Relevant bibliographies by topics / Performance measurement software

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Performance measurement software'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Performance measurement software"

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Ben Hadj Salem Mhamdia, Amel. "Performance measurement practices in software ecosystem." International Journal of Productivity and Performance Management 62, no. 5 (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 (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
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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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Batocchio, Antonio, and Shahrukh Adi Irani. "Design of manufacturing cells: strategy, software and performance measurement." Gestão & Produção 3, no. 3 (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 (1993): 275–76. http://dx.doi.org/10.1145/166962.167040.

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Venturini, Wander Trindade, and Óscar González Benito. "CRM software success: a proposed performance measurement scale." Journal of Knowledge Management 19, no. 4 (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 comp
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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 (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 (2021): 012019. http://dx.doi.org/10.1088/1755-1315/700/1/012019.

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Mead, Nancy R., Dan Shoemaker, and Carol Woody. "Principles and Measurement Models for Software Assurance." International Journal of Secure Software Engineering 4, no. 1 (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 sta
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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 (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 f
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Dissertations / Theses on the topic "Performance measurement software"

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Kanik, Yusuf. "Software Project Scheduling, Software Project Performance Measurement And Control." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606362/index.pdf.

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This thesis is about software project scheduling and use of earned value method on software projects. As a result of the study, a solution for software project scheduling problems is proposed. A mathematical formulation, developed using integer programming method, is at the heart of the solution. Objective of the formulation is to minimize the development costs consisting of direct labor cost, indirect costs and probable penalty costs. The formulation takes the capability and compatibility variances among resources into account whereas contemporary approaches mostly focus on resource availabi
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Axelsson, Mattias, and Johan Sonesson. "Business Process Performance Measurement for Rollout Success." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2920.

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Business process improvement for increased product quality is of continuous importance in the software industry. Quality managers in this sector need effective, hands-on tools for decision-making in engineering projects and for rapidly spotting key improvement areas. Measurement programs are a widespread approach for introducing quality improvement in software processes, yet employing all-embracing state-of-the art quality assurance models is labor intensive. Unfortunately, these do not primarily focus on measures, revealing a need for an instant and straightforward technique for identifying a
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Tumkur, Anand AswathaNarayana, and Avijit Dutta. "PROTOCOL PERFORMANCE MEASUREMENT METHODOLOGY - EXPERIMENTATION WITH SIGNALING SYSTEM NO 7." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6226.

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<p>Performance is the driving force for the effective network utilization in the current telecommunication world. The thesis aims to define suitable performance measurement methodologies for communication over stack based Signalling System No 7 (SS7). This thesis also throws a quick glance on open source SS7 and Ericsson proprietary SS7 protocols, to devise performance measurement approach that can be adopted to develop sophisticated tools. We adopt a scientific experimental approach for numerical measurement of throughput and latency of the protocol stack. Our current work finishes experiment
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Esguelha, Nuno Miguel Lobato Franco. "How reporting and controlling systems can be effectively designed to support the decision-making process: the case of a software SME." Master's thesis, NSBE - UNL, 2014. http://hdl.handle.net/10362/11755.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics<br>This Work Project (WP) addresses the challenges faced by companies, particularly software houses, in reporting, decision making and controlling project performance activities. It focuses on issues regarding design and implementation of management control systems to support those activities and help achieve strategic goals. The WP suggests courses of action to be followed to improve the quality of information provided by such systems for budge
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Simpson, Charles Robert Jr. "A Distributed Approach to Passively Gathering End-to-End Network Performance Measurements." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5199.

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NETI@home is an open-source software package that collects network performance statistics from end-systems. It has been written for and tested on the Windows, Solaris, and Linux operating systems, with testing for other operating systems to be completed soon. NETI@home is designed to run on end-user machines and collect various statistics about Internet performance. These statistics are then sent to a server at the Georgia Institute of Technology, where they are collected and made publicly available. This tool gives researchers much needed data on the end-to-end performance of the Internet, as
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Pinheiro, Sandro Bressan. "Melhoria do software de medição de desempenho com base na satisfação do usuário numa empresa de celulose e papel." Universidade Federal de São Carlos, 2011. https://repositorio.ufscar.br/handle/ufscar/3674.

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Made available in DSpace on 2016-06-02T19:51:51Z (GMT). No. of bitstreams: 1 3816.pdf: 4863578 bytes, checksum: 8fb712be8abe6ebad7be0ebb336f461b (MD5) Previous issue date: 2011-04-29<br>The performance measurement implementation fails in many companies because of lack of information technology (IT) support. Hence it is obvious that IT is one of the critical success factors for performance measurement implementation. The successful implementation of performance measurement depends less on selecting the right measures and more on the way the measures are implemented and used by the people in t
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Larges, Chad M. "Analysis of the Company Officer Management Information System (COMIS) performance measurement software at the United States Naval Academy." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA379477.

