Automation framework evaluation: Difference between revisions
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! Framework(with link) ! | ! Framework(with link) | ||
Feature list | ! Feature list | ||
# Do tests describe intent clearly? | # Do tests describe intent clearly? | ||
# Is system information gathered? | # Is system information gathered? | ||
# Do results readable by man and computer? | # Do results readable by man and computer? | ||
# Is run and develop process fast? | # Is run and develop process fast? | ||
# Does it able to be run on cluster in parallel? | # Does it able to be run on cluster in parallel? | ||
! More advantages | |||
! More disadvantages | |||
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| [https://github.com/autotest/autotest autotest] | | [https://github.com/autotest/autotest autotest] | ||
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Developed on Python | Developed on Python | ||
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# Test have meta information but framework don't use it. | |||
# yes, several types of sys info collected, include profiling and crahes | |||
# yes | |||
# yes | |||
# with some programming - yes | |||
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* ready for work linux kernel, supports some logging services and crashdump | * ready for work linux kernel, supports some logging services and crashdump |
Revision as of 08:55, 22 January 2013
In order to automatically service and track test requests, as well as deploy testing resources, an upper-level test automation framework would sit "on top of" the Lustre test infrastructure.
Some requirements/desires for the automation framework:
- Aware of multiple clusters
- Able to create virtual clusters as VMs
- Able to automatically start testing based on various triggers, e.g. git commit hooks
- Maintains a prioritizable job queue
- Collect test output status in a database
- Visually represent pass/failure in a clear, concise manner
- Should facilitate easy interpretation of test "trends"; i.e. statistical-based test results
Framework(with link) | Feature list
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More advantages | More disadvantages | |
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autotest
It is designed primarily to test the Linux kernel, though it is useful for many other functions such asqualifying new hardware. It used and developed by a number of organizations, including Google, IBM, Red Hat, andmany others. Developed on Python |
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in server mode:
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STAF
The Software Testing Automation Framework (STAF) is an open source, multi-platform, multi-language framework, lead by IBM Core developed on C. You can interact with STAF from many languages (Java, C, C++, Python,Perl, Tcl, Rexx) and from the command line/shell prompt. |
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robotframework
Robot Framework is a python-based an open source generic test framework. |
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Xperior
Xperior is an open source framework developed on Perl by Xyratex for executing lustre tests from current shell-based testing framework. More info was presented at LAD '12. |
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