Predictive Mutation Testing

Problems of Mutation Testing and Higher Order Mutation Testing

Since Mutation Testing was proposed in the 1970s, it has been considered as an effective technique of software testing process for evaluating the quality of the test data. In other words, Mutation Testing is used to evaluate the fault detection capability of the test data by inserting errors into the original program to generate mutations, and after then check whether tests are good enough to d...

Predictive Genetic Testing

Testing Predictive Developmental Hypotheses.

Predictive developmental hypotheses play a crucial role in developmental theories. These hypotheses link early developmental behaviors or processes to later developmental outcomes. Empirical tests of predictive developmental hypotheses are generally based on standard regression models. It is argued that hierarchical linear models or longitudinal multilevel models offer a better alternative. A m...

Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling

Testing (conditional) independence of multivariate random variables is a task central to statistical inference and modelling in general though unfortunately one for which to date there does not exist a practicable workflow. State-of-art workflows suffer from the need for heuristic or subjective manual choices, high computational complexity, or strong parametric assumptions. We address these pro...

Higher order mutation testing

This paper introduces a new paradigm for Mutation Testing, which we call Higher Order Mutation Testing (HOM Testing). Traditional Mutation Testing considers only first order mutants, created by the injection of a single fault. Often these first order mutants denote trivial faults that are easily killed. Higher order mutants are created by the insertion of two or more faults. The paper introduce...