GIST – Gaining actionable Insights from Software Testing
GIST – Gaining actionable Insights from Software Testing
With shortened delivery cycles and continuous deployment, companies rely on extensive and frequent testing to ensure product quality. The data generated from testing, other development activities, and product usage can provide valuable insights to improve product quality and development processes. While data is plentiful, making sense of it to gain actionable insights requires a multi-dimensional analysis. Designing, implementing, and evaluating such analyses daily is a rare practice in the industry as it is expensive and not adopted beyond research pilots. Hence, we need intelligent, automated, and reusable approaches that collect and analyze the available data to allow engineers and managers to make informed decisions.
In software engineering, data and visual analytics have been proposed to interpret large amounts of multi-dimensional data. However, their use in software testing is not sufficiently investigated. Furthermore, the cost of existing approaches is too high for practical use due to the following limitations: (a) tight coupling between analytical solutions and the underlying data collection mechanisms and (b) the need to interact with and integrate various data sources to collect all the necessary data.
In GIST, we develop and evaluate artifacts to deal with these limitations. Using design science, we identify and consolidate key stakeholders’ information needs and develop analytical solutions to meet those needs. We develop an information model to decouple the analytical solutions from the data sources and develop an effective and reusable data collection mechanism.
While GIST focuses on software testing, the solutions can also be generalized to other knowledge areas in software engineering. It will thus create synergies with ongoing local and national research projects. The experiences from the project will also be continuously integrated into our teaching and lead to theses on related topics.
Fakta
Längd
2023-2027
Budget
4 MSEK
