MODE: automated neural network model debugging via state differential analysis and input selection
Artificial intelligence models are becoming an integral part of modern computing systems.
Just like software inevitably has bugs, models have bugs too, leading to poor classification …
Just like software inevitably has bugs, models have bugs too, leading to poor classification …
Practical accuracy estimation for efficient deep neural network testing
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 …
critical to guarantee the correctness of DNN, ie, the accuracy of DNN in this work. However …
Predictive test selection
M Machalica, A Samylkin, M Porth… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Change-based testing is a key component of continuous integration at Facebook. However,
a large number of tests coupled with a high rate of changes committed to our monolithic …
a large number of tests coupled with a high rate of changes committed to our monolithic …
Hybrid regression test selection
L Zhang - Proceedings of the 40th International Conference on …, 2018 - dl.acm.org
Regression testing is crucial but can be extremely costly. Regression Test Selection (RTS)
aims to reduce regression testing cost by only selecting and running the tests that may be …
aims to reduce regression testing cost by only selecting and running the tests that may be …
Empirically evaluating readily available information for regression test optimization in continuous integration
Regression test selection (RTS) and prioritization (RTP) techniques aim to reduce testing
efforts and developer feedback time after a change to the code base. Using various …
efforts and developer feedback time after a change to the code base. Using various …
Empirically revisiting and enhancing IR-based test-case prioritization
Test-case prioritization (TCP) aims to detect regression bugs faster via reordering the tests
run. While TCP has been studied for over 20 years, it was almost always evaluated using …
run. While TCP has been studied for over 20 years, it was almost always evaluated using …
[HTML][HTML] Can we trust tests to automate dependency updates? a case study of java projects
J Hejderup, G Gousios - Journal of Systems and Software, 2022 - Elsevier
Developers are increasingly using services such as Dependabot to automate dependency
updates. However, recent research has shown that developers perceive such services as …
updates. However, recent research has shown that developers perceive such services as …
More precise regression test selection via reasoning about semantics-modifying changes
Regression test selection (RTS) speeds up regression testing by only re-running tests that
might be affected by code changes. Ideal RTS safely selects all affected tests and precisely …
might be affected by code changes. Ideal RTS safely selects all affected tests and precisely …
A framework for checking regression test selection tools
Regression test selection (RTS) reduces regression testing costs by re-running only tests
that can change behavior due to code changes. Researchers and large software …
that can change behavior due to code changes. Researchers and large software …
Reflection-aware static regression test selection
Regression test selection (RTS) aims to speed up regression testing by rerunning only tests
that are affected by code changes. RTS can be performed using static or dynamic analysis …
that are affected by code changes. RTS can be performed using static or dynamic analysis …