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Metrics for Design Automation
Any investment in industry has to create added value. To realize projects in the field of design automation initial efforts are required.
Despite the abundance of computational tools and methods in literature, no systematic approach for estimating and validating the results of the implementation of design automation in industry have been reported. If results are quantified at all, usually, time savings are measured. However, other benefits such as quality improvements of products, error rate reduction in the development process etc. need to be considered, too. The proposed thesis builds upon existing work focusing on qualitative metrics. These need to be refined and adjusted to yield quantifiable measures tailored to the needs of industry as well as to the different types of design automation.
Despite the abundance of computational tools and methods in literature, no systematic approach for estimating and validating the results of the implementation of design automation in industry have been reported. If results are quantified at all, usually, time savings are measured. However, other benefits such as quality improvements of products, error rate reduction in the development process etc. need to be considered, too. The proposed thesis builds upon existing work focusing on qualitative metrics. These need to be refined and adjusted to yield quantifiable measures tailored to the needs of industry as well as to the different types of design automation.
The aim of the project is to determine both generic and design task specific metrics for the quantification of success of design automation applications. In a first step, evaluation methods need to be investigated and a set of metrics for estimating potential of design automation applications has to be synthesized.
The second step encompasses a detailed process analysis with an industrial partner case: As-Is and To-Be processes need to be modelled and potential benefits should be mapped to the process models.
The last step comprises verification of metrics according to changes in the design process due to implementation of a design automation application (projects are conducted in parallel).
The aim of the project is to determine both generic and design task specific metrics for the quantification of success of design automation applications. In a first step, evaluation methods need to be investigated and a set of metrics for estimating potential of design automation applications has to be synthesized. The second step encompasses a detailed process analysis with an industrial partner case: As-Is and To-Be processes need to be modelled and potential benefits should be mapped to the process models. The last step comprises verification of metrics according to changes in the design process due to implementation of a design automation application (projects are conducted in parallel).
Eugen Rigger
eugen.rigger@v-research.at
riggere@ethz.ch
Eugen Rigger eugen.rigger@v-research.at riggere@ethz.ch