Relevant bibliographies by topics / Processes and metrics

Academic literature on the topic 'Processes and metrics'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Processes and metrics"

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Shepperd, M. "Products, processes and metrics." Information and Software Technology 34, no. 10 (October 1992): 674–80. http://dx.doi.org/10.1016/0950-5849(92)90072-w.

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André, Charles. "Stroke treatment: metrics and processes." Arquivos de Neuro-Psiquiatria 73, no. 6 (June 2015): 474–75. http://dx.doi.org/10.1590/0004-282x20150090.

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Desharnais, Josée, Vineet Gupta, Radha Jagadeesan, and Prakash Panangaden. "Metrics for labelled Markov processes." Theoretical Computer Science 318, no. 3 (June 2004): 323–54. http://dx.doi.org/10.1016/j.tcs.2003.09.013.

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Castro, Pablo Samuel. "Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10069–76. http://dx.doi.org/10.1609/aaai.v34i06.6564.

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We present new algorithms for computing and approximating bisimulation metrics in Markov Decision Processes (MDPs). Bisimulation metrics are an elegant formalism that capture behavioral equivalence between states and provide strong theoretical guarantees on differences in optimal behaviour. Unfortunately, their computation is expensive and requires a tabular representation of the states, which has thus far rendered them impractical for large problems. In this paper we present a new version of the metric that is tied to a behavior policy in an MDP, along with an analysis of its theoretical properties. We then present two new algorithms for approximating bisimulation metrics in large, deterministic MDPs. The first does so via sampling and is guaranteed to converge to the true metric. The second is a differentiable loss which allows us to learn an approximation even for continuous state MDPs, which prior to this work had not been possible.
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Hölttä, Vesa, and Heikki Koivo. "Performance metrics for web-forming processes." Journal of Process Control 21, no. 6 (July 2011): 885–92. http://dx.doi.org/10.1016/j.jprocont.2011.03.008.

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Muketha, G. M., A. A. A. Ghani, M. H. Selamat, and R. Atan. "Complexity Metrics for Executable Business Processes." Information Technology Journal 9, no. 7 (September 15, 2010): 1317–26. http://dx.doi.org/10.3923/itj.2010.1317.1326.

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Daudelin, Denise H., Laura E. Peterson, Lisa C. Welch, Redonna Chandler, Mridu Pandey, Farzad Noubary, Philip L. Lee, and Harry P. Selker. "Implementing Common Metrics across the NIH Clinical and Translational Science Awards (CTSA) consortium." Journal of Clinical and Translational Science 4, no. 1 (November 26, 2019): 16–21. http://dx.doi.org/10.1017/cts.2019.425.

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AbstractThe Clinical and Translational Science Award (CTSA) Consortium and the National Center for Advancing Translational Science (NCATS) undertook a Common Metrics Initiative to improve research processes across the national CTSA Consortium. This was implemented by Tufts Clinical and Translational Science Institute at the 64 CTSA academic medical centers. Three metrics were collaboratively developed by NCATS staff, CTSA Consortium teams, and outside consultants for Institutional Review Board Review Duration, Careers in Clinical and Translational Research, and Pilot Award Publications and Subsequent Funding. The implementation program included training on the metric operational guidelines, data collection, data reporting system, and performance improvement framework. The implementation team provided small-group coaching and technical assistance. Collaborative learning sessions, driver diagrams, and change packages were used to disseminate best and promising practices. After 14 weeks, 84% of hubs had produced a value for one metric and about half had produced an initial improvement plan. Overall, hubs reported that the implementation activities facilitated their Common Metrics performance improvement process. Experiences implementing the first three metrics can inform future directions of the Common Metrics Initiative and other research groups implementing standardized metrics and performance improvement processes, potentially including other National Institutes of Health institutes and centers.
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Yakovyna, Vitalii, and Bohdan Uhrynovskyi. "User-perceived Response Metrics in Android OS for Software Aging Detection." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 9 (June 10, 2021): 32–43. http://dx.doi.org/10.23939/sisn2021.09.032.

