10.1177/0020294019857748.

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The contribution describes the application of an Internet of Things device with an ESP32 microcontroller with the dual-core implementation of data processing and wireless communication. The first leading idea of using low-end hardware and software optimization to create software architecture in order to make the most of this hardware and reduce the cost of more expensive hardware solutions was tested. Our goal in architectural design was achieved. We created the basis of a general framework and defined its use scenarios, and then implemented these scenarios using components. This article describes the progressive development of our embedded vibration measurement testing system, on which we tested the individual software components for our framework. We created an application for our components using ESP32 processor cores, which divided the responsibility of these cores for the components of our framework.

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37

O'Connor, Trent, and Stephen Cook. "Considerations for a Framework for Specification and Measurement of Reserve Capacity in Software-Intensive Systems." INCOSE International Symposium 25, no. 1 (October 2015): 152–68. http://dx.doi.org/10.1002/j.2334-5837.2015.00054.x.

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38

Kurtel, Kaan, and Murat Ozemre. "Cohesive software measurement planning framework using ISO standards: a case study from logistics service sector." Journal of Software: Evolution and Process 25, no. 7 (April 13, 2012): 663–79. http://dx.doi.org/10.1002/smr.1557.

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39

Meridji, Kenza, Khalid T. Al-Sarayreh, Alain Abran, and Sylvie Trudel. "System security requirements: A framework for early identification, specification and measurement of related software requirements." Computer Standards & Interfaces 66 (October 2019): 103346. http://dx.doi.org/10.1016/j.csi.2019.04.005.

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40

SCACCHI, WALT. "UNDERSTANDING SOFTWARE PRODUCTIVITY: TOWARDS A KNOWLEDGE-BASED APPROACH." International Journal of Software Engineering and Knowledge Engineering 01, no. 03 (September 1991): 293–321. http://dx.doi.org/10.1142/s0218194091000214.

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What affects software productivity and how do we improve it? This report examines the current state of the art in understanding and measuring software productivity. In turn, it describes a framework for understanding software productivity, identifies some fundamentals of measurement, surveys selected studies of software productivity, and identifies variables that affect software productivity. Then, a radical alternative to current approaches is suggested: to construct, evaluate, deploy, and evolve a knowledge-based "software productivity modeling and simulation system."

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41

Niazi, Mahmood, Karl Cox, and June Verner. "A measurement framework for assessing the maturity of requirements engineering process." Software Quality Journal 16, no. 2 (September 15, 2007): 213–35. http://dx.doi.org/10.1007/s11219-007-9033-4.

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42

Han Hee Song, Lili Qiu, and Yin Zhang. "NetQuest: A Flexible Framework for Large-Scale Network Measurement." IEEE/ACM Transactions on Networking 17, no. 1 (February 2009): 106–19. http://dx.doi.org/10.1109/tnet.2008.925635.

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43

Klein, Daniel. "Implementing a General Framework for Assessing Interrater Agreement in Stata." Stata Journal: Promoting communications on statistics and Stata 18, no. 4 (December 2018): 871–901. http://dx.doi.org/10.1177/1536867x1801800408.

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Despite its well-known weaknesses, researchers continuously choose the kappa coefficient (Cohen, 1960, Educational and Psychological Measurement 20: 37–46; Fleiss, 1971, Psychological Bulletin 76: 378–382) to quantify agreement among raters. Part of kappa's persistent popularity seems to arise from a lack of available alternative agreement coefficients in statistical software packages such as Stata. In this article, I review Gwet’s (2014, Handbook of Inter-Rater Reliability) recently developed framework of interrater agreement coefficients. This framework extends several agreement coefficients to handle any number of raters, any number of rating categories, any level of measurement, and missing values. I introduce the kappaetc command, which implements this framework in Stata.

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44

Ghareb, Mazen Ismaeel, and Gary Allen. "Quality Metrics measurement for Hybrid Systems (Aspect Oriented Programming – Object Oriented Programming)." Technium: Romanian Journal of Applied Sciences and Technology 3, no. 3 (April 21, 2021): 82–99. http://dx.doi.org/10.47577/technium.v3i3.3261.

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This paper explores a new framework for calculating hybrid system metrics using software quality metrics aspect-oriented and object-oriented programming. Software metrics for qualitative and quantitative measurement is a mix of static and dynamic software metrics. It is noticed from the literature survey that to date, most of the architecture considered only the evaluation focused on static metrics for aspect-oriented applications. In our work, we mainly discussed the collection of static parameters , long with AspectJ-specific dynamic software metrics.The structure may provide a new direction for research while predicting software attributes because earlier dynamic metrics were ignored when evaluating quality attributes such as maintainability, reliability, and understandability of Asepect Oriented software. Dynamic metrics based on the fundamentals of software engineering are equally crucial for software analysis as are static metrics. A similar concept is borrowed with the introduction of dynamic software metrics to implement aspect-riented software development.Currently, we only propose a structure and model using static and dynamic parameters to test the aspect-oriented method, but we still need to validate the proposed approach.

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45

Ahamed, Nizam Uddin, Kenneth Sundaraj, R. Badlishah Ahmad, Matiur Rahman, and Asraf Ali. "A Framework for the Development of Measurement and Quality Assurance in Software-Based Medical Rehabilitation Systems." Procedia Engineering 41 (2012): 53–60. http://dx.doi.org/10.1016/j.proeng.2012.07.142.

