This paper presents a perspective of generative reuse technologies as
they have evolved over the last 15 years or so and a discussion of how
generative reuse addresses some key reuse problems. Over that time pe
riod, a number of different reuse strategies have been tried ranging f
rom pure component reuse to pure generation. The record of success is
mixed and the evidence is sketchy. Nevertheless, the paper will use so
me known metric evidence plus anecdotal evidence, personal experience,
and suggestive evidence to define some of the boundaries of the succe
ss envelope. Fundamentally, the paper will make the argument that the
first order term in the success equation of reuse is the amount of dom
ain-specific content and the second order term is the specific technol
ogy chosen in which to express that content. The overall payoff of any
reuse system correlates well with the amount of content expressed in
the domain specific elements. While not a silver bullet, technology is
not without its contribution and the degree of payoff for any specifi
c technology is sensitive to many factors. The paper will make the arg
ument that the generative factors predominate over other technology fa
ctors. By looking closely at several successful generation systems tha
t are exemplars for classes of related systems, the paper will examine
how those classes have solved problems associated with the more conve
ntion reuse of concrete components expressed in conventional programmi
ng languages. From this analysis, it will distill the key elements of
generative success and provide an opinion of approximately where each
class of generative system fits in the overall picture. The result is
a guide to the generative reuse technologies that appear to work best
today.