Context: Over the last decade, Agile methods have changed the software development
process in an unparalleled way and with the increasing popularity of Big Data, optimizing …

Context: Artificial intelligence (AI) methods and models have extensively been applied to
support different phases of the software development lifecycle, including software testing …

Artificial Intelligence (AI) is making a significant impact in multiple areas like medical,
military, industrial, domestic, law, arts as AI is capable to perform several roles such as …

Manual test case generation is an exhaustive and time-consuming process. However,
automated test data generation may reduce the efforts and assist in creating an adequate …

In software testing, generating test data is quite expensive and time-consuming. The manual
generation of an appropriately large set of test data to satisfy a specified coverage criterion …

We present a novel exploratory performance testing algorithm that uses supervised learning
to optimize the test suite generation process. The goal of the proposed approach is to …

Compared with traditional structural test criteria, test data generated based on mutation
testing are proved more effective at detecting faults. However, not all test data have the …

To improve the computation and real-time performances of the multiple signal classification
(MUSIC) algorithm in 3D space, a fast sound source localization method based on the bat …

Testing is a crucial part of the development of a new product. For software validation a
transformation from manual to automated tests can be observed which enables companies …

The security of an application is critical for its success, as breaches cause loss for
organizations and individuals. Search-based software security testing (SBSST) is the field …