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Mobile systems and devices including Android are vulnerable to the effects of software aging which are manifested in performance degradation during long run-time. It is important to identify efficient system and user interface metrics for detecting and counteracting the software aging effects. The aging metrics used in researches of the Android operating system do not take into account the aging processes in user applications. Therefore, this paper discusses two new graphical user interface metrics that allow to track performance degradation and user applications response time: Frame Draw Time and Janky Frames (dropped or delayed frames). Test framework was implemented to perform stress testing of mobile applications in the Android operating system, to collect system state data during stress test performing and to map obtained raw data into time series. Calculated time series are used for further analysis and study of system and graphical user interface metrics. The considered metrics have been compared to the previously used Android Activity Launch Time metric and RAM usage metrics. Practical results have shown that Frame Draw Time and Janks Frames metrics provide data, which can be useful in most scenarios of mobile application using. Therefore, it is proposed to use the two new metrics in combination with other previously used metrics to detect aging trends in the system state and to study the phenomenon of software aging in general. It is noted that the Frame Draw Time metric value can be mapped to states with determined thresholds for transition between these states. These states and thresholds provide the possibility of developing mathematical models based on Markov chains or forecasting the time to aging-failure using regression methods. The need of further study of the correlations between Frame Draw Time metric, Janky Frames metric and metrics of memory usage by different system processes has been identified. Thus, the expediency of using the proposed metrics in future studies of the aging phenomenon in the Android operating system is substantiated, in particular, the effectiveness of the proposed metrics could be checked for different mobile use cases and for different types of mobile applications.
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Salas, Eduardo, and Stephen M. Fiore. "Macrocognition Metrics: Meaningful Measures for Complex Processes." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (October 2007): 402–4. http://dx.doi.org/10.1177/154193120705100453.

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Increasingly we see business functions and military operations engaging systems that are interconnected and interdependent with an even greater degree of cognitive work distributed among people and machines. From this we will see an increased need to understand how individuals and teams in these environments are able to work together to plan, think, decide, solve problems, and take action as integrated units. This panel brings together leading researchers from the burgeoning field of macrocognition to discuss their research. In cognitive engineering and related scientific disciplines the term macrocognition has been contrasted with microcognition to illustrate differing types of cognitive processes. What complicates the issue is that these distinctions consider not only the realization of cognition in the real world but also a level of analysis. Panel members will discuss issues arising out of research to understand complex and collaborative activities in vivo and in situ and in the development of the appropriate metrics to measure dynamic cognitive processes in such environments.
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Shaw, Robert, and Carolyn White. "better managed processes CREATE better marketing metrics." Measuring Business Excellence 3, no. 4 (April 1999): 28–35. http://dx.doi.org/10.1108/eb025584.

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Dissertations / Theses on the topic "Processes and metrics"

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Ferns, Norman Francis. "Metrics for Markov decision processes." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80263.

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We present a class of metrics, defined on the state space of a finite Markov decision process (MDP), each of which is sound with respect to stochastic bisimulation, a notion of MDP state equivalence derived from the theory of concurrent processes. Such metrics are based on similar metrics developed in the context of labelled Markov processes, and like those, are suitable for state space aggregation. Furthermore, we restrict our attention to a subset of this class that is appropriate for certain reinforcement learning (RL) tasks, specifically, infinite horizon tasks with an expected total discounted reward optimality criterion. Given such an RL metric, we provide bounds relating it to the optimal value function of the original MDP as well as to the value function of the aggregate MDP. Finally, we present an algorithm for calculating such a metric up to a prescribed degree of accuracy and some empirical results.
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Ferns, Norman Francis. "State-similarity metrics for continuous Markov decision processes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103383.

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In recent years, various metrics have been developed for measuring the similarity of states in probabilistic transition systems (Desharnais et al., 1999; van Breugel & Worrell, 2001a). In the context of Markov decision processes, we have devised metrics providing a robust quantitative analogue of bisimulation. Most importantly, the metric distances can be used to bound the differences in the optimal value function that is integral to reinforcement learning (Ferns et al. 2004; 2005). More recently, we have discovered an efficient algorithm to calculate distances in the case of finite systems (Ferns et al., 2006). In this thesis, we seek to properly extend state-similarity metrics to Markov decision processes with continuous state spaces both in theory and in practice. In particular, we provide the first distance-estimation scheme for metrics based on bisimulation for continuous probabilistic transition systems. Our work, based on statistical sampling and infinite dimensional linear programming, is a crucial first step in real-world planning; many practical problems are continuous in nature, e.g. robot navigation, and often a parametric model or crude finite approximation does not suffice. State-similarity metrics allow us to reason about the quality of replacing one model with another. In practice, they can be used directly to aggregate states.
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Afzal, Wasif. "Metrics in Software Test Planning and Test Design Processes." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6193.

