Academic literature on the topic 'Metrics Program'

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Journal articles on the topic "Metrics Program"

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Volmar, Keith E., Shannon J. McCall, Ronald B. Schifman, Michael L. Talbert, Joseph A. Tworek, Keren I. Hulkower, Anthony J. Guidi, et al. "Professional Practice Evaluation for Pathologists: The Development, Life, and Death of the Evalumetrics Program." Archives of Pathology & Laboratory Medicine 141, no. 4 (April 1, 2017): 551–58. http://dx.doi.org/10.5858/arpa.2016-0275-cp.

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Context.— In 2008, the Joint Commission (JC) implemented a standard mandating formal monitoring of physician professional performance as part of the process of granting and maintaining practice privileges. Objective.— To create a pathology-specific management tool to aid pathologists in constructing a professional practice-monitoring program, thereby meeting the JC mandate. Design.— A total of 105 College of American Pathologists (CAP)–defined metrics were created. Metrics were based on the job descriptions of pathologists' duties in the laboratory, and metric development was aided by experience from the Q-Probes and Q-Tracks programs. The program was offered in a Web-based format, allowing secure data entry, customization of metrics, and central data collection for future benchmarking. Results.— The program was live for 3 years, with 347 pathologists subscribed from 61 practices (median, 4 per institution; range, 1–35). Subscribers used 93 of the CAP-defined metrics and created 109 custom metrics. The median number of CAP-defined metrics used per pathologist was 5 (range, 1–43), and the median custom-defined metrics per pathologist was 2 (range, 1–5). Most frequently, 1 to 3 metrics were monitored (42.7%), with 20% each following 4 to 6 metrics, 5 to 9 metrics, or greater than 10 metrics. Anatomic pathology metrics were used more commonly than clinical pathology metrics. Owing to low registration, the program was discontinued in 2016. Conclusions.— Through careful vetting of metrics it was possible to develop a pathologist-specific management tool to address the JC mandate. While this initial product failed, valuable metrics were developed and implementation knowledge was gained that may be used to address new regulatory requirements for emerging value-based payment systems.
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Burgess, Hayley, Joan Kramer, Elizabeth Hofammann, and Mandelin Cooper. "Clinical Metrics for a Large Healthcare System’s Antimicrobial Management Program." Infection Control & Hospital Epidemiology 41, S1 (October 2020): s7. http://dx.doi.org/10.1017/ice.2020.478.

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Background: Clinical metrics and outcomes for evaluation of antimicrobial management programs (AMP) are challenging and inconsistent throughout the United States. Here, we present the results of the development of clinical metrics to measure and trend AMP outcomes within 161 acute-care facilities affiliated with a large healthcare system. Methods: Key AMP metrics were implemented in 2018 using 2017 as baseline: use of fluoroquinolones in UTIs, dosing of vancomycin, de-escalation, and intravenous (IV)-to-oral conversion of targeted drugs. Fluoroquinolone (FQ) and UTI metric evaluated all inpatients who received at least 1 dose of a FQ based on barcoded medication administration (BCMA) data and urinary tract infections were based on cystitis ICD-10 coding. Vancomycin dosing metric evaluated inpatient vancomycin troughs within therapeutic range during the admission. De-escalation metric evaluated for patients on a broad-spectrum antibiotic with a positive culture and sensitivity to narrower antibiotics. The IV-to-oral ratio was used to monitor targeted medications. Nonantimicrobial medications appropriate for IV-to- oral conversion were included in the ratio. Goals were established for each metric using the 75th percentile and ranges for “at goal,” “close to goal,” and “not at goal” were established using green–yellow–red color coding. Metrics were monitored via a systemwide dashboard that included all affiliated facilities. Data were shared monthly to key stakeholders including physicians, pharmacists, and senior leadership. Results: From 2017 to the third quarter of 2019, the FQ and UTI metric decreased 55%. This reduction in the FQ usage in UTI metric correlated with a reduction of 26.7 days of therapy (DOT) per 1,000 days present for FQ and a 50% reduction in FQ DOT for all affiliated facilities. The vancomycin dosing metric improved 2.9% from 75.2% of patients to 78.1% of patients with at least 1 vancomycin trough within range during the admission, which represents ~2,000 more patients with dosing in the target range over baseline. The de-escalation metric improved by 7% overall from 2018 to the third quarter of 2019, which translates to ~1,600 more patients with therapy de-escalated. The IV-to-oral ratio metric improved 5.5%, which means that ~180,000 more oral dosages were administered. Conclusions: Implementing AMP program clinical metrics in a large health system positively influenced antimicrobial medication therapy management for patients. Monitoring of process metrics should be considered for all AMP programs to advance antibiotic stewardship.Funding: NoneDisclosures: None
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Ramchandani, Chander, and Carolyn Buford. "IMPLEMENTING A SUCCESSFUL METRICS PROGRAM." INCOSE International Symposium 6, no. 1 (July 1996): 1036–42. http://dx.doi.org/10.1002/j.2334-5837.1996.tb02118.x.

