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Publications

The development of EvoMaster is rooted in academia. Here, you can find the PDFs of all the academic publications based on EvoMaster. Furthermore, slides of presentations can be found here. These can be useful if you want to know more on how EvoMaster works internally, e.g., details on the Many Independent Objective (MIO) algorithm.

2020

  • A. Arcuri, J.P. Galeotti. Testability Transformations For Existing APIs. IEEE Conference on Software Testing, Validation and Verification (ICST). To appear.

2019

  • M. Zhang, B. Marculescu, A. Arcuri. Resource-based Test Case Generation for RESTful Web Services. ACM Genetic and Evolutionary Computation Conference (GECCO). [PDF]

  • A. Arcuri, J.P. Galeotti. SQL Data Generation to Enhance Search-Based System Testing. ACM Genetic and Evolutionary Computation Conference (GECCO). [PDF]

  • A. Arcuri. RESTful API Automated Test Case Generation with EvoMaster. ACM Transactions on Software Engineering and Methodology (TOSEM). [PDF]

2018

  • A. Arcuri. Test Suite Generation with the Many Independent Objective (MIO) Algorithm. Information and Software Technology (IST). [PDF]

  • A. Arcuri. EvoMaster: Evolutionary Multi-context Automated System Test Generation. IEEE Conference on Software Testing, Validation and Verification (ICST). [PDF]

  • A. Arcuri. An Experience Report On Applying Software Testing Academic Results In Industry: We Need Usable Automated Test Generation. Empirical Software Engineering (EMSE). [PDF]

2017

  • A. Arcuri. RESTful API Automated Test Case Generation. IEEE International Conference on Software Quality, Reliability & Security (QRS). [PDF]

  • A. Arcuri. Many Independent Objective (MIO) Algorithm for Test Suite Generation. Symposium on Search-based Software Engineering (SSBSE). Best paper award. [PDF]