期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：11
页码：89-98
出版社：Science and Information Society (SAI)
摘要：The software system is evolving over the time, thus,
the test suite must be repaired according to the changing code.
Updating test cases manually is a time-consuming activity,
especially for large test suites, which motivate the recent
development of automatically repairing test techniques. To
develop an effective automatic repair technique that reduces the
effort of development and the cost of evolution, the developer
should understand how the test suite evolves in practice. This
investigation aims to conduct a comprehensive empirical study
on eight Java systems with many versions of these systems and
their test suites to find out how the test suite is evolving, and to
find the relationship between the change in the program and the
corresponding evolution in the test suite. This study showed that
the test suite size is mostly increased, where the test suite
complexity is stabilized. The increase (or decrease) in the code
size will mostly increase (or decrease) the test suite size. However,
the increasing or decreasing in the code complexity is offset by
stabilizing the test suite complexity. Moreover, the percentage of
the code coverage tends to be increased more than decreased, but
in the mutation coverage, the opposite is true.
关键词：Software; test; code complexity; code coverage; test
evolution
