Collaborative Model-based Analysis for Uncertainty Reduction and - PowerPoint PPT Presentation

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Seminar "Composing Model-Based Analysis Tools" @ Schloss Dagstuhl, Germany, 24-29 November, 2019 Collaborative Model-based Analysis for Uncertainty Reduction and Quality-based Refactoring Catia Trubiani Gran Sasso Science Institute,

Seminar "Composing Model-Based Analysis Tools" @ Schloss Dagstuhl, Germany, 24-29 November, 2019 Collaborative Model-based Analysis for Uncertainty Reduction and Quality-based Refactoring Catia Trubiani Gran Sasso Science Institute, L’Aquila, Italy http://cs.gssi.it/catia.trubiani
Gran Sasso Science Institute GSSI is an international PhD school and a research center for advanced studies in Computer Science , Mathematics, Physics, and Social Sciences, see more details here: http://www.gssi.it My main research interests: - model-based performance analysis - probabilistic model- checking
Available Model-Based Analysis Tools PADprof detects software performance § antipatterns in Java applications by analysing load testing and profiling data- http://tiny.cc/so96fz PERFmpc controls the system performance § runtime evolution and set proper values to QN adaptation knobs - http://tiny.cc/5p96fz SoEfTraceAnalyzer builds traceability links § between software architectural models and extra- functional analysis results - http://tiny.cc/8q96fz …what’s next?!??!
Challenges for composing new tools Collaborative model-based analysis § Investigate the combined use of different § QoS models for a collaborative analysis Uncertainty reduction § Look for strategies on how to acquire § further knowledge on system uncertainties Quality-based refactoring § Improve the quality-based characteristics § by devising effective model-based changes
Takeaway message: «Collaborative model-based analysis may reduce system uncertainties and trigger quality-based refactoring» T HANK YOU ! Questions Postdoc position at GSSI on MIUR-funded project, possibly starting in *April 2020* catia.trubiani@gssi.it

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