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Detecting non-natural language artifacts for de-noising bug reports.

, и . Autom. Softw. Eng., 29 (2): 52 (2022)

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Thomas Hirsch

Thomas Hirsch

Thomas Hirsch

Thomas Hirsch

Thomas Hirsch

 

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Detecting non-natural language artifacts for de-noising bug reports., и . Autom. Softw. Eng., 29 (2): 52 (2022)Analysing Residual Risks when Introducing Monitoring and Diagnosis into Systems., и . DSA, стр. 698-709. IEEE, (2023)Pruning Boolean Expressions to Shorten Dynamic Slices., и . SCAM, стр. 1-11. IEEE, (2022)Root cause prediction based on bug reports., и . ISSRE Workshops, стр. 171-176. IEEE, (2020)Results from running an experiment as a service platform for mobile broadband networks in Europe., , , , , , , , , и 3 other автор(ы). Comput. Commun., (2019)Using textual bug reports to predict the fault category of software bugs., и . Array, (2022)Experience: An Open Platform for Experimentation with Commercial Mobile Broadband Networks., , , , , , , , , и 3 other автор(ы). MobiCom, стр. 70-78. ACM, (2017)A Fault Localization and Debugging Support Framework driven by Bug Tracking Data.. ISSRE Workshops, стр. 139-142. IEEE, (2020)A systematic literature review on benchmarks for evaluating debugging approaches., и . J. Syst. Softw., (2022)Self Protection through Collaboration Using D-CAF: A Distributed Context-Aware Firewall., и . SECURWARE, стр. 179-184. IEEE Computer Society, (2009)