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In software engineering, code coverage, also called test coverage, is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high code coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected ...
In 2002 Sergiy Vilkomir proposed reinforced condition/decision coverage (RC/DC) as a stronger version of the MC/DC coverage criterion that is suitable for safety-critical systems. [ 7 ] [ 8 ] Jonathan Bowen and his co-author analyzed several variants of MC/DC and RC/DC and concluded that at least some MC/DC variants have superior coverage over ...
The Entertainment Software Rating Board (ESRB) is a self-regulatory organization that assigns age and content ratings, enforces industry-adopted advertising guidelines, and ensures responsible online privacy principles for computer and video games and other entertainment software in countries of North America. [47]
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts ( quants ). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management , investment management and other related finance ...
The "probability" in coverage probability is interpreted with respect to a set of hypothetical repetitions of the entire data collection and analysis procedure. In these hypothetical repetitions, independent data sets following the same probability distribution as the actual data are considered, and a confidence interval is computed from each ...
While full coverage can definitely provide greater financial security and peace of mind, you may be paying more than you need to. Learn what it is, how it works — and when you might not need it ...
These are the stories you liked, loved and shared the most in 2015.
The short interest ratio (also called days-to-cover ratio) [1] represents the number of days it takes short sellers on average to cover their positions, that is repurchase all of the borrowed shares. It is calculated by dividing the number of shares sold short by the average daily trading volume, generally over the last 30 trading days.