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Dewland, Jason C., and Andrew See. "Notes on Operations: Patron Driven Acquisitions: Determining the Metrics for Success." Library Resources & Technical Services 59, no. 1 (January 23, 2015): 13. http://dx.doi.org/10.5860/lrts.59n1.13.

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Patron Driven Acquisition (PDA) programs have been established in many libraries, but there is no agreed upon set of metrics to evaluate the programs’ performance. With that in mind, the University of Arizona (UA) formed the On-Demand Information Delivery (ODID) Metrics Team in January 2012 to establish metrics to evaluate their PDA program. This paper examines the results of the team’s findings and provides an extensive analysis of the purchases by Library of Congress (LC) classification, publisher, format, etc. The discussion includes an analysis of the process and challenges of measuring a PDA program based on UA’s experience. This paper also provides a list of key metrics that the authors argue that every library with a PDA program should monitor.
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Jabbar. P, Abdul, and S. Sarala. "Advanced Program Complexity Metrics and Measurement." International Journal of Computer Applications 23, no. 2 (June 30, 2011): 29–33. http://dx.doi.org/10.5120/2860-3679.

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Zhang, Kang, and Narasimhaiah Gorla. "Locality metrics and program physical structures." Journal of Systems and Software 54, no. 2 (October 2000): 159–66. http://dx.doi.org/10.1016/s0164-1212(00)00059-5.

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Hyatt, Lawrence E., and Linda H. Rosenberg. "Software metrics program for risk assessment." Acta Astronautica 40, no. 2-8 (January 1997): 223–33. http://dx.doi.org/10.1016/s0094-5765(97)00148-3.

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Buckley, F. J. "Standards-establishing a standard metrics program." Computer 23, no. 6 (June 1990): 85–86. http://dx.doi.org/10.1109/2.55506.

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Fenick, S. "Implementing management metrics: an Army program." IEEE Software 7, no. 2 (March 1990): 65–72. http://dx.doi.org/10.1109/52.50775.

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Lynn, Marilyn, Douglas Bronson, and William Gunnar. "The impact of benchmarking operating room efficiency within the Veterans Health Administration." International Journal of Healthcare 5, no. 1 (October 28, 2018): 8. http://dx.doi.org/10.5430/ijh.v5n1p8.

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Purpose: The Department of Veterans Affairs (VA) provides surgical care and services through a network of Veterans Health Administration (VHA) Surgical Programs. This study examined the impact of benchmarking on improvements in VHA surgery program operating room efficiency.Methods: The VA National Surgery Office (NSO) developed the operating room (OR) Efficiency Matrix with four common metrics that characterize OR processes. The OR Efficiency Matrix assigned a performance level to each VHA Surgery Program identified in the NSO Quarterly Report. The NSO Quarterly Report provided ongoing and regular feedback allowing VHA Surgery Programs to develop action plans and improve performance.Results: Beginning with the Fiscal Year (FY) 2013 Quarter (Q) 2 NSO Quarterly Report, the NSO has been reporting to VHA Surgery Programs on the OR Efficiency Matrix through several tables and figures in the NSO Quarterly Report. Overall, raw metric rates have improved nationally, with most improvements coming in the metrics of OR first time starts and surgical case cancellation.Conclusions: The NSO developed and implemented the OR Efficiency Matrix, representing four well recognized metrics, to assess, track, and report OR efficiency at 137 VHA Surgery Programs. This internal benchmarking process and data reporting was associated with sustainable improvements in OR efficiency over time.
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Dissertations / Theses on the topic "Metrics Program"

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Hitchcock, T. L. "Metrics for object-oriented program control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0005/MQ46256.pdf.

