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Science of Computer Programming
Article . 2017 . Peer-reviewed
License: Elsevier Non-Commercial
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Concolic testing for functional languages

Authors: Aggelos Giantsios; Nikolaos Papaspyrou; Konstantinos Sagonas;

Concolic testing for functional languages

Abstract

Concolic testing is a software testing technique combining concrete execution of a program (given specific input, along specific paths) with symbolic execution (generating new test inputs that give better path coverage than random test case generation). Concolic testing has so far been applied, mainly at the level of bytecode or assembly code, to programs written in imperative languages that manipulate primitive data types such as integers and arrays. In this paper, we demonstrate its application to a functional programming language core, a subset of the core language of Erlang, that supports pattern matching, structured recursive data types such as lists, recursion and higher-order functions. Moreover, we present CutEr, a tool implementing this testing technique. We describe CutEr's architecture, the challenges that need to be addressed by such a tool, its current limitations, and report some experiences from its use.

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
bronze