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Software metrics plays an important role in measuring attributes that are critical to the success of a software project. Measurement of these attributes helps to make the characteristics and relationships between the attributes clearer. This in turn supports informed decision making. The field of software engineering is affected by infrequent, incomplete and inconsistent measurements. Software testing is an integral part of software development, providing opportunities for measurement of process attributes. The measurement of software testing process attributes enables the management to have better insight in to the software testing process. The aim of this thesis is to investigate the metric support for software test planning and test design processes. The study comprises of an extensive literature study and follows a methodical approach. This approach consists of two steps. The first step comprises of analyzing key phases in software testing life cycle, inputs required for starting the software test planning and design processes and metrics indicating the end of software test planning and test design processes. After establishing a basic understanding of the related concepts, the second step identifies the attributes of software test planning and test design processes including metric support for each of the identified attributes. The results of the literature survey showed that there are a number of different measurable attributes for software test planning and test design processes. The study partitioned these attributes in multiple categories for software test planning and test design processes. For each of these attributes, different existing measurements are studied. A consolidation of these measurements is presented in this thesis which is intended to provide an opportunity for management to consider improvement in these processes.
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Holgersen, Lars Kristian. "Performance Monitoring in Teekay Petrojarl : Criteria, Metrics, Utilisation of Data and Improvement Processes." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26700.

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The petroleum industry is capital intensive and oil companies are dependent on stable and reliable production. Costs in early project phases must be balanced by revenue in production phases. Improving performance to ensure positive cash flow and competitiveness in the market is imperative. An understanding of past performance is important when the task at hand is improving future performance. These systems have the objective to improve operational performance by facilitating for well-informed, proportionate and timely decisions. This is done through collecting and validating data, developing it to tangible information and through appropriate presentation. The thesis argues that a Performance Monitoring System can provide opportunities for increased production and therefore revenue, through a reduction of production losses and a higher overall facility output.An explorative literature review in Operations management, Systems Engineering, Petroleum- Production, and industry experiences is carried out to create a multidisciplinary and integrated theoretical framework. This is synthesised in criteria for system structure, data management and indicators, and can be used to design and assess Performance Monitoring Systems.The multi-national oil-company Teekay Petrojarl is used as a case where empirical data from two production units illustrate practical execution of performance monitoring in the Norwegian offshore oil and gas industry. An emphasis is given on loss reporting and indicators. The criteria are used to assess the system to reveal strengths and weaknesses, and to serve as a basis for improvement suggestions both for the criteria and for the company.Integrating internal and external stakeholder interests in the Performance Monitoring System shows as important. Developing a policy that formalises roles, responsibilities and processes is needed for the system to function optimally. The company is advised to revise its system according to this. Management of data is a recurring issue in the industry and the case confirms this impression. Data is available and accurate, but an overall plan for the intent and objective of collecting and processing it is missing. The company should standardise reporting formats and tags to facilitate for internal benchmarking. Increasing visibility of loss causes in the presentation-end could increase system quality.The thesis increases knowledge on how Performance Monitoring Systems ideally should be structured and establishes a framework to be used in design an assessment of such systems. It also contributes to Teekay Petrojarl by giving important advise on how to improve their system. Further development of the criteria can provide a more robust framework that can improve the practical execution of performance monitoring in offshore oil and gas production.
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Szyszkowicz, B. (Barbara) Carleton University Dissertation Mathematics. "Weak convergence of stochastic processes in weighted metrics and their applications to contiguous changepoint analysis." Ottawa, 1992.

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Chvalovská, Jana. "Řízení podnikové výkonnosti (CPM) v obchodních organizacích." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75464.

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Corporate Performance Management (CPM) is currently one of the most developing branches of informatics due to the fact that it is a tool that allows managers to effectively manage their company and thereby increase its competitiveness in the market. This thesis focuses on the individual elements of the CPM, particularly on the managerial methods, metrics and business processes, which are generally characterized first and then applied to business organizations that operate in the area of retailing. There is also a fourth CPM element - CPM applications, but a detailed description is not covered by this work. The aim of this thesis is mainly to define the basic (core) processes in retailing and describe their characteristics using informatics approaches. Each process is then assigned to managerial methods that can be used in evaluating the performance of these processes and to specific examples of metrics for which appropriate dimensions are further defined. The main contribution of this work is the analysis of processes in the retailing industry, using methods and approaches used in informatics - characteristics such as purpose of the process, events that trigger the process, inputs and outputs of the process and metrics, which are assigned to the corresponding dimensions, are defined for each process.
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Štarha, Jan. "Hodnocení výkonnosti dodavatelského řetězce u společnosti Dahlhausen CZ., s.r.o." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-223861.

