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Automated test generation tools have been widely investigated
with the goal of reducing the cost of testing activities.
However, generated tests have been shown not to help developers in detecting and finding more bugs even though
they reach higher structural coverage compared to manual
testing. The main reason is that generated tests are di-
cult to understand and maintain. Our paper proposes an
approach, coined TestDescriber, which automatically generates
test case summaries of the portion of code exercised by
each individual test, thereby improving understandability.
We argue that this approach can complement the current
techniques around automated unit test generation or search based techniques designed to generate a possibly minimal set
of test cases. In evaluating our approach we found that (1)
developers find twice as many bugs, and (2) test case summaries
signi ficantly improve the comprehensibility of test
cases, which is considered particularly useful by developers.The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...Sebastiano Panichella
When developers perform a software maintenance
task, they need to identify artifacts—e.g., classes or more specifically
methods—that need to be modified. To this aim, they
can browse various kind of artifacts, for example use case
descriptions, UML diagrams, or source code.
This paper reports the results of a study—conducted with 33
participants— aimed at investigating (i) to what extent developers
use different kinds of documentation when identifying artifacts
to be changed, and (ii) whether they follow specific navigation
patterns among different kinds of artifacts.
Results indicate that, although developers spent a conspicuous
proportion of the available time by focusing on source code,
they browse back and forth between source code and either
static (class) or dynamic (sequence) diagrams. Less frequently,
developers—especially more experienced ones—follow an “integrated”
approach by using different kinds of artifacts.An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks
An Empirical Investigation on Documentation Usage Patterns in Maintenance TasksSebastiano Panichella
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En vedette
Automated test generation tools have been widely investigated
with the goal of reducing the cost of testing activities.
However, generated tests have been shown not to help developers in detecting and finding more bugs even though
they reach higher structural coverage compared to manual
testing. The main reason is that generated tests are di-
cult to understand and maintain. Our paper proposes an
approach, coined TestDescriber, which automatically generates
test case summaries of the portion of code exercised by
each individual test, thereby improving understandability.
We argue that this approach can complement the current
techniques around automated unit test generation or search based techniques designed to generate a possibly minimal set
of test cases. In evaluating our approach we found that (1)
developers find twice as many bugs, and (2) test case summaries
signi ficantly improve the comprehensibility of test
cases, which is considered particularly useful by developers.The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...Sebastiano Panichella
When developers perform a software maintenance
task, they need to identify artifacts—e.g., classes or more specifically
methods—that need to be modified. To this aim, they
can browse various kind of artifacts, for example use case
descriptions, UML diagrams, or source code.
This paper reports the results of a study—conducted with 33
participants— aimed at investigating (i) to what extent developers
use different kinds of documentation when identifying artifacts
to be changed, and (ii) whether they follow specific navigation
patterns among different kinds of artifacts.
Results indicate that, although developers spent a conspicuous
proportion of the available time by focusing on source code,
they browse back and forth between source code and either
static (class) or dynamic (sequence) diagrams. Less frequently,
developers—especially more experienced ones—follow an “integrated”
approach by using different kinds of artifacts.An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks
An Empirical Investigation on Documentation Usage Patterns in Maintenance TasksSebastiano Panichella
En vedette (19)
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...
The Impact of Test Case Summaries on Bug Fixing Performance: An Empirical Inv...
An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks
An Empirical Investigation on Documentation Usage Patterns in Maintenance Tasks
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