One-way constraints have been widely incorporated in research toolkits for constructing graphical applications. However, although a number of studies have examined the performance of these toolkits' constraint satisfaction algorithms, there have not been any empirical studies that have examined how programmers use constraints in actual applications. This paper reports the results of a study intended to address these matters. Seven graphical applications were chosen for their diversity and profiling information was gathered about their use of constraints, The data reveal that constraint networks tend to be modular, that is, divided into a number c~fsmall, independent sets of constraints rather than one mono] ithic set of constraints. This finding suggests that constraint satisfaction algorithms should be able to resatisfy constraints rapidly after a change to one or more variables. It also suggests that debugging constraints should not be unduly burdensome on a programmer since the number of constraints that must be examined to find the source of an error is not terriblly large. Overall, the results of this study should provide a repository of data that will be useful in directing future research on optimizing constraint solvers and developing effective debugging techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.