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Robison, Dawn M. 1967. "Transformational metrics for product development." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/34724.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2001.
Includes bibliographical references (p. 113-116).
The research provides a case study of performance metrics within the framework of the product development process and team effectiveness. A comparative analysis of eight product development teams was done to evaluate the teams' effectiveness in achieving three outcomes - customer satisfaction, shareholder value and time to market. A survey was conducted to evaluate areas where no formal documentation existed and to supplement the existing historical data that were collected from databases and documents. The analysis was done on two levels - by program team and individual respondent - and looked at the level of performance and effort that influenced the specific outcomes. It was concluded that performance metrics are used within an organization to drive actions, to assess progress and to make decisions. Conclusions were consistent with the premise that people perform to how they are measured and that the team effectiveness can be driven by a set of performance metrics that are aligned with the strategic goal of the organization. Transformational metrics were developed within the framework of understanding the interdependence of the social and technical systems. Choosing the right metrics is critical to an organization's success because the metrics directly influence behavior and establish the culture within the firm. It was determined that if the right combinations of metrics are selected, teams will act in such a way as to maximize their effectiveness and behave in a manner that achieves the corporate goals.
by Dawn M. Robison.
S.M.
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Johnson, John H. (John Howard) 1965. "Metrics for a platform team." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88321.

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Dufour, Bruno. "Objective quantification of program behaviour using dynamic metrics." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81328.

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In order to perform meaningful experiments in optimizing compilation and runtime system design, researchers usually rely on a suite of benchmark programs of interest to the optimization technique under consideration. Programs are described as numeric, memory-intensive, concurrent, or object-oriented, based on a qualitative appraisal, in some cases with little justification.
In order to make these intuitive notions of program behaviour more concrete and subject to experimental validation, this thesis introduces a methodology to objectively quantify key aspects of program behaviour using dynamic metrics. A set of unambiguous, dynamic, robust and architecture-independent dynamic metrics is defined, and can be used to categorize programs according to their dynamic behaviour in five areas: size, data structures, memory use, polymorphism and concurrency. Each metric is also empirically validated.
A general-purpose, easily extensible dynamic analysis framework has been designed and implemented to gather empirical metric results. This framework consists of three major components. The profiling agent collects execution data from a Java virtual machine. The trace analyzer performs computations on this data, and the web interface presents the result of the analysis in a convenient and user-friendly way.
The utility of the approach as well as selected specific metrics is validated by examining metric data for a number of commonly used benchmarks. Case studies of program transformations and the consequent effects on metric data are also considered. Results show that the information that can be obtained from the metrics not only corresponds well with the intuitive notions of program behaviour, but can also reveal interesting behaviour that would have otherwise required lengthy investigations using more traditional techniques.
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Israel, Mark Abraham. "Heuristic program reorganization guided by object-oriented metrics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20976.pdf.

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Raiyani, Sangeeta. "Incorporating design metrics into a company-wide program." Virtual Press, 1990. http://liblink.bsu.edu/uhtbin/catkey/722468.

