This study presents an experimental study comparing the testing quality of a Hybrid Testing (HT) process with the commonly used approaches in industry: Scripted Testing (ST) and Exploratory Testing (ET). The study was conducted in an international IT service company in Sweden with the involvement of six experienced testers. Two measures were used for comparison: 1) defect detection effectivenes...

Software testing is one of the most popular validation techniques in the software industry. Surprisingly, we can only find a few approaches to testing in the context of logic programming. In this paper, we introduce a systematic approach for dynamic testing that combines both concrete and symbolic execution. Our approach is fully automatic and guarantees full path coverage when it terminates. W...

introduction: the term dynamic assessment (da) refers to an assessment, by an active teaching process, of a child's perception, learning, thinking, and problem solving. the process is aimed at modifying an individual's cognitive functioning and observing subsequent changes in learning and problem-solving patterns within the testing situation. da has been advocated as an alternative an...

advanced high strength steels (ahss) have recently attracted great attention because of their superior mechanical properties. a modern group of these steels, known as twinning induced plasticity (twip) steels, shows a unique combination of strength and ductility even at high rates of strain. in order to examine the functionality of such steels in dynamic loading conditions, their mechanical beh...

Regression Testing is basically performed to identify and rectify the client problem after the implementation of software product in client environment. In such case, instead of performing the all testing stages in same way, an intelligent mechanism is been implemented to identify the optimized sequence of test generation. One of such approach is fault analysis based approach. It means the modu...

We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a piecewise constant prototype. The total number of segments in the prototypes, P , is chosen by the user and optimally distributed into the clusters via two dynamic programming algorithms.

This paper is a review of applications of delay differential equations to different areas of engineering science. Starting with a general overview of delay models, we present some recent results on the use of retarded, advanced and neutral delay differential equations. An emerging area for modeling with the help of delay equations is real-time dynamic substructuring, or hybrid testing. We intro...