The increasing importance of software measurement has led to development of new software measures. Many metrics have been proposed related to various constructs like class, coupling, cohesion, inheritance, information hiding and polymorphism. But there is a little understanding of the empirical hypotheses and application of many of these measures. It is often difficult to determine which metric...

Metrics typically used to report the performance of an early warning score (EWS), such as the area under the receiver operator characteristic curve or C-statistic, are not useful for pre-implementation analyses. Because physiological deterioration has an extremely low prevalence of 0.02 per patient-day, these metrics can be misleading. We discuss the statistical reasoning behind this statement ...

With the increasing application of Linked Open Data, assessing the quality of datasets by computing quality metrics becomes an issue of crucial importance. For large and evolving datasets, an exact, deterministic computation of the quality metrics is too time consuming or expensive. We employ probabilistic techniques such as Reservoir Sampling, Bloom Filters and Clustering Coefficient estimatio...

A rich and diverse set of potential bibliometric and scientometric predictors of research performance quality and importance are emerging today — from the classic metrics (publication counts, journal impact factors and individual article/author citation counts) to promising new online metrics such as download counts, hub/authority scores and growth/decay chronometrics. In and of themselves, how...

Minimising building life cycle energy consumption is becoming of paramount importance. Performance metrics tracking offers a clear and concise manner of relating design intent in a quantitative form. A methodology is discussed for storage and utilisation of these performance metrics through an Industry Foundation Classes (IFC) instantiated Building Information Model (BIM). The paper focuses on ...

Traditionally, area-minimization and speed-maximization were the only factors relative to a design's effectiveness that were measured. Low power, high-throughput, and computationally intensive circuits are also critical application domains\ In addition to these three design parameters; area, speed, and power, there are two design metrics, which have been of great importance to current designs. ...

Defect prediction is an important topic in software quality research. Statistical models for defect prediction can be built on project repositories. Project repositories store software metrics and defect information. This information is then matched with software modules. Naïve Bayes is a well known, simple statistical technique that assumes the ‘independence’ and ‘equal importance’ of features...

There are errors in the author affiliations. The affiliations should appear as shown here: Ana Wheelock, MSc; Anam Parand, PhD; Bruno Rigole, MSc; Angus Thomson, PhD; Marisa Miraldo, PhD; Charles Vincent, PhD; Nick Sevdalis, PhD Faculty of Medicine, Imperial College London, London, UK; Sanofi Pasteur, Lyon, France; Imperial College Business School, London, UK; Department of Experimental Psychol...

This paper presents a historical overview and current perspective of the Automated Neuropsychological Assessment Metrics (ANAM) test system. We discuss the history of its development along with a synopsis of the evolution of computerized testing that has occurred and led to ANAM over the past 30 years within the Department of Defense (DoD). We include a description of our current system and tes...