Uniting Academic Achievements on Performance Analysis with Industrial Needs

Bart Theelen and Jozef Hooman

Appeared in: 12th Int. Conf. on Quantitative Evaluation of Systems (QEST 2015), LNCS 9259, pages 3-18, Springer International Publishing, 2015.


In our mission to advance innovation by industrial adoption of academic results, we perform many projects with high-tech industries. Favoring formal methods, we observe a gap between industrial needs in performance modeling and the analysis capabilities of formal methods for this goal. After clarifying this gap, we highlight some relevant deficiencies for state-of-the-art quantitative analysis techniques (focusing on model checking and simulation). As an ingredient to bridging the gap, we propose to unite domain-specific industrial contexts with academic performance approaches through Domain Specific Languages (DSLs). We illustrate our vision with examples from different high-tech industries and discuss lessons learned from the migration process of adopting it.

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