Elaborating validation scenarios based on the context analysis and combinatorial method: Example of the power-efficiency framework innomterics

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.