The article presents an assessment of the impact of software engineering development tools with an innovative set of measures for implementation. Computer-Aided Software Engineering (CASE) technology is suggested as a possible means to increase the productivity and quality of systems development. While some studies report productivity gains from CASE usage, others observe that expected productivity gains are difficult to achieve. The importance of looking into these contradictory results can hardly be overemphasized as uneven success of CASE has led many information systems managers to delay implementation. Many reasons have been put forth to account for these inconsistencies. Most important of these seems the lack of use of common outcome measures. Lack of carefully constructed outcome measures constrains IS managers in their benchmarking and technology assessment efforts. A national survey was conducted to collect the empirical data for the study. Using CASE usage assessment framework, two measures were computed, adoption and infusion, to describe CASE spread in IS organizations.