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Helping software engineering students analyzing their performance data: tool support in an educational environment.

, , and . ICSE (Companion Volume), page 241-243. IEEE Computer Society, (2017)

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Local Observability and Controllability Enforcement in Distributed Testing., , and . QUATIC, volume 1010 of Communications in Computer and Information Science, page 327-338. Springer, (2019)An analysis of Monte Carlo simulations for forecasting software projects., , , , , and . SAC, page 1550-1558. ACM, (2021)A Reactive and Model-Based Approach for Developing Internet-of-Things Systems., , and . QUATIC, page 276-281. IEEE Computer Society, (2018)Test Generation from UML Sequence Diagrams., , and . QUATIC, page 245-250. IEEE Computer Society, (2012)ProcessPAIR: a tool for automated performance analysis and improvement recommendation in software development., and . ASE, page 798-803. ACM, (2016)DCO analyzer: local controllability and observability analysis and enforcement of distributed test scenarios., and . ICSE (Companion Volume), page 97-100. ACM, (2020)MT4A: a no-programming test automation framework for Android applications., , and . A-TEST@SIGSOFT FSE, page 59-65. ACM, (2016)Applying Machine Learning to Risk Assessment in Software Projects., , , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 104-118. Springer, (2021)Izinto: a pattern-based IoT testing framework., , and . ISSTA/ECOOP Workshops, page 125-131. ACM, (2018)Automatic Model Transformation from UML Sequence Diagrams to Coloured Petri Nets., , and . MODELSWARD, page 668-679. SciTePress, (2018)