T3AS/DeepOrder-ICSME21
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".
This project helps software developers prioritize which tests to run first in their continuous integration pipeline. It takes your existing test suite and a history of past test runs, then outputs an optimized order for running your tests. This is designed for software development teams and quality assurance engineers aiming to find bugs faster and reduce feedback time during development.
No commits in the last 6 months.
Use this if you are a software developer or QA engineer looking to optimize your continuous integration workflow by intelligently prioritizing test cases to detect faults earlier.
Not ideal if you are looking for a general-purpose machine learning library or a tool to generate new test cases, as this focuses specifically on test prioritization.
Stars
18
Forks
11
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jul 24, 2022
Commits (30d)
0
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