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Thesis (M.S. in Leadership and Human Resource Development)--Naval Postgraduate School, June 2000.<br>Thesis advisors, Owen, Walter E. ; Snider, Keith F. "June 2000." Includes bibliographical references (p. 89-90). Also available in print.
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Zheng, Li. "Improving performance measurement of engineering projects : methods to develop indicators." Thesis, Toulouse, INSA, 2018. http://www.theses.fr/2018ISAT0006.

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La mesure de la performance est l’une des nombreuses activités de la gestion de projet, elle contribue à assurer le succès du projet. Pour atteindre ce but, les entreprises ont besoin de déterminer un système de mesures de la performance. Ces mesures fournissent au chef de projet l’état de santé du projet et l’aide à évaluer s’il a atteint ou va atteindre ses objectifs. Néanmoins, avec la complexité croissante des projets et la nécessité économique absolue d’atteindre les objectifs, les chefs de projets ne peuvent plus se contenter de superviser les coûts et le planning pour évaluer la perform
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Lundgren, Thomas. "Kartläggning av systemanvändning genom Application Performance Monitoring." Thesis, Högskolan i Gävle, Datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-32652.

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Application Performance Monitoring (APM) används i allt större utsträckning för att samla in data om mjukvarusystems prestanda och om hur användare interagerar med systemen. Detta för att säkerställa tillgänglighet och robusthet samt förbättra slutanvändarupplevelser. Syftet med denna studie är att undersöka hur införandet av APM kan gå till, vilka utmaningar som finns samt vilka kostnader och prestandaförsämringar som införandet innebär. Detta görs genom en fallstudie där APM implementeras i Enterprise Resource Planning-systemet MONITOR G5 som utvecklats av det svenska företaget Monitor ERP S
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Palm, Johan. "High Performance FPGA-Based Computation and Simulation for MIMO Measurement and Control Systems." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7477.

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<p>The Stressometer system is a measurement and control system used in cold rolling to improve the flatness of a metal strip. In order to achieve this goal the system employs a multiple input multiple output (MIMO) control system that has a considerable number of sensors and actuators. As a consequence the computational load on the Stressometer control system becomes very high if too advance functions are used. Simultaneously advances in rolling mill mechanical design makes it necessary to implement more complex functions in order for the Stressometer system to stay competitive. Most industria
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Books on the topic "Performance measurement software"

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Antinisca, Di Marco, Inverardi Paola, and SpringerLink (Online service), eds. Model-Based Software Performance Analysis. Springer-Verlag Berlin Heidelberg, 2011.

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Singh, Jasveer. Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119238126.

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Rick, Turner, Hatt Deborah, Cook Jim, and International Business Machines Corporation. International Technical Support Organization., eds. Application and program performance analysis using PEX Statistics on IBM i5/OS. IBM Technical support Organization, 2007.

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Abran, Alain. Software Process and Product Measurement: International Conferences IWSM 2009 and Mensura 2009 Amsterdam, The Netherlands, November 4-6, 2009. Proceedings. Springer-Verlag Berlin Heidelberg, 2009.

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Apache JMeter: A practical beginner's guide to automated testing and performance measurement for your websites. Packt Publishing Limited, 2008.

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Roughan, Matthew. Passive and Active Measurement: 14th International Conference, PAM 2013, Hong Kong, China, March 18-19, 2013. Proceedings. Springer Berlin Heidelberg, 2013.

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Meikel, Poess, and SpringerLink (Online service), eds. Topics in Performance Evaluation, Measurement and Characterization: Third TPC Technology Conference, TPCTC 2011, Seattle, WA, USA, August 29-September 3, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Performance Measurement Systems Software Publishers Directory. Technical Communications Assoc, 1990.

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Inverardi, Paola, Vittorio Cortellessa, and Antinisca Di Marco. Model-Based Software Performance Analysis. Springer, 2011.

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Vincent, James R. A performance measurement methodology for software multiple-backend database systems. 1985.

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Book chapters on the topic "Performance measurement software"

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Allworth, S. T., and R. N. Zobel. "Performance Measurement." In Introduction to Real-time Software Design. Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-18821-5_11.

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Buglione, Luigi, and Alain Abran. "Multidimensional Software Performance Measurement Models: A Tetrahedron-based Design." In Software Measurement. Deutscher Universitätsverlag, 1999. http://dx.doi.org/10.1007/978-3-663-08949-0_6.

