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Last updated on Thursday, November 16, 2023
@inproceedings{Schittekat2022EASE,
address = {New York, NY, USA},
author = {Schittekat, Igor and Abdi, Mehrdad and
Demeyer, Serge},
booktitle = {Proceedings {EASE 2022} (The International Conference
on Evaluation and Assessment in Software
Engineering)},
pages = {294--298},
publisher = {Association for Computing Machinery},
title = {Can We Increase the Test-Coverage in Libraries Using
Dependent Projects' Test-Suites?},
year = {2022},
abstract = {Modern software systems increasingly depend on
packages released on code sharing platforms such as
GitHub, Bitbucket, and GitLab. To minimize the risk
of lurking defects in such packages, strong test
suites covering the normal as well as the exceptional
paths are needed. In this paper we explore the
potential of using tests from dependent projects to
increase the code coverage of base packages. We
extracted 4 popular Python packages from GitHub
together with 14 dependent projects and analyzed the
code coverage of the available tests. We observed
that adopting the tests of the dependent projects in
the test suite of the base library, would increase
the line coverage in 9 out of 14 (64\%) of the cases
and the mutation coverage in all of them (100\%). Our
results suggest that a tool which would generate
tests for the base package based on the tests in the
dependent projects, would help to strengthen the test
suite.},
annote = {internationalconference},
doi = {10.1145/3530019.3535309},
isbn = {9781450396134},
url = {https://doi.org/10.1145/3530019.3535309},
}