Transfer Learning for Automated Test Case Prioritization Using XCSF

1 code implementation • Springer EvoStar 2021 • Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner

With the rise of test automation, companies start to rely on large amounts of test cases.

reinforcement-learning Reinforcement Learning (RL) +1

An artificial immune system for black box test case selection

1 code implementation • Springer EvoStar 2021 • Lukas Rosenbauer, Anthony Stein, Jörg Hähner

For software validation a transformation from manual to automated tests can be observed which enables companies to implement large numbers of test cases.

An Artificial Immune System for Adaptive Test Selection

1 code implementation • IEEE Symposium Series on Computational Intelligence 2020 • Lukas Rosenbauer, Anthony Stein, Jörg Hähner

The verification of a new product is a major challenge for companies.

XCSF with Experience Replay for Automatic Test Case Prioritization

1 code implementation • IEEE Symposium Series on Computational Intelligence 2020 • Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner

With the rise of test automation, companies start to rely on huge numbers of tests.

Metaheuristics for the Minimum Set Cover Problem: A Comparison

1 code implementation • ECTA 2020 • Lukas Rosenbauer, Helena Stegherr, Anthony Stein, Jörg Hähner

As the MSCP turns out to appear in several real world problems, various approaches exist where evolutionary algorithms and metaheuristics are utilized in order to achieve good average case results.

Evolutionary Algorithms

XCSF for Automatic Test Case Prioritization

1 code implementation • IJCCI 2020 • Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner

Testing is a crucial part in the development of a new product.

reinforcement-learning Reinforcement Learning (RL)

A Germinal Centre Artificial Immune System for Software Test Suite Reduction

1 code implementation • ALIFE 2020 • Lukas Rosenbauer, Anthony Stein, Jörg Hähner

Testing is a crucial part in the development of a new product.

Generic approaches for parallel rule matching in learning classifier systems

1 code implementation • GECCO 2020 • Lukas Rosenbauer, Anthony Stein, Jörg Hähner

Thus we show that our approaches cannot only decrease the runtime, but are also reusable for most learning classifier systems and computing systems.

XCS as a reinforcement learning approach to automatic test case prioritization

1 code implementation • GECCO 2020 • Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner

We are the first to apply XCS classifier systems (XCS) for this use case and reveal that XCS is not only suitable for this problem, but can also be superior to the aforementioned neural network and leads to more stable results.

reinforcement-learning Reinforcement Learning (RL)

XCS Classifier System with Experience Replay

no code implementations • 13 Feb 2020 • Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner

XCS constitutes the most deeply investigated classifier system today.