When a new system, such as a knowledge management system or a contentmanagement system is put into production, both the software andhardware are systematically and thoroughly tested while the mainpurpose of the system --- the information --- often lacks systemictesting. In this paper we study how to extend testing approaches fromsoftware and hardware development to information engineering. Wedefine an information quality testing procedure based on test cases,and provide tools to support testing as well as the analysis andvisualization of data collected during the testing. Further, wepresent a feasibility study where we applied information qualitytesting to assess information in a documentation system. The resultsshow promise and have been well received by the companies thatparticipated in the feasibility study. When a new system, such as a knowledge management system or a contentmanagement system is put into production, both the software andhardware are systematically and thoroughly tested while the mainpurpose of the system --- the information --- often lacks systemictesting. In this paper we study how to extend testing approaches fromsoftware and hardware development to information engineering. Wedefine an information quality testing procedure based on test cases,and provide tools to support testing as well as the analysis andvisualization of data collected during the testing. Further, wepresent a feasibility study where we applied information qualitytesting to assess information in a documentation system. The resultsshow promise and have been well received by the companies thatparticipated in the feasibility study.