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The diploma thesis deals with the performance measurement in supply chains. Performs analysis of the supply chain of Dahlhausen CZ, s.ro. Detail is then focused on the creation of a new framework for evaluating the performance of suppliers of this company.
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Shpilka, Tetyana. "Návrh a implementace systému Innovation Scorecard za účelem měření úspěchu inovace ve společnosti Red Hat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417397.

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Tato diplomová práce představuje návrh a implementaci řídicího systému známého jako Innovation Scorecard, který byl zaveden a aplikován v rámci společnosti Red Hat Czech s.r.o. Účelem bylo vylepšení současného modu operandi společnosti se zvláštním důrazem na zlepšení vývoje a implementačních procesů softwaru. Hlavní zaměření práce je především na měření toho, jak úspěšný byl jakýkoli navrhovaný inovativní způsob práce. Diplomová práce je rozdělena do tří částí. První část obsahuje základní znalosti, které jsou důležité pro pochopení konkrétního tématu výzkumu. Druhá část diplomové práce popisuje společnost a umožňuje tak pochopení interních procesů a systémů v rámci firmy. Třetí část obsahuje související návrhy, jak zlepšit vnitřní procesy. To je založeno na analýze s hlavním zaměřením na to, jak společnost v současné době funguje.
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Ramos, Rommel Gabriel Gonçalves. "Gestão de projetos: o monitoramento e controle nos processos de desenvolvimento de software." Pontifícia Universidade Católica de São Paulo, 2014. https://tede2.pucsp.br/handle/handle/18141.

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Made available in DSpace on 2016-04-29T14:23:26Z (GMT). No. of bitstreams: 1 Rommel Gabriel Goncalves Ramos.pdf: 1268874 bytes, checksum: a50dd4bc0953f7bc2dc15b68d9594492 (MD5) Previous issue date: 2014-03-07
The purpose of this research is to investigate the existing difficulty in applying the activity of monitoring and control in the processes of software development, presenting tools and indicators that can help to their constant use. Although the processes of software developments indicate activities related to monitoring and control in project management are still lacking in the effective use of these activities. In the case study will address the monitoring and control over the processes of software development, emphasizing the use of indicators of productivity of a company by performing a measurement on the performance of deliveries in software production activities
O propósito desta pesquisa é investigar a dificuldade existente na aplicação da atividade de monitoramento e controle nos processos de desenvolvimento de software, apresentando ferramentas e indicadores que podem auxiliar a sua utilização constante. Apesar dos processos de desenvolvimentos de software indicar atividades ligadas ao monitoramento e controle, na gestão de projetos ainda há uma carência no uso efetivo dessas atividades. No estudo de caso será abordado o monitoramento e controle sobre os processos de desenvolvimento de software, destacando a utilização de indicadores de produtividade de uma empresa, realizando uma mensuração quanto ao desempenho das atividades de entregas realizadas na produção de software
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Razroev, Stanislav. "AUTOMATED OPTIMAL FORECASTING OF UNIVARIATE MONITORING PROCESSES : Employing a novel optimal forecast methodology to define four classes of forecast approaches and testing them on real-life monitoring processes." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-165990.

