Search results
Results from the WOW.Com Content Network
JSHint is a static code analysis tool used in software development for checking if JavaScript source code complies with coding rules. [1] JSHint was created in 2011 by Anton Kovalyov as a fork of the JSLint project (by Douglas Crockford). [2] [3] Anton and others felt JSLint was getting "too opinionated", and did not allow enough customization ...
Both JSLint and JSHint were lacking the ability to create additional rules for code quality and coding style. [3] After contributing to JSHint, Zakas decided to create a new linting tool in June 2013, ESLint (originally called JSCheck, but renamed a month later), where all rules are configurable, and additional rules can be defined or loaded at run-time.
time (Unix) - can be used to determine the run time of a program, separately counting user time vs. system time, and CPU time vs. clock time. [1] timem (Unix) - can be used to determine the wall-clock time, CPU time, and CPU utilization similar to time (Unix) but supports numerous extensions.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
In order to perform a profitability analysis, all costs of an organisation have to be allocated to output units by using intermediate allocation steps and drivers. This process is called costing. When the costs have been allocated, they can be deducted from the revenues per output unit. The remainder shows the unit margin of a product, client ...
For instance, the Estimation of Distribution Algorithms guarantees the generation of valid algorithms by the directed acyclic graph (DAG), in which nodes represent procedures (building block) and edges represent possible execution sequences between two nodes. Building Blocks determine the EDA's alphabet or, in other words, any generated algorithm.
Cross-validation is the process of assessing how the results of a statistical analysis will generalize to an independent data set. If the model has been estimated over some, but not all, of the available data, then the model using the estimated parameters can be used to predict the held-back data.
Runtime verification can be used for many purposes, such as security or safety policy monitoring, debugging, testing, verification, validation, profiling, fault protection, behavior modification (e.g., recovery), etc. Runtime verification avoids the complexity of traditional formal verification techniques, such as model checking and theorem ...