Context: Software regression testing refers to rerunning test cases after the system under
test is modified, ascertaining that the changes have not (re-) introduced failures. Not all …

Coverage-based fault localization has been extensively studied in the literature due to its
effectiveness and lightweightness for real-world systems. However, existing techniques …

Deep Neural Network (DNN) testing is one of the most widely-used ways to guarantee the
quality of DNNs. However, labeling test inputs to check the correctness of DNN prediction is …

Deep neural network (DNN) has become increasingly popular and DNN testing is very
critical to guarantee the correctness of DNN, ie, the accuracy of DNN in this work. However …

Test case prioritization (TCP) has been widely studied in regression testing, which aims to
optimize the execution order of test cases so as to detect more faults earlier. TCP has been …

Graph Neural Networks (GNNs) have achieved promising performance in a variety of
practical applications. Similar to traditional DNNs, GNNs could exhibit incorrect behavior that …

Deep learning (DL) Systems have been widely used in various domains. Similar to
traditional software, DL system evolution may also incur regression faults. To find the …

Software testing is undertaken to ensure that the software meets the expected requirements.
The intention is to find bugs, errors, or defects in the developed software so that they can be …

This article addresses the need of applying testing activities with the purpose of checking the
consistency and the correctness of distributed and dynamically adaptable systems whose …

Regression testing activities greatly reduce the risk of faulty software release. However, the
size of the test suites grows throughout the development process, resulting in time …