2008Unpublished venueRequires access

Behaviour Directed Testing of Auto-code Generators

Prahladavaradan Sampath, A. C. Rajeev, S. Ramesh, K. C. Shashidhar

Open publisher page 7 citations

Abstract

This paper addresses the problem of testing auto-code generators. Auto-code generators take as input a model in certain modeling language, and produce as output a program that captures the execution semantics of the input-model. We focus on the problem of test specification for the purpose of automatically generating a test-suite. We propose a novel technique for test specification based on the execution behavior of models. We also propose an algorithm that uses such a behavioral test specification for directing test-case generation towards very specific behavioral patterns that we would like to exercise. We have implemented this technique, and have applied it for generating test-cases for a Stateflow auto-code generator.

About this research paper

What this paper is about

This paper addresses the problem of testing auto-code generators. Auto-code generators take as input a model in certain modeling language, and produce as output a program that captures the execution semantics of the input-model. We focus on the problem of test specification for the purpose of automatically generating a test-suite. We propose a novel technique for test specification based on the execution behavior of models. We also propose an algorithm that uses such a behavioral test specification for directing test-case generation towards very specific behavioral patterns that we would like to exercise. We have implemented this technique, and have applied it for generating test-cases for a Stateflow auto-code generator.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

This paper addresses the problem of testing auto-code generators. Auto-code generators take as input a model in certain modeling language, and produce as output a program that captures the execution semantics of the input-model. We focus on the problem of test specification for the purpose of automatically generating a test-suite. We propose a novel technique for test specification based on the execution behavior of models. We also propose an algorithm that uses such a behavioral test specification for directing test-case generation towards very specific behavioral patterns that we would like to exercise. We have implemented this technique, and have applied it for generating test-cases for a Stateflow auto-code generator.

Key concepts: Stateflow, Computer science, Test suite, Programming language, Code generation, Model-based testing, Code coverage, Fuzz testing

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