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Metrics calculated during the design phase of a software life-cycle can be used to predict the errors in the software project at an early stage, improve the overall software quality, and increase the efficiency of the software life-cycle.In this thesis, a design metric D(G) for the structure design G is presented. The need and importance of the design metric is shown, the metric is explained in detail, results are given and the solutions are presented to improve the design quality based on the results. A strategy is explained to implement the design metric into a company-wide program. The limitations of the metrics model are also given. A complete model of the software development life-cycle, incorporating the metrics is also presented.
Department of Computer Science
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Blackburn, Craig D. (Craig David) S. M. Massachusetts Institute of Technology. "Metrics for enterprise transformation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54657.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 148-161).
The objective of this thesis is to depict the role of metrics in the evolving journey of enterprise transformation. To this end, three propositions are explored: (i) metrics and measurement systems drive transformation, (ii) employee engagement is a proxy to gauge transformation progress; and (iii) metric considerations enable enterprise transformation when systematically executed as part of a transformation roadmap. To explore this problem, the aerospace measurement community was consulted to help grasp a better understanding of the context in which transformation is currently defined and measured. Once the problem space was defined, the environment of doing research with the enterprise as the unit of analysis was described with the intent of exploring the role of metrics and transformation. In particular, the performance measurement literature helped identify tools and methods used to select metrics to enable decision making at the enterprise level. After this review, two case studies were performed, considering: (1) the implementation of a bottom-up measurement system to drive transformation and (2) the effect of a top-down corporate measurement system on the enterprise. The first case study revealed insights regarding the benefits and challenges of implementing measurement systems and highlighted the use of employee engagement as a proxy to measure enterprise transformation. In the second case study, contemporary measurement issues were discussed and mapped to an Eight Views of the Enterprise analysis to identify critical enterprise interactions.
(cont.) Ultimately, the Lean Advancement Initiative's Enterprise Transformation Roadmap was used as a method for depicting how performance measurement can help enable enterprise transformation. The implications of research in metrics for enterprise transformation span across thee areas: (1) the extensive literature reviews provide an academic contribution for performing enterprise and measurement research; (2) a common language and framework for exploring measurement problems is depicted for practitioners through the case study analysis; and (3) a connection between enterprise measurement and enterprise transformation is established to drive future transformation success.
by Craig D. Blackburn.
S.M.
S.M.in Technology and Policy
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Russell, Keith A. (Keith Anthony) 1966. "Reengineering metrics systems for aircraft sustainment teams : a metrics thermostat for use in strategic priority management." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/29212.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and, (S.M.)--Massachusetts Institute of Technology, Technology and Policy Program, February, 2001.
Includes bibliographical references (p. 133-134).
We explore the selection of metrics for the United States Air Force weapon system sustainment team empirically with emphasis placed on the incentive, structural and predictive implications of metrics. We define the term "metric" to include measures that employees impact through their efforts. We believe that even in a not-for-profit organization such as the Air Force, by putting emphasis (or weight) on a performance metric, the organization establishes inherent incentive structures within which employees will act to maximize their best interests. However, we believe that not-for-profit organizations differ from for-profit ones in their inherent structure since profit becomes cost and several mission-oriented outcome variables share a fundamental importance in achieving the organizations goals. We seek an understanding of the structural composition of Air Force sustainment's metrics systems that, when coupled with a method for practical selection of a high-quality set of metrics (and weights), will align the incentives of employees with the interests of the organization. The empirical study is grounded in emerging theoretical work, which uses our above definition of a metric to purpose a theoretical metrics feedback construct called the Metrics Thermostat. System structure is explored through common correlation and regression analysis as well as more sophisticated structural equation modeling and systems dynamics techniques used to explore potential feedback loops. The F- 16 is used as a case study for this problem, and the metrics systems are considered from the front-line base-level point of view of Air Force active duty, Air National Guard and Air Force Reserve bases worldwide. 96 low-level metrics, covariates and outcomes were examined for 45 F- 16 bases for a period of five years. Outcome importance was determined through personal interviews and internal archival documentation. -- The metrics, covariates and outcomes in the study are very interrelated. -- The primary indicator of overall performance is Command (ACC, USAFE, etc.) -- Increased Fix Rate increases Utilization, but increased Utilization decreases Fix Rate. -- Cannibalization Rate is associated with higher Fix Rates but lower Mission Capability, Flying Scheduling Effectiveness, and Aircraft Utilization. -- Active duty Mission Capability is predicted well from the dataset such that: * Active duty commands have higher mission capability. * Mission Capability is slightly higher in cool moist climates. * Increased Aircraft Utilization, Repeat Discrepancies and Flying Scheduling Effectiveness are all associated with higher Mission Capability. * Increased Break Rates and Unscheduled (engine) Maintenance are associated with lower Mission Capability. The model appears to be valid for peacetime actions only.
by Keith A. Russell.
S.M.
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Sides, Steve P. (Steve Paul) 1963. "Driving robust jet engine design through metrics." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/88331.

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Day, Henry Jesse II. "An Investigation of Software Metrics Affect on Cobol Program Reliability." Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/30479.

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The purpose of this research was to predict a COBOL program's reliability from software characteristics that are found in the program's source code. The first step was to select factors based on the human information processing model that are associated with changes in computer program reliability. Then these factors (software metrics) were quantitatively studied to determine which factors affect COBOL program reliability. Then a statistical model was developed that predicts COBOL program reliability. Reliability was selected because the reliability of computer programs can be used by systems professionals and auditors to make decisions. Using the Human Information Processing Model to study the act of creating a computer program, several hypotheses were derived about program characteristics and reliability. These hypotheses were categorized as size, structure, and temporal hypotheses. These characteristics were then used to test several prediction models for the reliability of COBOL programs. Program characteristics were measured by a program called METRICS. METRICS was written by the author using the Pascal programming language. It accepts COBOL programs as input and produces as output seventeen measures of complexity. Actual programs and related data were then gathered from a large insurance company over the course of one year. The data were used to test the hypotheses and to find a model for predicting the reliability of COBOL programs. The operational definition for reliability was the probability of a program executing without abending. The size of a program, its cyclomatic complexity, and the number of times a program has been executed were used to predict reliability. A regression model was developed that predicted the reliability of a COBOL program from a program's characteristics. The model had a prediction error of 9.3%, a R2 of 15%, and an adjusted R2 of 13%. The most important thing learned from the research is that increasing the size of a program's modules, not the total size of a program, is associated with decreased reliability.
Ph. D.
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Books on the topic "Metrics Program"

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Grady, Robert B. Software metrics: Establishing a company-wide program. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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IT security governance guidebook with security program metrics on CD-ROM. Boca Raton, FL: Auerbach Publications/Taylor & Francis, 2007.

