However, as these practices became increasingly institutionalized, the accelerating rate of software change made them increasingly risky to use. Projects would use them for two years and become extremely frustrated when the users were not interested in the obsolete capabilities that resulted. Projects would fall behind schedule and use static models (time to complete = work remaining divided by work rate) to try to make up time by adding people, and run afoul of Brooks’s law (adding people to a late software project will make it later). Or they would sprint for the finish line using a point-solution design that satisfied the initial requirements but was extremely difficult to modify when trying to satisfy users’ changing requirements.
Ironically, even with all of these difficulties, organizations would increasingly turn to software and its ability to be electronically upgraded as their best way to adapt their products, services, and systems to the increasing pace of change in their business or operational environment.
