Latent variable models: an introduction to factor, path, and structural analysis
Latent variable models: an introduction to factor, path, and structural analysis
CASE productivity perceptions of software engineering professionals
Communications of the ACM - Special issue: multiprocessing
A self-assessment by the software engineering community
Communications of the ACM
Evaluation of vendor products: CASE tools as methodology companions
Communications of the ACM
Coordination in software development
Communications of the ACM
CASE tools as collaborative support technologies
Communications of the ACM
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Communications of the ACM
How the Learning Curve Affects CASE Tool Adoption
IEEE Software
ACM SIGCPR Computer Personnel
An Integrated Performance Model Information Systems Projects
Journal of Management Information Systems
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A latent variable approach to the evaluation of CASE tools is used to assess user needs and applications. Responses are consistent with the taxonomy of upper and lower CASE tools. Results indicate the importance of analysis and prototyping features. Some existing tools are rated significantly higher than others in terms of these features. The study also reveals a link between organizational size and the demand for upper and lower CASE tool features. Smaller organizations use CASE tools in the design stage and rely on teamwork and collaboration facilities. Larger firms focus on lower CASE facilities such as prototyping to build completed systems.