Software Testing in Practice Literature Review
AboutApproachesContributeMetricsRelated Works

Machine learning-based

TCP
A Time Window Based Reinforcement Learning Reward for Test Case Prioritization in Continuous Integration Learning for test prioritization: An industrial case study TCP-Net: Test Case Prioritization using End-to-End Deep Neural Networks A Multi-Armed Bandit Approach for Test Case Prioritization in Continuous Integration Environments Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts Learning-to-rank vs ranking-to-learn: Strategies for regression testing in continuous integration Empirically evaluating readily available information for regression test optimization in continuous integration Reinforcement learning for test case prioritization Learning to Rank for Test Case Prioritization Reinforcement learning for automatic test case prioritization and selection in continuous integration
TCS
Predictive Test Selection Comparing and Combining Analysis-Based and Learning-Based Regression Test Selection Empirically evaluating readily available information for regression test optimization in continuous integration Data-driven test selection at scale
TSR
TSA

Software Testing in Practice Literature Review

  • Software Testing in Practice Literature Review
  • Contact: renan.greca@gssi.it
  • GitHub
  • Twitter

Live repository of the literature review published in "State of Practical Applicability of Regression Testing Research: A Live Systematic Literature Review".