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Improving metrics for the Department of Defense Cooperative Threat Reduction Program. Washington, D.C: National Academies Press, 2012.

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New tools and metrics for evaluating Army distributed learning. Santa Monica, CA: RAND, 2011.

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Janicak, Christopher A. Safety metrics: Tools and techniques for measuring safety performance. 2nd ed. Lanham: Government Institutes, 2009.

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Romero, James S. Software metrics: A case analysis of the U.S. Army Bradley Fighting Vehicle A3 Program. Monterey, Calif: Naval Postgraduate School, 1998.

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North Carolina. General Assembly. Program Evaluation Division. The UNC system needs a more comprehensive approach and metrics for operational efficiency: Final report to the Joint Legislative Program Evaluation Oversight Committee. [Raleigh, North Carolina]: Program Evaluation Division, 2013.

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Adamov, Rade. Literature review on software metrics. [Hallbergmoos, Germany]: Angewandte InformationsTechnik, 1989.

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Adamov, Rade. Literature review on software metrics. Zürich: Institut für Informatik der Universität Zürich, 1987.

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Palmer, A. Jefferson. Foresters' metric conversions program (version 1.0). Radnor PA: USDA Forest Service, 1999.

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Book chapters on the topic "Metrics Program"

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Nathan, William Tierney. "Program Core Metrics." In Value Management in Healthcare, 249–59. Boca Raton : Taylor & Francis, 2018.: Productivity Press, 2017. http://dx.doi.org/10.1201/9781315102245-9.

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Martins, Pedro, Paulo Lopes, João P. Fernandes, João Saraiva, and João M. P. Cardoso. "Program and Aspect Metrics for MATLAB." In Computational Science and Its Applications – ICCSA 2012, 217–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31128-4_16.

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Vogelsang, Andreas, Ansgar Fehnker, Ralf Huuck, and Wolfgang Reif. "Software Metrics in Static Program Analysis." In Formal Methods and Software Engineering, 485–500. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16901-4_32.

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Jabbar, Abdul, and Sarala. "Authenticate Program Complexity Metrics Using RAA." In Communications in Computer and Information Science, 358–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25734-6_54.

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LeBlanc, Vicki. "Evaluation, Metrics, and Measuring ROI/VOI." In Comprehensive Healthcare Simulation: Program & Center Development, 123–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46812-5_17.

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Gaikovina Kula, Raula, Kyohei Fushida, Shinji Kawaguchi, and Hajimu Iida. "Analysis of Bug Fixing Processes Using Program Slicing Metrics." In Product-Focused Software Process Improvement, 32–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13792-1_5.

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Bodei, Chiara, Pierpaolo Degano, Gian-Luigi Ferrari, and Letterio Galletta. "Security Metrics at Work on the Things in IoT Systems." In From Lambda Calculus to Cybersecurity Through Program Analysis, 233–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41103-9_9.

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O’Connor, Peter. "Loyalty Programs and Direct Website Performance: An Empirical Analysis of Global Hotel Brands." In Information and Communication Technologies in Tourism 2021, 150–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_13.

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AbstractWith loyalty programs increasingly used as a competitive method by hotel brands, this study investigates the relationship between program size/satisfaction and brand direct website performance. Analyzing a unique database of loyalty program statistics, traffic levels/sources and engagement metrics from the top 50 global hotel brands, we find that size matters, with larger programs performing better in terms of both traffic and engagement, suggesting that efforts by hotel brands to grow membership are appropriate. Similarly, program satisfaction positively impacts both traffic levels and engagement, suggesting that brands should also focus on ensuring that existing members are happy with program benefits and operations. These findings are consistent irrespective of brand level, suggesting that all types of hotel brands can profit from leveraging loyalty programs.
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Prakash, Jyoti, Abhishek Tiwari, and Christian Hammer. "Effects of Program Representation on Pointer Analyses — An Empirical Study." In Fundamental Approaches to Software Engineering, 240–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_12.

