The Experts below are selected from a list of 167553 Experts worldwide ranked by ideXlab platform
Vassilios Tzerpos - One of the best experts on this subject based on the ideXlab platform.
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an Effectiveness Measure for software clustering algorithms
Workshop on Program Comprehension, 2004Co-Authors: Zhihua Wen, Vassilios TzerposAbstract:Selecting an appropriate software clustering algorithm that can help the process of understanding a large software system is a challenging issue. The Effectiveness of a particular algorithm may be influenced by a number of different factors, such as the types of decompositions produced, or the way clusters are named. In this paper, we introduce an Effectiveness Measure for software clustering algorithms based on Mojo distance, and describe an algorithm that calculates its value. We also present experiments that demonstrate its improved performance over previous Measures, and show how it can be used to assess the Effectiveness of software clustering algorithms.
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IWPC - An Effectiveness Measure for software clustering algorithms
Proceedings. 12th IEEE International Workshop on Program Comprehension 2004., 1Co-Authors: Zhihua Wen, Vassilios TzerposAbstract:Selecting an appropriate software clustering algorithm that can help the process of understanding a large software system is a challenging issue. The Effectiveness of a particular algorithm may be influenced by a number of different factors, such as the types of decompositions produced, or the way clusters are named. In this paper, we introduce an Effectiveness Measure for software clustering algorithms based on Mojo distance, and describe an algorithm that calculates its value. We also present experiments that demonstrate its improved performance over previous Measures, and show how it can be used to assess the Effectiveness of software clustering algorithms.
Yanfeng Ouyang - One of the best experts on this subject based on the ideXlab platform.
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Reliable Traffic Sensor Deployment Under Probabilistic Disruptions and Generalized Surveillance Effectiveness Measures
Operations Research, 2012Co-Authors: Yanfeng OuyangAbstract:Sensor systems as critical components of a transportation network provide a variety of real-time traffic surveillance information for traffic management and control. The deployment of sensors significantly affects their overall surveillance Effectiveness. This paper proposes a reliable sensor location model to optimize surveillance Effectiveness when sensors are subject to site-dependent probabilistic failures, and a general Effectiveness Measure is proposed to encompass most existing Measures needed for engineering practice e.g., flow volume coverage, vehicle-mile coverage, and squared error reduction. The problem is first formulated into a compact mixed-integer program, and we develop a variety of solution algorithms including a custom-designed Lagrangian relaxation algorithm and analyze their properties. We also propose alternative formulations including a continuum approximation model for single corridor problems and reliable fixed-charge sensor location models. Numerical case studies are conducted to test the performance of the proposed algorithms and draw managerial insights on how different parameter settings e.g., failure probability and spatial heterogeneity affect overall surveillance Effectiveness and the optimal sensor deployment.
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Reliable Traffic Sensor Deployment Under Probabilistic Disruptions and Generalized Surveillance Effectiveness Measures
2011Co-Authors: Yanfeng OuyangAbstract:Sensor systems have become critical components of a transportation network that provide a variety of real-time traffic surveillance information for traffic management and control. The deployment of sensors significantly affects their overall surveillance Effectiveness. This paper proposes a reliable sensor location model to optimize surveillance Effectiveness when sensors are subject to site-dependent probabilistic failures, and a general Effectiveness Measure is proposed to encompass most existing Measures needed for engineering practice (e.g., flow volume coverage, vehicle-mile coverage and squared error reduction). The problem is first formulated into a compact mixed-integer program, and the authors develop a variety of solution algorithms (including a custom-designed Lagrangian relaxation algorithm) and analyze their properties. The authors also propose alternative formulations including a continuum approximation model for single corridor problems and reliable fixed-charge sensor location models. Numerical case studies are conducted to test the performance of the proposed algorithms and draw managerial insights on how different parameter settings (e.g., failure probability and spatial heterogeneity) affect overall surveillance Effectiveness and the optimal sensor deployment.
Andre A. Konski - One of the best experts on this subject based on the ideXlab platform.
