This paper provides the results of a survey of the grey literature concerning best practices for end-to-end web test automation. We analyzed more than 2,400 sources (e.g., blog posts, white-papers, user manuals, GitHub repositories) looking for guidelines by IT professionals on how to develop and maintain web test code. Ultimately, we filtered 142 relevant documents from which we extracted a taxonomy of guidelines divided into technical tips (i.e., concerning the development, maintenance, and execution of web tests), and business-level tips (i.e, concerning the planning and management of testing teams, design, and process). The paper concludes by distilling the ten most cited best practices for developing good quality automated web tests.
Web Test Automation: Insights from the Grey Literature
Ricca F.;
2021-01-01
Abstract
This paper provides the results of a survey of the grey literature concerning best practices for end-to-end web test automation. We analyzed more than 2,400 sources (e.g., blog posts, white-papers, user manuals, GitHub repositories) looking for guidelines by IT professionals on how to develop and maintain web test code. Ultimately, we filtered 142 relevant documents from which we extracted a taxonomy of guidelines divided into technical tips (i.e., concerning the development, maintenance, and execution of web tests), and business-level tips (i.e, concerning the planning and management of testing teams, design, and process). The paper concludes by distilling the ten most cited best practices for developing good quality automated web tests.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
