Hypothesis testing is a key part of empirical science and multiple testing as well as the combination of evidence from several tests are continued areas of research. In this article we consider the problem of combining the results of multiple hypothe...
Hybrid testing combines fuzz testing and concolic execution. It leverages fuzz testing to test easy-to-reach code regions and uses concolic execution to explore code blocks guarded by complex branch conditions. However, its code coverage-centric desi...
We study the problem of distribution testing when the samples can only be accessed using a locally differentially private mechanism and focus on two representative testing questions of identity (goodness-of-fit) and independence testing for discrete...
May and must testing were introduced by De Nicola and Hennessy to define semantic equivalences on processes. May-testing equivalence exactly captures safety properties, and must-testing equivalence liveness properties. This paper proposes reward test...
Genetic testing, also known as DNA testing, is used to identify changes in DNA sequence or chromosome structure. Genetic testing can also include measuring
With the advent of WWW and outburst in technology and software development, testing the software became a major concern. Due to the importance of the testing phase in a software development life cycle, testing has been divided into graphical user int...
Following along Corey Schafer's Youtube Tutorials to practice how to unit-test my code using the unittest module. Unit testing will allow me to be more comfortable with refactoring and knowing whether or not my updates broke any of my existing code. Unit testing is a must on any…
There has been a significant amount of interest regarding the use of diversity-based testing techniques in software testing over the past two decades. Diversity-based testing (DBT) technique uses similarity metrics to leverage the dissimilarity betwe...
For many years, philosopher-of-statistics Deborah Mayo has been advocating the concept of severe testing as a key part of hypothesis testing. Her recent book, Statistical Inference as Severe Testing, is a comprehensive exposition of her arguments in...
Nov 6, 2025 · Imagine testing a car. Happy path testing confirms that it drives smoothly on a clear road. Sad path testing checks what happens when it skids, hits a bump, or loses traction.
Detection of rare traits or diseases in a large population is challenging. Pool testing allows covering larger swathes of population at a reduced cost, while simplifying logistics. However, testing precision decreases as it becomes unclear which memb...
MANUAL MUSCLE TESTING (MMT) Manual Muscle Testing 16 muscle groups/ motions will be tested (not individual muscles). 14 of these are tested bilaterally. Grading will be based on the isometric …
LLM agents are increasingly deployed to plan, retrieve, and write with tools, yet evaluation still leans on static benchmarks and small human studies. We present the Agent-Testing Agent (ATA), a meta-agent that combines static code analysis, designer...
The multi-faceted contributions of Dr. Peter Scheglov (1932-2002) in the area of site testing are briefly reviewed. He discovered and studied astronomical sites in the Central Asia, developed new site-testing instruments, promoted new methods and tec...