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46

Preece, Jenny, and H. Dieter Rombach. "A taxonomy for combining software engineering and human-computer interaction measurement approaches: towards a common framework." International Journal of Human-Computer Studies 41, no. 4 (October 1994): 553–83. http://dx.doi.org/10.1006/ijhc.1994.1073.

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47

Lin, Lie-Chien, and Tzu-Su Li. "An integrated framework for supply chain performance measurement using six-sigma metrics." Software Quality Journal 18, no. 3 (May 14, 2010): 387–406. http://dx.doi.org/10.1007/s11219-010-9099-2.

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48

Afful-Dadzie, Anthony, Eric Afful-Dadzie, and Charles Turkson. "A TOPSIS extension framework for re-conceptualizing sustainability measurement." Kybernetes 45, no. 1 (January 11, 2016): 70–86. http://dx.doi.org/10.1108/k-04-2015-0106.

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Purpose – The purpose of this paper is to propose a sustainability measurement and scoring system for assessing the efforts of organizations at meeting sustainability targets. Using technique for order preference by similarity to ideal solution (TOPSIS) as the basic framework, the proposed method incorporates all three sustainability dimensions – economic, environmental and social – to establish a threshold below which an organization is considered to have failed a sustainability test. In Addition, an introduction of a time-independent threshold enables a clearer comparison of performance of organizations over time. The proposed method includes plots for visualizing the sustainability performance of organizations under review. Design/methodology/approach – The proposed method first assigns target values to a hypothetical organization. TOPSIS is then used to generate composite scores in which the score of the hypothetical organization is set as the threshold below which organizations are deemed to have failed a sustainability test. Using the square of the closeness coefficient of TOPSIS, the final composite score is decomposed into three components to reflect the contribution of the three dimensions of sustainability to serve as a guide to determining which dimension to focus on for improvement. A relative comparison score is then proposed to track the performance of organizations over time. Findings – The proposed method with its ability to set a threshold is able to determine organizations that have passed a sustainability test from those that have failed. The tracking of organizational performance over time also serves to highlight progress being made by organizations to meet an agreed sustainability target. Results from the application of the proposed method for evaluating sustainability of banks under the three dimensions of sustainability highlight its practical applicability. The proposed method can also be applied to a wide range of comparison problems including make-or-by decisions and award selection. Practical implications – As most industries and organizations become conscious of the pressure to adopt sustainable practices, the proposed measuring system would help identify those that are meeting sustainability targets as well as to track their progress over time. Originality/value – Most sustainability measurement indicators rarely have thresholds to determine whether an organization has met or failed to meet a sustainability test other than ranking them from top to bottom. The proposed method provides a threshold as well as a procedure for tracking the sustainability performance of organizations over time.

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Morgenthal, Guido, Jan Frederick Eick, Sebastian Rau, and Jakob Taraben. "Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring." Sensors 19, no. 9 (May 3, 2019): 2070. http://dx.doi.org/10.3390/s19092070.

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Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enable robust data acquisition, data processing, sensor network communication, and timing with a focus on structural health monitoring (SHM) applications. The framework was validated on Raspberry Pi computers, and its performance was studied in detail. The paper presents several characteristics of the measurement quality such as sampling accuracy and time synchronization and discusses the specific limitations of the system. The implementation includes a complementary smartphone application that is utilized for data acquisition, visualization, and analysis. A prototypical implementation further demonstrates the feasibility of integrating smartphones as data acquisition nodes into the network, utilizing their internal sensors. The measurement system was employed in several monitoring campaigns, three of which are documented in detail. The suitability of the system is evaluated based on comparisons of target quantities with reference measurements. The results indicate that the presented system can robustly achieve a measurement performance commensurate with that required in many typical SHM tasks such as modal identification. As such, it represents a cost-effective alternative to more traditional monitoring solutions.

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Müller, Andreas Michael, and Tino Hausotte. "Determination of the single point precision associated with tactile gear measurements in scanning mode." Journal of Sensors and Sensor Systems 9, no. 1 (February 24, 2020): 61–70. http://dx.doi.org/10.5194/jsss-9-61-2020.

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Abstract. The framework of the single point uncertainty developed at the Institute of Manufacturing Metrology (FMT) presents a methodology to determine and evaluate the local measurement uncertainty for a measurement setup by local comparison of a measurement series with an associated reference geometry. This approach, which was originally developed and optimized for the processing of complete areal measurements of work pieces using industrial X-ray computed tomography, was now also extended to line scans found in dimensional testing using tactile coordinate measuring machines (CMMs). The targets of the investigation are spur (involute) steel gear wheels, which can be dimensionally characterized by both helix and profile scans using a CMM in scanning mode in combination with a rotatory table. A second measurement procedure is characterized by a single scan of the complete gear profile without the usage of a rotatory table, using the “free-form scan” CMM functionality. The modification of the single point uncertainty framework in order to determine the single point precision of repeated gear wheel measurements was implemented successfully for gear measurements using the Zeiss Gear Pro evaluation software in combination with a rotatory table as well as unassisted free-form scans of the same gear. The examinations yielded abnormally high random measurement errors, which could not fully be explained within our examinations and was for the most part caused by the accuracy of the used rotatory table of the CMM. The alternative measurement method showed that the CMM system is capable of measuring very precisely in scanning mode if the changes in the curvature of the scan trajectory are favourable.

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