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This work aims to explore practical one-step-ahead forecasting of structurally changing data, an unstable behaviour, that real-life data connected to human activity often exhibit. This setting can be characterized as monitoring process. Various forecast models, methods and approaches can range from being simple and computationally "cheap" to very sophisticated and computationally "expensive". Moreover, different forecast methods handle different data-patterns and structural changes differently: for some particular data types or data intervals some particular forecast methods are better than the others, something that is usually not known beforehand. This raises a question: "Can one design a forecast procedure, that effectively and optimally switches between various forecast methods, adapting the forecast methods usage to the changes in the incoming data flow?" The thesis answers this question by introducing optimality concept, that allows optimal switching between simultaneously executed forecast methods, thus "tailoring" forecast methods to the changes in the data. It is also shown, how another forecast approach: combinational forecasting, where forecast methods are combined using weighted average, can be utilized by optimality principle and can therefore benefit from it. Thus, four classes of forecast results can be considered and compared: basic forecast methods, basic optimality, combinational forecasting, and combinational optimality. The thesis shows, that the usage of optimality gives results, where most of the time optimality is no worse or better than the best of forecast methods, that optimality is based on. Optimality reduces also scattering from multitude of various forecast suggestions to a single number or only a few numbers (in a controllable fashion). Optimality gives additionally lower bound for optimal forecasting: the hypothetically best achievable forecast result. The main conclusion is that optimality approach makes more or less obsolete other traditional ways of treating the monitoring processes: trying to find the single best forecast method for some structurally changing data. This search still can be sought, of course, but it is best done within optimality approach as its innate component. All this makes the proposed optimality approach for forecasting purposes a valid "representative" of a more broad ensemble approach (which likewise motivated development of now popular Ensemble Learning concept as a valid part of Machine Learning framework).
Denna avhandling syftar till undersöka en praktisk ett-steg-i-taget prediktering av strukturmässigt skiftande data, ett icke-stabilt beteende som verkliga data kopplade till människoaktiviteter ofta demonstrerar. Denna uppsättning kan alltså karakteriseras som övervakningsprocess eller monitoringsprocess. Olika prediktionsmodeller, metoder och tillvägagångssätt kan variera från att vara enkla och "beräkningsbilliga" till sofistikerade och "beräkningsdyra". Olika prediktionsmetoder hanterar dessutom olika mönster eller strukturförändringar i data på olika sätt: för vissa typer av data eller vissa dataintervall är vissa prediktionsmetoder bättre än andra, vilket inte brukar vara känt i förväg. Detta väcker en fråga: "Kan man skapa en predictionsprocedur, som effektivt och på ett optimalt sätt skulle byta mellan olika prediktionsmetoder och för att adaptera dess användning till ändringar i inkommande dataflöde?" Avhandlingen svarar på frågan genom att introducera optimalitetskoncept eller optimalitet, något som tillåter ett optimalbyte mellan parallellt utförda prediktionsmetoder, för att på så sätt skräddarsy prediktionsmetoder till förändringar i data. Det visas också, hur ett annat prediktionstillvägagångssätt: kombinationsprediktering, där olika prediktionsmetoder kombineras med hjälp av viktat medelvärde, kan utnyttjas av optimalitetsprincipen och därmed få nytta av den. Alltså, fyra klasser av prediktionsresultat kan betraktas och jämföras: basprediktionsmetoder, basoptimalitet, kombinationsprediktering och kombinationsoptimalitet. Denna avhandling visar, att användning av optimalitet ger resultat, där optimaliteten för det mesta inte är sämre eller bättre än den bästa av enskilda prediktionsmetoder, som själva optimaliteten är baserad på. Optimalitet reducerar också spridningen från mängden av olika prediktionsförslag till ett tal eller bara några enstaka tal (på ett kontrollerat sätt). Optimalitet producerar ytterligare en nedre gräns för optimalprediktion: det hypotetiskt bästa uppnåeliga prediktionsresultatet. Huvudslutsatsen är följande: optimalitetstillvägagångssätt gör att andra traditionella sätt att ta hand om övervakningsprocesser blir mer eller mindre föråldrade: att leta bara efter den enda bästa enskilda prediktionsmetoden för data med strukturskift. Sådan sökning kan fortfarande göras, men det är bäst att göra den inom optimalitetstillvägagångssättet, där den ingår som en naturlig komponent. Allt detta gör det föreslagna optimalitetstillvägagångssättetet för prediktionsändamål till en giltig "representant" för det mer allmäna ensembletillvägagångssättet (något som också motiverade utvecklingen av numera populär Ensembleinlärning som en giltig del av Maskininlärning).
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Books on the topic "Processes and metrics"

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Alexei, Lapkin, and Constable David 1958-, eds. Green chemistry metrics: Measuring and monitoring sustainable processes. [Ames, Iowa]: Blackwell Pub., 2008.

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Muir, Holly J. The librarian's guide to identifying work processes & developing metrics. Cincinnati, OH: Library Benchmarking International, 1993.

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Martin, Karen. Metrics-based process mapping: An Excel-based solution. New York: Productivity Press, 2008.

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Martin, Karen. Metrics-based process mapping: An Excel-based solution. New York: Productivity Press, 2008.

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Kreimeyer, Matthias. Complexity metrics in engineering design: Managing the structure of design processes. Heidelberg: Springer, 2011.

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Martin, Karen. Metrics-based process mapping: Identifying and eliminating waste in office and service processes. Boca Raton, FL: CRC Press, 2013.

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Guidelines for integrating management systems and metrics to improve process safety performance. Hoboken, New Jersey: John Wiley & Sons, 2015.

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Norman, Gethin Josiah. Metric semantics for reactive probabilistic processes. Birmingham: University of Birmingham, 1997.

