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In re ent years there has been an in reasing trend toward the in orporation of omputers into a variety of devi es where the amount of memory available is limited. This makes it desirable to try to redu e the size of appli ations where possible. This arti le explores the use of ompiler te hniques to a omplish ode ompa tion to yield smaller exe utables. The main ontribution of this arti le is to show that areful, aggressive, interpro edural optimization, together with pro edural abstra tion of repeated ode fragments, an yield signi antly better redu tions in ode size than previous approa hes, whi h have generally fo used on abstra tion of repeated instru tion sequen es. We also show how \equivalent" ode fragments an be dete ted and fa tored out using onventional ompiler te hniques, and without having to resort to purely linear treatments of ode sequen es as in suÆx-tree-based approa hes, thereby setting up a framework for ode ompa tion that an be more exible in its treatment of what ode fragments are onsidered equivalent. Our ideas have been implemented in the form of a binary-rewriting tool that redu es the size of exe utables by about 30% on the average.