When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.RTA.2010.401
URN: urn:nbn:de:0030-drops-26661
Go to the corresponding LIPIcs Volume Portal

Zantema, Hans ; Raffelsieper, Matthias

Proving Productivity in Infinite Data Structures

10002.ZantemaHans.2666.pdf (0.2 MB)


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.

BibTeX - Entry

  author =	{Hans Zantema and Matthias Raffelsieper},
  title =	{{Proving Productivity in Infinite Data Structures}},
  booktitle =	{Proceedings of the 21st International Conference on Rewriting Techniques and Applications},
  pages =	{401--416},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-18-7},
  ISSN =	{1868-8969},
  year =	{2010},
  volume =	{6},
  editor =	{Christopher Lynch},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-26661},
  doi =		{},
  annote =	{Keywords: Productivity, infinite data structures, streams}

Keywords: Productivity, infinite data structures, streams
Seminar: Proceedings of the 21st International Conference on Rewriting Techniques and Applications
Issue Date: 2010
Date of publication: 06.07.2010

DROPS-Home | Fulltext Search | Imprint Published by LZI