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  • 标题:Proving Productivity in Infinite Data Structures
  • 本地全文:下载
  • 作者:Hans Zantema ; Matthias Raffelsieper
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2010
  • 卷号:6
  • 页码:401-416
  • DOI:10.4230/LIPIcs.RTA.2010.401
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:For a general class of infinite data structures including streams, binary trees, and the combination of finite and infinite lists, we investigate the notion of productivity. This generalizes stream productivity. We develop a general technique to prove productivity based on proving context-sensitive termination, by which the power of present termination tools can be exploited. In order to treat cases where the approach does not apply directly, we develop transformations extending the power of the basic approach. We present a tool combining these ingredients that can prove productivity of a wide range of examples fully automatically.
  • 关键词:Productivity; infinite data structures; streams
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