Contextual understanding and improvement of metamorphic testing in scientific software development

Zedong Peng; Upulee Kanewala; Nan Niu

doi:10.1145/3475716.3484188

Contextual understanding and improvement of metamorphic testing in scientific software development

Zedong Peng
, Upulee Kanewala
, Nan Niu

School of Computing

Research output: Contribution to conference › Proceedings › peer-review

Original language	English
DOIs	https://doi.org/10.1145/3475716.3484188
State	Published - Oct 11 2021
Event	15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2021 - Virtual, Online, Italy Duration: Oct 11 2021 → Oct 15 2021

Conference

Conference	15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2021
Country/Territory	Italy
City	Virtual, Online
Period	10/11/21 → 10/15/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

ASJC Scopus Subject Areas

Computer Science Applications
Software

Keywords

Empirical software engineering
metamorphic testing
Scientific software

Access to Document

10.1145/3475716.3484188

Cite this

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title = "Contextual understanding and improvement of metamorphic testing in scientific software development",

keywords = "Empirical software engineering, metamorphic testing, Scientific software",

author = "Zedong Peng and Upulee Kanewala and Nan Niu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE Computer Society. All rights reserved.; 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2021 ; Conference date: 11-10-2021 Through 15-10-2021",

year = "2021",

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day = "11",

doi = "10.1145/3475716.3484188",

language = "English",

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TY - CONF

T1 - Contextual understanding and improvement of metamorphic testing in scientific software development

AU - Peng, Zedong

AU - Kanewala, Upulee

AU - Niu, Nan

PY - 2021/10/11

Y1 - 2021/10/11

KW - Empirical software engineering

KW - metamorphic testing

KW - Scientific software

UR - https://www.scopus.com/pages/publications/85117923359

UR - https://www.scopus.com/pages/publications/85117923359#tab=citedBy

U2 - 10.1145/3475716.3484188

DO - 10.1145/3475716.3484188

M3 - Proceedings

AN - SCOPUS:85117923359

T2 - 15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2021

Y2 - 11 October 2021 through 15 October 2021

ER -

Contextual understanding and improvement of metamorphic testing in scientific software development

Conference

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this