2013Unpublished venueRequires access

Achievements and Challenges of Metamorphic Testing

Zhanwei Hui, Song Huang

Open publisher page 11 citations

Abstract

A fundamental problem software testing faces is the so called "test oracle problem", which restricts the development of software testing techniques significantly. Metamorphic Testing (MT) can provide a way to determine the correctness of testing outputs with metamorphic relations between a series of outputs that correspond to a series of inputs, which is regarded as one of the most effective techniques to alleviate oracle problem. This paper reviews previous works on MT and proposes the major challenges of MT, with the goal of supporting future practices and researches in this area.

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What this paper is about

A fundamental problem software testing faces is the so called "test oracle problem", which restricts the development of software testing techniques significantly. Metamorphic Testing (MT) can provide a way to determine the correctness of testing outputs with metamorphic relations between a series of outputs that correspond to a series of inputs, which is regarded as one of the most effective techniques to alleviate oracle problem. This paper reviews previous works on MT and proposes the major challenges of MT, with the goal of supporting future practices and researches in this area.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A fundamental problem software testing faces is the so called "test oracle problem", which restricts the development of software testing techniques significantly. Metamorphic Testing (MT) can provide a way to determine the correctness of testing outputs with metamorphic relations between a series of outputs that correspond to a series of inputs, which is regarded as one of the most effective techniques to alleviate oracle problem. This paper reviews previous works on MT and proposes the major challenges of MT, with the goal of supporting future practices and researches in this area.

Key concepts: Oracle, Correctness, Computer science, Software testing, Software, Software engineering, Programming language

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