License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SNAPL.2017.18
URN: urn:nbn:de:0030-drops-71213
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Toman, John ; Grossman, Dan

Taming the Static Analysis Beast

LIPIcs-SNAPL-2017-18.pdf (0.6 MB)


While industrial-strength static analysis over large, real-world codebases has become commonplace, so too have difficult-to-analyze language constructs, large libraries, and popular frameworks. These features make constructing and evaluating a novel, sound analysis painful, error-prone, and tedious. We motivate the need for research to address these issues by highlighting some of the many challenges faced by static analysis developers in today's software ecosystem. We then propose our short- and long-term research agenda to make static analysis over modern software less burdensome.

BibTeX - Entry

  author =	{John Toman and Dan Grossman},
  title =	{{Taming the Static Analysis Beast}},
  booktitle =	{2nd Summit on Advances in Programming Languages (SNAPL 2017)},
  pages =	{18:1--18:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-032-3},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{71},
  editor =	{Benjamin S. Lerner and Rastislav Bod{\'i}k and Shriram Krishnamurthi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-71213},
  doi =		{10.4230/LIPIcs.SNAPL.2017.18},
  annote =	{Keywords: static analysis, frameworks, api knowledge, library specifications}

Keywords: static analysis, frameworks, api knowledge, library specifications
Collection: 2nd Summit on Advances in Programming Languages (SNAPL 2017)
Issue Date: 2017
Date of publication: 05.05.2017

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