Extracting relevant test inputs from bug reports for automatic test case generation

Extracting relevant test inputs from bug reports for automatic test case generation

The pursuit of automating software test case generation, particularly for unit tests, has become increasingly important due to the labor-intensive nature of manual test generation [6]. However, a significant challenge in this domain is the inability of automated approaches to generate relevant input...

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Main Authors: Ouédraogo, Wendkuuni C., Plein, Laura, Kaboré, Kader, Habib, Andrew, Klein, Jacques, LO, David, Bissyandé, Tegawende F.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/8888
https://ink.library.smu.edu.sg/context/sis_research/article/9891/viewcontent/3639478.3643537_pvoa_cc_by.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-98912024-06-13T08:51:13Z Extracting relevant test inputs from bug reports for automatic test case generation Ouédraogo, Wendkuuni C. Plein, Laura Kaboré, Kader Habib, Andrew Klein, Jacques LO, David Bissyandé, Tegawende F. The pursuit of automating software test case generation, particularly for unit tests, has become increasingly important due to the labor-intensive nature of manual test generation [6]. However, a significant challenge in this domain is the inability of automated approaches to generate relevant inputs, which compromises the efficacy of the tests [6]. 2024-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8888 info:doi/10.1145/3639478.3643537 https://ink.library.smu.edu.sg/context/sis_research/article/9891/viewcontent/3639478.3643537_pvoa_cc_by.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
Ouédraogo, Wendkuuni C.
Plein, Laura
Kaboré, Kader
Habib, Andrew
Klein, Jacques
LO, David
Bissyandé, Tegawende F.
Extracting relevant test inputs from bug reports for automatic test case generation
description The pursuit of automating software test case generation, particularly for unit tests, has become increasingly important due to the labor-intensive nature of manual test generation [6]. However, a significant challenge in this domain is the inability of automated approaches to generate relevant inputs, which compromises the efficacy of the tests [6].
format text
author Ouédraogo, Wendkuuni C.
Plein, Laura
Kaboré, Kader
Habib, Andrew
Klein, Jacques
LO, David
Bissyandé, Tegawende F.
author_facet Ouédraogo, Wendkuuni C.
Plein, Laura
Kaboré, Kader
Habib, Andrew
Klein, Jacques
LO, David
Bissyandé, Tegawende F.
author_sort Ouédraogo, Wendkuuni C.
title Extracting relevant test inputs from bug reports for automatic test case generation
title_short Extracting relevant test inputs from bug reports for automatic test case generation
title_full Extracting relevant test inputs from bug reports for automatic test case generation
title_fullStr Extracting relevant test inputs from bug reports for automatic test case generation
title_full_unstemmed Extracting relevant test inputs from bug reports for automatic test case generation
title_sort extracting relevant test inputs from bug reports for automatic test case generation
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/8888
https://ink.library.smu.edu.sg/context/sis_research/article/9891/viewcontent/3639478.3643537_pvoa_cc_by.pdf
_version_ 1814047610507362304

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