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Deuter, Andreas, and Hans-Jürgen Koch. "Applying Manufacturing Performance Figures to Measure Software Development Excellence." In Software Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_5.

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Schmietendorf, Andreas, and André Scholz. "Maturity Evaluation of the Performance Engineering Process." In New Approaches in Software Measurement. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44704-0_9.

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Schmietendorf, Andreas, and Andreas End. "A Prototypical Simulation Model to Analyze the Business Process Performance." In Software Process and Product Measurement. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05415-0_10.

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Foltin, Erik, and Andreas Schmietendorf. "Estimating the Cost of Carrying out Tasks Relating to Performance Engineering." In New Approaches in Software Measurement. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44704-0_5.

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Vukovic, Vuk, Pere Tumbas, Lazar Rakovic, Mirjana Maric, and Veselin Pavlicevic. "A Performance Measurement System for Software Testing Process." In Information Systems: Research, Development, Applications, Education. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00060-8_1.

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Mistrik, I., and D. A. Nelson. "Performance Measurement and Tuning of Interactive Information Systems." In Empirical Foundations of Information and Software Science IV. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5472-7_21.

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Tokuno, Koichi, and Shigeru Yamada. "Software Performability Measurement Based on Availability Model with User-Perceived Performance Degradation." In Advances in Software Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10619-4_32.

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Emami, Mir Shahriar, Ghazali Bin Sulong, and Jasni Mohamad Zain. "A New Performance Trade-Off Measurement Technique for Evaluating Image Watermarking Schemes." In Software Engineering and Computer Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22170-5_49.

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Conference papers on the topic "Performance measurement software"

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Konkin, Douglas P., Gregory M. Oster, and Richard B. Bunt. "Exploiting software interfaces for performance measurement." In the first international workshop. ACM Press, 1998. http://dx.doi.org/10.1145/287318.287364.

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Vetland, Vidar, Peter Hughes, and Arne Sølvberg. "A composite modelling approach to software performance measurement." In the 1993 ACM SIGMETRICS conference. ACM Press, 1993. http://dx.doi.org/10.1145/166955.167040.

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Narayana, Srinivas, Anirudh Sivaraman, Vikram Nathan, et al. "Hardware-Software Co-Design for Network Performance Measurement." In HotNets-XV: The 15th ACM Workshop on Hot Topics in Networks. ACM, 2016. http://dx.doi.org/10.1145/3005745.3005775.

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Faulk, S. "Toward accurate HPC productivity measurement." In "Software Engineering for High Performance Computing System (HPCS) Applications" W3S Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040417.

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Inam, Rafia, Mikael Sjodin, and Marcus Jagemar. "Bandwidth measurement using performance counters for predictable multicore software." In 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012). IEEE, 2012. http://dx.doi.org/10.1109/etfa.2012.6489714.

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Romano, Simone, Giuseppe Scanniello, Davide Fucci, Natalia Juristo, and Burak Turhan. "The effect of noise on software engineers' performance." In ESEM '18: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement. ACM, 2018. http://dx.doi.org/10.1145/3239235.3240496.

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Alameh, Rola, Nico Zazworka, and Jeffrey K. Hollingsworth. "Performance Measurement of Novice HPC Programmers Code." In Third International Workshop on Software Engineering for High Performance Computing Applications (SE-HPC '07). IEEE, 2007. http://dx.doi.org/10.1109/se-hpc.2007.4.

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Romein, John W., and Bram Veenboer. "PowerSensor 2: A Fast Power Measurement Tool." In 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). IEEE, 2018. http://dx.doi.org/10.1109/ispass.2018.00020.

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Bhawna and Marriwala Nikhil. "Error Control Coding and Performance Measurement for Software Defined Radios." In 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2019. http://dx.doi.org/10.1109/ispcc48220.2019.8988437.

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Botzenhardt, Achim, and Alexander Maedche. "Towards a performance measurement reference model for software product management." In 2010 Fourth International Workshop on Software Product Management (IWSPM). IEEE, 2010. http://dx.doi.org/10.1109/iwspm.2010.5623869.

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Reports on the topic "Performance measurement software"

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Feller, D. F. The MSRC Ab Initio Methods Benchmark Suite: A measurement of hardware and software performance in the area of electronic structure methods. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10121145.

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Pieterse, Vreda, and David Flater. The ghost in the machine : don’t let it haunt your software performance measurements. National Institute of Standards and Technology, 2014. http://dx.doi.org/10.6028/nist.tn.1830.

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