Change 2/5/2019

Quality Improvement Paradigm (QIP) AKA Empirical Software Engineering Understand: characterize current product, problems, process Assess: experiment and pilot projects to assess impact of change Package: train, document, standards, etc. to support introduction of change Highly rational approach 2/5/2019

Diffusion "It just happens" Rumors, games, etc. Geographic proximity, high value/low cost Not very controllable 2/5/2019

Hole-in-the-floor (top-down) Engineers develop perfect system Cut hole in floor Drop system on users who immediately change Before/after model Emphasizes planning, but not very humane 2/5/2019

Newtonian (f=m/a) Bigger system, push harder! Faster change, push harder! Push in the right direction! 2/5/2019

Learning Curve (huh, got it, the last 10%) statistical 2/5/2019

Satir Change Model Status Quo Intrusion of Foreign Element Chaos Introduction of transforming Idea Integration New Status Quo 2/5/2019

Foreign Element New Status Quo Old status Quo Chaos Integration Transforming Idea 2/5/2019

Responses to Change Try to reject foreign element Try to accommodate foreign element in old model Try to transform old model to receive foreign element Try to integrate Practice to master new model 2/5/2019

Roger's Innovation Diffusion Factors Relative advantage: how much better is it perceived to be? Compatibility: how compatible is it to how we do things? Complexity: how difficult is it to understand and use? Trialability: can I experiment with it before deciding? Observability: how visible are the results to others? Added, but useful: Image: how much will it enhance my image or status? Trust: do I (the adopter) think the provider is trustworthy? 2/5/2019

Daryl Conner Managing at the Speed of Change Shock Denial Anger Bargaining Depression Testing, redefine goals Acceptance 2/5/2019

References Quality Software Management: Anticipating Change by Gerald M. Weinberg, ISBN 0-932633-32-3 Managing at the Speed of Change by Daryl R. Conner, ISBN: 0-679406-84-0 2/5/2019