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Carlsson, Niclas. Markov chains on metric spaces: Invariant measures and asymptotic behaviour. Åbo: Åbo Akademi University Press, 2005.

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Buldygin, V. V. Metric characterization of random variables and random processes. Providence, R.I: American Mathematical Society, 2000.

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Book chapters on the topic "Processes and metrics"

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Kreimeyer, Matthias, and Udo Lindemann. "Complexity Metrics for Design Processes." In Complexity Metrics in Engineering Design, 133–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20963-5_5.

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Kreimeyer, Matthias, and Udo Lindemann. "Complex processes in engineering design." In Complexity Metrics in Engineering Design, 9–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20963-5_1.

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Beningo, Jacob. "Software Quality, Metrics, and Processes." In Embedded Software Design, 151–78. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8279-3_6.

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Mendling, Jan. "Metrics for Processes in Healthcare." In Process Modeling and Management for Healthcare, 149–62. Boca Raton : Taylor & Francis, 2017. | Series: Chapman &: CRC Press, 2017. http://dx.doi.org/10.1201/b21884-6.

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Gray, Robert M. "Process Approximation and Metrics." In Probability, Random Processes, and Ergodic Properties, 263–94. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1090-5_9.

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Summers, Boyd L. "Quality Assurance Improvement with Metrics." In Effective Processes for Quality Assurance, 49–58. Boca Raton, FL : CRC Press, 2019.: Auerbach Publications, 2019. http://dx.doi.org/10.1201/9780429056062-7.

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Kreimeyer, Matthias, and Udo Lindemann. "Modeling the structure of design processes." In Complexity Metrics in Engineering Design, 101–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20963-5_4.

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Gray, Robert M. "Process Metrics and the Ergodic Decomposition." In Probability, Random Processes, and Ergodic Properties, 244–83. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4757-2024-2_8.

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Priese, Lutz. "Approaching fair computations by ultra metrics." In Semantics of Systems of Concurrent Processes, 420–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-53479-2_18.

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von Faber, Eberhard. "Measuring Information Security: Guidelines to Build Metrics." In ISSE 2009 Securing Electronic Business Processes, 17–26. Wiesbaden: Vieweg+Teubner, 2010. http://dx.doi.org/10.1007/978-3-8348-9363-5_2.

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Conference papers on the topic "Processes and metrics"

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Maciel, Teresa Maria De Medeiros, Luciano Do Rêgo Galvão, and Silvio Meira. "Application of Lean Metrics for Analysis and Improvement in Software Maintenance Processes." In XIII Simpósio Brasileiro de Qualidade de Software. Sociedade Brasileira de Computação - SBC, 2014. http://dx.doi.org/10.5753/sbqs.2014.15259.

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This paper presents an experience about software processes performance analysis, from the perspective of Lean experience through an analysis developed on maintenance projects of an software company. To develop this analysis, a study and selection of Lean metrics was conducted. These metrics will serve as guidance for carrying out the data collection and its analysis. This paper reports this experience presenting the adopted metrics, collecting and structuring data, calculation and representation of each metric, as well as analysis considering the information provided by the metrics. Opportunities for improvement are identified and recommendations are explained.
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Wang, Kuo, and Zhongjie Wang. "Novel Metrics for Social Collaboration Processes." In 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE). IEEE, 2021. http://dx.doi.org/10.1109/sose52839.2021.00022.

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Wright, Hyrum K. "Release engineering processes, models, and metrics." In the doctoral symposium for ESEC/FSE. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1595782.1595793.

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Aktunc, Ozgur. "Entropy Metrics for Agile Development Processes." In 2012 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2012. http://dx.doi.org/10.1109/issrew.2012.36.

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Yang, Q. Z., and Fengyu Yang. "Sustainability Metrics for Waste Management." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48117.

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This paper explores techniques in sustainability metrics modeling and metrics-driven scenarios analysis to evaluate and improve process performance in sustainable waste management. The sustainability is measured along the triple bottom line. Model-based metrics for quantifying environmental impacts, societal implications, and economic profitability of material recovery processes are developed as functions of processing technology choices, key operating parameters, and material market conditions. Process scenarios are analyzed based on the metric models developed to provide a series of reference points for process performance improvement. The results have provided recyclers with a solid understanding of the factors affecting sustainability in waste management, and facilitated them to make and justify sustainability decisions in sustainable recovery of materials from industrial wastes.
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Kunkle, Claire M., and Van P. Carey. "Metrics for Quantifying Surface Wetting Effects on Vaporization Processes at Nanostructured Hydrophilic Surfaces." In ASME 2016 Heat Transfer Summer Conference collocated with the ASME 2016 Fluids Engineering Division Summer Meeting and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ht2016-7203.

