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Coviello, C., Romano, S., Scanniello, G., & Antoniol, G. (2022). GASSER: A Multi-Objective Evolutionary Approach for Test Suite Reduction. International Journal of Software Engineering and Knowledge Engineering, 32(2), 193-225. External link
Coviello, C., Romano, S., Scanniello, G., & Antoniol, G. (2021, March). Gasser [Paper]. 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. External link
Coviello, C., Romano, S., Scanniello, G., Marchetto, A., Corazza, A., & Antoniol, G. (2020). Adequate vs. inadequate test suite reduction approaches. Information and Software Technology, 119, 19 pages. External link
Coviello, C., Romano, S., Scanniello, G., & Antoniol, G. (2020, October). GASSER: Genetic algorithm for teSt suite reduction [Paper]. 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020) (6 pages). External link
Coviello, C., Romano, S., Scanniello, G., Marchetto, A., Corazza, A., & Antoniol, G. (2019). Adequate vs. Inadequate Test Suite Reduction Approaches. Raw Data [Dataset]. External link
Coviello, C., Romano, S., Scanniello, G., Marchetto, A., Antoniol, G., & Corazza, A. (2018, March). Clustering support for inadequate test suite reduction [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. External link
Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension. Information and Software Technology, 122, 14 pages. External link
Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension [Dataset]. External link
Romano, S., Scanniello, G., Antoniol, G., & Marchetto, A. (2018). SPIRITuS: a SimPle Information Retrieval regressIon Test Selection approach. Information & Software Technology, 99, 62-80. External link