Publications

Mitchell Olsthoorn, Annibale Panichella (2021). Multi-objective Test Case Selection Through Linkage Learning-driven Crossover. SSBSE'21.

Project

Dimitri Stallenberg, Mitchell Olsthoorn, Annibale Panichella (2021). Improving Test Case Generation for REST APIs Through Hierarchical Clustering. ASE'21.

Project

Mitchell Olsthoorn, Pouria Derakhshanfar, Annibale Panichella (2021). Hybrid Multi-level Crossover for Unit Test Case Generation. SSBSE'21.

Project

A. Messaoudi, D. Shin, A. Panichella, D. Bianculli, L. Briand (2021). Log-based Slicing for System-level Test Cases. The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA).

S. Vogl, S. Schweikl, G. Fraser, A. Arcuri, J. Campos, A. Panichella (2021). EvoSuite at the SBST 2021 Tool Competition. The 14th Intl. Workshop on Search-Based Software Testing.

Code Project

Annibale Panichella, Cynthia C. S. Liem (2021). What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. The 43rd IEEE/ACM International Conference on Software Engineering 2021 - New Ideas and Emerging Results (ICSE-NIER).

C. Schroder, A. van der Feltz, A. Panichella, M. Aniche (2021). Search-Based Software Re-Modularization: A Case Study at Adyen. The 43rd International Conference on Software Engineering (ICSE 2021) - Software Engineering in Practice (SEIP).

B. Yildiz, H. Hung, J. H. Krijthe, C. C. S. Liem, M. Loog, G. Migut, F. Oliehoek, A. Panichella, P. Paweczak, S. Picek, M. de Weerdt, J. van Gemert (2021). ReproducedPaper.org: Openly teaching and structuring machine learning reproducibility. Third Workshop on Reproducible Research on Pattern Recognition.

Mitchell Olsthoorn, Arie van Deursen, Annibale Panichella (2020). Generating Highly-structured Input Data by Combining Search-based Testing and Grammar-based Fuzzing. ASE'20.

PDF Cite Code Dataset Project DOI

Q. Zhou, A. Zaidman, A. Panichella (2020). How to Kill Them All: An Exploratory Study on the Impact of Code Observability on Mutation Testing. The Journal of Software and Systems.

Preprint

Mitchell Olsthoorn, Pouria Derakhshanfar, Xavier Devroey (2020). An Application of Model Seeding to Search-Based Unit Test Generation for Gson. SSBSE'20.

PDF Cite Code Dataset Project DOI

Annibale Panichella (2020). A Systematic Comparison of Search-Based Approaches for LDA Hyperparameter Tuning. Information and Software Technology.

Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, Vincent Hellendoorn (2020). Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities. The 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020).

Preprint Code

Devjeet Roy, Ziyi Zhang, Maggie Ma, Venera Arnaoudova, Annibale Panichella, Sebastiano Panichella, Danielle Gonzalez, Mehdi Mirakhorli (2020). DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests. The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020).

Preprint Code

Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman, Arie van Deursen, A. Panichella (2020). Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives. The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020).

Preprint Code

Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen (2020). Botsing, a Search-based Crash Reproduction Framework for Java. The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE) - Tool Demo track.

Code Video

Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen (2020). Crash Reproduction Using Helper Objectives. The Genetic and Evolutionary Computation Conference (GECCO).

A. Panichella, J. Campos, G. Fraser (2020). EvoSuite at the SBST 2020 Tool Competition. The 13th Intl. Workshop on Search-Based Software Testing.

Code Project

R. Ben Abdessalem, A. Panichella, S. Nejati, L. Briand, T. Stifter (2020). Automated Repair of Feature Interaction Failures in Automated Driving Systems. The ACM SIGSOFT International Symposium on Software Testing and Analysis.

Preprint Slides Video