Abstract
The preliminary task of a project consists of the definition of the scenarios that will guide further development work and validate the results. In this paper, we present an approach for the systematic generation of validation scenarios using a specifically developed taxonomy and combinatorial testing. We applied this approach to our research project for the development of the energy-efficiency evaluation framework named Innometrics. We described in detail all steps for taxonomy creation, generation of abstract validation scenarios, and identification of relevant industrial and academic case studies. We created the taxonomy of the target computer systems and then elaborated test cases using combinatorial testing. The classification criteria were the type of the system, its purpose, enabling hardware components and connectivity technologies, basic design patterns, programming language, and development lifecycle. The combinatorial testing results in 13 cases for one-way test coverage, which was considered enough to create a comprehensive test suite. We defined the case study for each particular scenario. These case studies represent the real industrial, educational, and open-source software development projects that will be used in further work on the Innometrics project.
Highlights
IntroductionEnergy and mobility are essential aspects of the technological evolution of humankind
Nowadays, energy and mobility are essential aspects of the technological evolution of humankind.the global economy faces unprecedented challenges in meeting growing energy and mobility demands, due to the clash between economic development and resource limitations [1,2]
The question of definition and application of metrics to evaluate the energy consumption is of great practical interest, and we have studied this issue in a companion paper recently published [6]
Summary
Energy and mobility are essential aspects of the technological evolution of humankind. The global economy faces unprecedented challenges in meeting growing energy and mobility demands, due to the clash between economic development and resource limitations [1,2]. The need to use energy-saving technologies is dictated by the desire to save resources, and the inability to provide acceptable battery life for mobile devices. Today it is one of the driving forces behind the improvement of architectures and technologies such as mobile processors
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