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Systematic Review of the Cost Effectiveness of Radiation Therapy for Prostate Cancer from 2003 to 2013
Applied Health Economics and Health Policy, 2014Co-Authors: Neha P. Amin, David J. Sher, Andre A. KonskiAbstract:Background Prostate cancer remains a prevalent diagnosis with a spectrum of treatment choices that offer similar oncologic outcomes but differing side effect profiles and associated costs. As the technology for prostate radiation therapy has advanced, its associated costs have escalated, thus making cost-Effectiveness analyses critical to assess the value of competing treatment options, including watchful waiting, surgery, brachytherapy, intensity-modulated radiation therapy (IMRT), 3D-conformal radiation therapy (3D-CRT), proton beam therapy (PBT), and stereotactic body radiation therapy (SBRT). Objective The aim of this systematic review was to identify articles that performed a cost-Effectiveness analysis on different radiation treatment options for localized prostate cancer, summarize their findings, and highlight the main drivers of cost Effectiveness. Methods A literature search was performed on two databases, PubMed and the Cost-Effectiveness Analysis Registry ( https://research.tufts-nemc.org/cear4 ), using search terms that included ‘prostate’, ‘cost Effectiveness prostate radiation’ and ‘cost analysis comparative Effectiveness prostate radiation’. Studies were included in this review if the cost data were from 2002 or later, and outcomes reported both cost and Effectiveness, preferably including a cost–utility analysis with the outcome of an incremental cost-Effectiveness ratio with quality-adjusted life-year (QALY) as the Effectiveness Measure. Results There were 14 articles between 2003 and 2013 that discussed cost Effectiveness of prostate radiotherapy in men over the age of 65. All but four of the papers were from the US; the others were from Canada and the UK. The majority of the papers used Markov decision analysis and estimated cost from a payer’s perspective, usually from Medicare reimbursement data. Assumptions for the model and utilities to calculate QALYs were estimated using published literature at the time of the analysis. Each analysis had a sensitivity analysis to compensate for the uncertainty of the model inputs. The main drivers of cost Effectiveness were the cost of the radiation treatment and the differential QALYs accrued because of different treatment-related morbidities. Brachytherapy was consistently found to be more cost effective when compared with surgery and other radiation treatment options. IMRT was cost effective when compared with 3D-CRT. PBT was not found to be cost effective in any of the analyses, mostly due to the high costs of PBT. SBRT was the newest technology that was analyzed, and it was also found to be cost effective compared with IMRT and PBT. Conclusions Cost-Effectiveness research of prostate radiation treatments allows patients, providers, and payers to better understand the true value of each treatment choice. Due to the variation in each of these analyses (e.g., costing, and disease and complication assumptions, etc.), it is difficult to generalize the results. One must be careful in drawing conclusions from these studies and extrapolating to individual patients, particularly with the clear utility dependence seen in the majority of these studies.
Zhihua Wen - One of the best experts on this subject based on the ideXlab platform.
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an Effectiveness Measure for software clustering algorithms
Workshop on Program Comprehension, 2004Co-Authors: Zhihua Wen, Vassilios TzerposAbstract:Selecting an appropriate software clustering algorithm that can help the process of understanding a large software system is a challenging issue. The Effectiveness of a particular algorithm may be influenced by a number of different factors, such as the types of decompositions produced, or the way clusters are named. In this paper, we introduce an Effectiveness Measure for software clustering algorithms based on Mojo distance, and describe an algorithm that calculates its value. We also present experiments that demonstrate its improved performance over previous Measures, and show how it can be used to assess the Effectiveness of software clustering algorithms.
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IWPC - An Effectiveness Measure for software clustering algorithms
Proceedings. 12th IEEE International Workshop on Program Comprehension 2004., 1Co-Authors: Zhihua Wen, Vassilios TzerposAbstract:Selecting an appropriate software clustering algorithm that can help the process of understanding a large software system is a challenging issue. The Effectiveness of a particular algorithm may be influenced by a number of different factors, such as the types of decompositions produced, or the way clusters are named. In this paper, we introduce an Effectiveness Measure for software clustering algorithms based on Mojo distance, and describe an algorithm that calculates its value. We also present experiments that demonstrate its improved performance over previous Measures, and show how it can be used to assess the Effectiveness of software clustering algorithms.
Dawn Stacey - One of the best experts on this subject based on the ideXlab platform.
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is quality of life a suitable Measure of patient decision aid Effectiveness sub analysis of a cochrane systematic review
Quality of Life Research, 2019Co-Authors: Claudia Rutherford, Madeleine King, Phyllis Butow, Anne Lyddiatt, Intissar Souli, Orlando Rincones, Dawn StaceyAbstract:Purpose Patient decision-aids (PtDAs) help patients make informed treatment decisions incorporating their values. Health-related quality of life (HRQOL) is sometimes an outcome of PtDA Effectiveness trials, but its suitability for this purpose is unclear. We sought to provide insights into this question by critically appraising how randomized controlled trials (RCTs) evaluating PtDA Effectiveness Measure and report HRQOL.