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A static contact angle is most often used as a means of quantifying the wetting characteristics of the liquid phase in vaporization processes at a solid surface. This metric is often convenient to measure and intuitive in its interpretation, but when a surface is superhydrophilic, the resulting low contact angles are difficult to measure accurately from photographs of sessile droplet profiles or contact line regions. For droplets at ultra low contact angles, small changes of contact angle can produce very large changes in wetted surface area, which makes small uncertainties in contact angle result in large uncertainties in wetted area. For hydrophilic nanostructured surfaces, another disadvantage is that the relationship of the macroscopic (apparent) contact angle to the nanoscale interaction of the liquid and vapor contact line with the nanostructured surface is not always clear. In this study, a new wetting metric based on spreading characteristics of sessile droplets is proposed that can be easily measured for hydrophilic surfaces. This metric also has the advantage that it is a more direct and sensitive indicator of how a droplet spreads on the surface. The spread area directly impacts heat transfer interactions between the droplet and the surface, therefore affecting evaporation time. Consequently, a metric that more directly illustrates the spread area provides an indication of how the wetting will affect these mechanisms. Use of the proposed new metric is explored in the context of evaporation and boiling applications with superhydrophilic surfaces. Characteristics of this metric are also compared to static contact angle and other choices of wetting metrics suggested in earlier studies, such as dynamic advancing and receding contact angles, and spreading coefficients. The effects of nanoscale structure and/or roughness on the proposed wetting metric are analyzed in detail. A model is developed that predicts the dependence of the proposed wetting parameter on intrinsic material wettability for rough, nano-structured surfaces. The model results demonstrate that the proposed metric is a more sensitive indicator of macroscopic wetting behavior than apparent contact angle when the surface is superhydrophilic. This characteristic of the proposed new metric is shown to have advantages over other wetting metrics in the specific case of superhydrophilic nanostructured surfaces. Application of the proposed wetting metric is demonstrated for some example nanostructured surfaces. The results of our study indicate that this proposed new metric can be particularly useful for characterizing the effects of variable wetting on vaporization processes on highly wetted nanostructured surfaces.
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Harbeck, Daniel R., Annie Kirby, Lindy Lindstrom, Nikolaus H. Volgenau, and Mark Bowman. "Informing observatory operations with accessible telemetry and automated performance metrics." In Observatory Operations: Strategies, Processes, and Systems IX, edited by Chris R. Benn, Robert L. Seaman, and David S. Adler. SPIE, 2022. http://dx.doi.org/10.1117/12.2630447.

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Seeliger, Alexander, Timo Nolle, and Max Mühlhäuser. "Detecting Concept Drift in Processes using Graph Metrics on Process Graphs." In S-BPM ONE '17: Conference on Subject-orientied Business Process Management. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3040565.3040566.

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Bilow, Steven C., Doug Lea, Karl Freburger, and Dennis de Champeaux. "Processes and metrics for object-oriented software development." In Addendum to the proceedings. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/260303.260337.

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"A METAMODEL INTEGRATION FOR METRICS AND PROCESSES CORRELATION." In 5th International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003039300630068.

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Reports on the topic "Processes and metrics"

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Perdigão, Rui A. P. Information physics and quantum space technologies for natural hazard sensing, modelling and prediction. Meteoceanics, September 2021. http://dx.doi.org/10.46337/210930.

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Disruptive socio-natural transformations and climatic change, where system invariants and symmetries break down, defy the traditional complexity paradigms such as machine learning and artificial intelligence. In order to overcome this, we introduced non-ergodic Information Physics, bringing physical meaning to inferential metrics, and a coevolving flexibility to the metrics of information transfer, resulting in new methods for causal discovery and attribution. With this in hand, we develop novel dynamic models and analysis algorithms natively built for quantum information technological platforms, expediting complex system computations and rigour. Moreover, we introduce novel quantum sensing technologies in our Meteoceanics satellite constellation, providing unprecedented spatiotemporal coverage, resolution and lead, whilst using exclusively sustainable materials and processes across the value chain. Our technologies bring out novel information physical fingerprints of extreme events, with recently proven records in capturing early warning signs for extreme hydro-meteorologic events and seismic events, and do so with unprecedented quantum-grade resolution, robustness, security, speed and fidelity in sensing, processing and communication. Our advances, from Earth to Space, further provide crucial predictive edge and added value to early warning systems of natural hazards and long-term predictions supporting climatic security and action.
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Blume-Kohout, Robin J., and Kevin Young. Metrics and Benchmarks for Quantum Processors: State of Play. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1493362.

