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Cited by 764

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A System to Generate Test Data and Symbolically Execute Programs

Clarke, L.A.·1976·IEEE Transactions on Software Engineering

Abstract

This paper describes a system that attempts to generate test data for programs written in ANSI Fortran. Given a path, the system symbolically executes the path and creates a set of constraints on the program's input variables. If the set of constraints is linear, linear programming techniques are employed to obtain a solution. A solution to the set of constraints is test data that will drive execution down the given path. If it can be determined that the set of constraints is inconsistent, then the given path is shown to be nonexecutable. To increase the chance of detecting some of the more common programming errors, artificial constraints are temporarily created that simulate error conditions and then an attempt is made to solve each augmented set of constraints. A symbolic representation of the program's output variables in terms of the program's input variables is also created. The symbolic representation is in a human readable form that facilitates error detection as well as being a possible aid in assertion generation and automatic program documentation.

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Metadata

Authors
Clarke, L. A.
Venue
IEEE Transactions on Software Engineering
Published
1976-09
Volume
SE-2
Issue
3
Pages
215-222
ISSN
  • 0098-5589 (ISSN-L)
  • 1939-3520
  • 2326-3881
OpenAlex
W2109276114
Cited by
764
References
0
FWCI
57.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A System to Generate Test Data and Symbolically Execute Programs. https://app.cochat.ai/papers/10.1109/tse.1976.233817
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Clarke, L. A. (1976). A System to Generate Test Data and Symbolically Execute Programs. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.1976.233817

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.