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AV-SMP SIGNED

Algorithmic Verification of String Manipulating Programs

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EC-Contrib. €

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Project "AV-SMP" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET KAISERSLAUTERN 

Organization address
address: GOTTLIEB DAIMLER STRASSE
city: KAISERSLAUTERN
postcode: 67663
website: www.uni-kl.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙496˙687 €
 EC max contribution 1˙496˙687 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2022-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET KAISERSLAUTERN DE (KAISERSLAUTERN) coordinator 1˙332˙075.00
2    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) participant 164˙612.00

Map

 Project objective

String is among the most fundamental and commonly used data types in virtually all modern programming languages, especially with the rapidly growing popularity of scripting languages (e.g. JavaScript and Python). Programs written in such languages tend to perform heavy string manipulations, which are complex to reason about and could easily lead to programming mistakes. In some cases, such mistakes could have serious consequences, e.g., in the case of client-side web applications, cross-site scripting (XSS) attacks that could lead to a security breach by a malicious user.

The central objective of the proposed project is to develop novel verification algorithms for analysing the correctness (esp. with respect to safety and termination properties) of programs with string variables, and transform them into robust verification tools. To meet this key objective, we will make fundamental breakthroughs on both theoretical and tool implementation challenges. On the theoretical side, we address two important problems: (1) design expressive constraint languages over strings (in combination with other data types like integers) that permit decidability with good complexity, and (2) design generic semi-algorithms for verifying string programs that have strong theoretical performance guarantee. On the implementation side, we will address the challenging problem of designing novel implementation methods that can substantially speed up the basic string analysis procedures in practice. Finally, as a proof of concept, we will apply our technologies to two key application domains: (1) automatic detection of XSS vulnerabilities in web applications, and (2) automatic grading systems for a programming course.

The project will not only make fundamental theoretical contributions — potentially solving long-standing open problems in the area — but also yield powerful methods that can be used in various applications.

 Publications

year authors and title journal last update
List of publications.
2018 Lukáš Holík, Petr Janků, Anthony W. Lin, Philipp Rümmer, Tomáš Vojnar
String constraints with concatenation and transducers solved efficiently
published pages: 1-32, ISSN: 2475-1421, DOI:
Proceedings of the ACM on Programming Languages 2/POPL 2019-10-07
2019 Taolue Chen, Matthew Hague, Anthony W. Lin, Philipp Rümmer, Zhilin Wu
Decision procedures for path feasibility of string-manipulating programs with complex operations
published pages: 1-30, ISSN: 2475-1421, DOI: 10.1145/3290362
Proceedings of the ACM on Programming Languages 3/POPL 2019-10-07
2018 Taolue Chen, Yan Chen, Matthew Hague, Anthony W. Lin, Zhilin Wu
What is decidable about string constraints with the ReplaceAll function
published pages: 1-29, ISSN: 2475-1421, DOI:
Proceedings of the ACM on Programming Languages 2/POPL 2019-10-07

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The information about "AV-SMP" are provided by the European Opendata Portal: CORDIS opendata.

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