Abstract: The empirical assessment of test techniques plays an important role in software testing research. One common practice is to instrument faults, either manually or by using mutation operators.

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MOBSTA is a robustness testing tool for ROS that tests autonomous systems under realistic but rare conditions that are not represented in training data and difficult to replicate during field testing.

This article was co-authored by Dr. Anand Nayyar, professor and vice chairman (research) from Duy Tan University, Vietnam. The emergence of artificial intelligence (AI) has fundamentally reshaped ...

In a big leap for genomics, Google on Wednesday unveiled a powerful AI model that predicts how single DNA mutations affect the complex machinery regulating gene activity. Named AlphaGenome, the tool ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Abstract: Mutation testing is a potentially effective method to assess test suite adequacy. Researchers have made mutation testing more computationally efficient, and new frameworks are regularly ...

How can we build such testing bots? To create tests for some software, a testing bot first must be able to interact with it—that is, produce inputs, examine outputs, relate these to the inputs, and ...

This article examines testing in the realm of AI systems, focusing on one aspect of this challenge: namely, the quality of the test data (data on which an ML model is evaluated) in deep-learning ...

Targeted mutagenesis of a promoter or gene is essential for attaining new functions in microbial and protein engineering efforts. In the burgeoning field of synthetic biology, heterologous genes are ...