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Runion, Kyle, Safra Altman, and Elizabeth Murray. Analytic methods for establishing restoration trajectories. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45562.

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This special report identifies metrics (standard and novel) and analytic approaches to developing trajectories and then describes the conceptual process of using those metrics and approaches to develop restoration trajectories to inform adaptive management in salt-marsh systems. We identify the composite time series trajectory (CTST) approach, in which metrics are measured from restoration sites of different ages within a small spatial range, and the retrospective single-site trajectory (RSST) approach, in which the same restoration metrics are measured over time at one restoration site. In all, we assessed the metrics of 39 studies of salt-marsh restoration in the United States between 1991 and 2019.
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Andres, Don. Software Project Management Using Effective Process Metrics: The CCPDS-R Experience. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada242965.

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Jordan, Gretchen B., Randall D. Watkins, Timothy Guy Trucano, Alan Richard Burns, and Peter Oelschlaeger. Description of the Sandia National Laboratories science, technology & engineering metrics process. Office of Scientific and Technical Information (OSTI), April 2010. http://dx.doi.org/10.2172/984166.

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Price, Roz. Links Between Energy Prices, Fuel Subsidy Reform and Instability. Institute of Development Studies (IDS), February 2022. http://dx.doi.org/10.19088/k4d.2022.023.

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Increasingly, the links between energy insecurity (including energy prices, availability, and fuel subsidy reform) and instability are being studied. These issues often become flashpoints for social mobilisation and protest. Previous research has started to explore different types of fuel-related conflict and its relationship with scarcity, abundance, and energy prices but the research is fragmented. Much of this existing research focuses on a possible link between oil and armed conflict and rebellion, rather than on fuel prices as a source of intra-state instability below the level of armed conflict. It is argued that this research gap is important as these protests often have the potential to escalate into broader political movements, and the pressures to reduce reliance on carbon-heavy fuels through increased taxation or the reduction of subsidies is increasing. This rapid review provides an overview of the evidence on the links between energy prices, subsidy reforms and the risk of instability. It first highlights these links and discusses the literature, and then provides some brief evidence on recommendations and lessons learned on managing the impact of subsidy reform processes. The review was unable to identify any indicators of risk or quantitative metrics for appraising energy-related instability, apart from the unique fuel riots database created by Natalini et al. (2020). This rapid review takes a wide view of “instability” and what that means.
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Lozier, M. S. Toward Realistic Modeling of a Shelfbreak Front: Lagrangian Metrics and Process Studies for the Middle Atlantic Bight. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada628063.

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Lozier, M. S. Toward Realistic Modeling of a Shelfbreak Front: Lagrangian Metrics and Process Studies for the Middle Atlantic Bight. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada629177.

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Lenahan, Jack. An Abstract Process and Metrics Model for Evaluating Unified Command and Control: A Scenario and Technology Agnostic Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada465999.

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Ke, Jian-yu, Fynnwin Prager, Jose Martinez, and Chris Cagle. Achieving Excellence for California’s Freight System: Developing Competitiveness and Performance Metrics; Incorporating Sustainability, Resilience, and Workforce Development. Mineta Transportation Institute, December 2021. http://dx.doi.org/10.31979/mti.2021.2023.

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This study explores the question of whether California's freight system is staying competitive with other US regions. A novel analytical framework compares supply chain performance metrics across multiple US states and regions for seaports, airports, highways, freight rail service, and distribution centers by combining the Performance Evaluation Matrix (PEM), Competitive Position Matrix (CPM), and Business Process Management (BPM) approaches. Analysis of industry data and responses from structured interviews with 30 freight industry experts across 5 transportation sectors suggests that California's freight system is competitive for seaports, airports, and freight rail; however, highways and distribution centers have room for improvement with respect to travel time reliability and operation costs, and California should prioritize infrastructure investments here. To stay competitive with the Texas and North East regions, state investments could also expand seaport container terminals and air cargo handling facilities, improve intermodal port connections and management of flows of chassis, container trucks, empty containers to ameliorate cargo backlogs and congestion on highways, at the ports, and at warehouses. The state could also invest in inland ports, transporting goods by rail directly from seaports to the Inland Empire or Central Valley.
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