Research output per year
Research output per year
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Dive into the research topics where Nour Chetouane is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Extracting information from driving data using k-means clustering
Chetouane, N., Klampfl, L. & Wotawa, F., 2021, Proceedings - SEKE 2021: 33rd International Conference on Software Engineering and Knowledge Engineering. Knowledge Systems Institute Graduate School, p. 610-615 6 p. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE; vol. 2021-July).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
On the Application of Machine Learning in Software Testing
Chetouane, N. & Wotawa, F., 2021, Artificial Intelligence Methods for Software Engineering. Kalech, M., Abreu, R. & Last, M. (eds.). World Scientific , p. 243-268Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Mutation Testing for Artificial Neural Networks: An Empirical Evaluation
Klampfl, L., Chetouane, N. & Wotawa, F., 11 Dec 2020, Proceedings - 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS 2020. Institute of Electrical and Electronics Engineers, p. 356-365 10 p. 9282748Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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On Using k-means Clustering for Test Suite Reduction
Chetouane, N., Wotawa, F., Felbinger, H. & Nica, M., Oct 2020, Proceedings - 2020 IEEE 13th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2020. Institute of Electrical and Electronics Engineers, p. 380 - 385 6 p. 9155590Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks
Chetouane, N., Klampfl, L. & Wotawa, F., 16 May 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Joya, G., Catala, A. & Rojas, I. (eds.). Springer, Cham, p. 766-777 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. LNCS, no. 11506 ).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Extracting information from driving data using k-means clustering
Nour Chetouane (Speaker)
10 Jul 2021Activity: Talk or presentation › Talk at conference or symposium › Science to science
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On Using k-means Clustering for Test Suite Reduction
Nour Chetouane (Speaker)
24 Oct 2020Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
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Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks
Nour Chetouane (Speaker)
14 Jun 2019Activity: Talk or presentation › Talk at conference or symposium › Science to science