Revising is an essential writing process yet automated writing evaluation systems tend to give feedback on discrete essay drafts rather than changes across drafts. We explore the feasibility of automated revision detection and its potential to guide feedback. Relationships between revising behaviors and linguistic features of students' essays are discussed. [This paper was published in the Proceedings of the 9th International Conference on Educational Data Mining 2016, p628-629.]