Neural Network-Based Test Case Prioritization in Continuous Integration. In continuous integration environments, the execution of test cases is performed for every newly added feature or when a bug fix occurs. Therefore, regression testing is performed considering various testing strategies.
Abstract—In continuous integration environments, the execu- tion of test cases is performed for every newly added feature or when a bug fix occurs.
Oct 14, 2021 · Test prioritization is a method that can improve the efficiency of continuous integration testing by selecting test cases that can detect faults ...
The Test Case Prioritization (TCP) approach considers reordering test cases so that faults are found earlier with a minimum execution cost. The purpose of the ...
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Abstract—In continuous integration environments, the execu- tion of test cases is performed for every newly added feature or when a bug fix occurs.
In this paper, we focus on new test cases for continuous integration testing, and on the basis of the RETECS framework, we first propose a priority assignment ...
Test Case Prioritization (TCP) attempts to re-order a test suite to identify an “ideal” order of test cases that maximizes specific goals, such as early fault ...
Missing: Neural | Show results with:Neural
Dec 18, 2020 · When new changes are made, tests that are more likely to be linked to the files modified are prioritized, reducing the resources needed to find ...
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Its primary goal is to detect bugs and defects introduced by recent changes as early as possible while keeping verification costs at a very low level.
Missing: Neural Network-
The purpose of this paper is to minimize the gap between automatic dependency computation and test case prioritization by analyzing how Behavior-Driven ...