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AbstractStatic analysis frameworks, such as Soot and Wala, are used by researchers to prototype and compare program analyses. These frameworks vary on heap abstraction, modeling library classes, and underlying intermediate program representation (IR). Often, these variations pose a threat to the validity of the results as the implications of comparing the same analysis implementation in different frameworks are still unexplored. Earlier studies have focused on the precision, soundness, and recall of the algorithms implemented in these frameworks; however, little to no work has been done to evaluate the effects of program representation. In this work, we fill this gap and study the impact of program representation on pointer analysis. Unfortunately, existing metrics are insufficient for such a comparison due to their inability to isolate each aspect of the program representation. Therefore, we define two novel metrics that measure these analyses’ precision after isolating the influence of class-hierarchy and intermediate representation. Our results establish that the minor differences in the class hierarchy and IR do not impact program analysis significantly. Besides, they reveal the sources of unsoundness that aid researchers in developing program analysis.
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Chamillard, A. T. "An exploratory study of program metrics as predictors of reachability analysis performance." In Software Engineering — ESEC '95, 343–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60406-5_24.

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Conference papers on the topic "Metrics Program"

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"Program Committee." In 11th IEEE International Software Metrics Symposium (METRICS'05). IEEE, 2005. http://dx.doi.org/10.1109/metrics.2005.39.

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"Message from the General and Program Chairs." In 11th IEEE International Software Metrics Symposium (METRICS'05). IEEE, 2005. http://dx.doi.org/10.1109/metrics.2005.34.

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Hamilton, William L. "Situation Awareness Metrics Program." In Aerospace Technology Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/871767.

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"Program committee." In 10th International Symposium on Software Metrics, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/metric.2004.1357883.

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"Program Committee." In 2011 Third International Workshop on Security Measurements and Metrics (Metrisec). IEEE, 2011. http://dx.doi.org/10.1109/metrisec.2011.6.

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Pan, Kai, Sunghun Kim, and E. Whitehead, Jr. "Bug Classification Using Program Slicing Metrics." In 2006 Sixth IEEE International Workshop on Source Code Analysis and Manipulation. IEEE, 2006. http://dx.doi.org/10.1109/scam.2006.6.

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Krstic, Marko, and Milan Bjelica. "Performance metrics for personalized program guides." In 2016 13th Symposium on Neural Networks and Applications (NEUREL). IEEE, 2016. http://dx.doi.org/10.1109/neurel.2016.7800131.

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Katzmarski, Bernhard, and Rainer Koschke. "Program complexity metrics and programmer opinions." In 2012 IEEE 20th International Conference on Program Comprehension (ICPC). IEEE, 2012. http://dx.doi.org/10.1109/icpc.2012.6240486.

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Harth, Eric, and Philippe Dugerdil. "Document Retrieval Metrics for Program Understanding." In FIRE '15: Forum for Information Retrieval Evaluation. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2838706.2838710.

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Ross, Christopher P. "Predicting production metrics for unconventional shale reservoirs." In SEG Technical Program Expanded Abstracts 2019. Society of Exploration Geophysicists, 2019. http://dx.doi.org/10.1190/segam2019-3210608.1.

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Reports on the topic "Metrics Program"

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Pacheco, Patricia Marie, Ashley Endo, Lynne Schleiffarth Burks, Brandon Walter Heimer, Charles Joseph John, Trisha Hoette Miller, and Nerayo P. Teclemariam. National Hurricane Program Metrics Framework. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1561817.

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SECRETARY OF THE AIR FORCE WASHINGTON DC. Information Protection Metrics and Measurements Program. Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada404998.

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10166209.

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/7233625.

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Craig, Philip A., J. Mortensen, and Jeffery E. Dagle. Metrics for the National SCADA Test Bed Program. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/963242.

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Cianciolo, Anna T. Program Evaluation Metrics for U.S. Army Lifelong Learning Centers. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada465470.

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None, None. Program analysis methodology Office of Transportation Technologies: Quality Metrics final report. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/1216587.

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Rice, Chris, and Robin Locksley. Establishing a Program for Applying Earned Value Metrics to Flight Test. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada375749.

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Patterson, P., J. Moore, M. Singh, and E. Steiner. Program analysis methodology Office of Transportation Technologies 2003 quality metrics final report. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/801658.

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Dickerson, L. S. DOE Safety Metrics Indicator Program (SMIP) Third Quarter FY 2001 Quarterly Report. Office of Scientific and Technical Information (OSTI), September 2001. http://dx.doi.org/10.2172/814292.

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