As a result, she said, the five functions now performed by universities — teaching; providing a space for social interaction; testing students' knowledge and offering feedback in the form of grades; cultivating a reputation as a good place to learn; and certifying what graduates know through accreditation — will inevitably change.
While there are many combinatorial interaction testing strategies nowadays, few of them support constraints.
The first paper, "An algorithm for combinatorial interaction testing: definitions and rigorous evaluations" by Juliana Marino Balera and Valdivino Alexandre Santiago Júnior, introduces a greedy algorithm for unconstrained combinatorial interaction testing.
Covering arrays have a wide range of applications for experimental screening designs, particularly for software interaction testing.
Two-stage analyses of genome-wide association studies have been proposed as a means to improving power for designs including family-based association and gene-environment interaction testing.
Combinatorial Interaction Testing (CIT) approaches have drawn attention of the software testing community to generate sets of smaller, efficient, and effective test cases where they have been successful in detecting faults due to the interaction of several input parameters.
One of the approaches to reduce the number of test cases is Combinatorial Interaction Testing (CIT) (Petke et al. 2015), also known as Combinatorial Testing (CT) (Kuhn et al. 2013; Schroeder and Korel 2000), Combinatorial Test Design (CTD) (Tzoref-Brill et al. 2016), or Combinatorial Designs (CD) (Mathur 2008).
A recent method for searching epistatic spaces with regression, Focused Interaction Testing Framework (FITF) [26], explicitly requires that main effects be present in multilocus models to be detected.
Nuclei within this circuit are known to mediate behavioral responses induced by social defeat [8], [21], [22], so we examined indirect markers of brain activity in these nuclei following social interaction testing.
Potential effect modification was explored using stratified analyses and multiplicative interaction testing.
Interaction testing indicated effect modification for the specific combination of no reported hand preference and poorer motor performance.
