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MonoCov is a line coverage analysis program for mono. It can be used to
display coverage data collected while running a .NET program. There are two
parts in the tool: a profiler module which is used during the execution of
the program you want to gather coverage data from and a Gtk# user interface.
Recent Mono and Gtk# releases. You also need Mono.Cecil installed
or copied in the source dir and where the programs are run from.
The source release contains Mono.Cecil.dll and make install takes
care of installing it properly.
To produce coverage info for an .NET program, compile it with the -debug
switch to generate debug information. After this, run the program as follows:
$ mono --debug --profile=monocov prog.exe
This will produce a coverage data file called prog.exe.cov. You can run the
analyser program as follows:
$ mono monocov.exe prog.exe.cov
This will display the class hierarchy of the program with the corresponding
coverage information.
It is also possible to filter the list of classes which need coverage data
generated. Filters are string which are applied agains the fully qualified
names of classes, e.g. [assemblyname]classname. You can specify filters
directly on the command line:
$ mono --debug --profile=monocov:-Security,-[System.Xml] prog.exe
There are two types of filters: include filters, whose name begins with '+',
and exclude filters, whose name begins with '-'. Include filters are checked
before exclude filters.
For example:
$ mono --debug --profile=monocov:+[mscorlib],-Hashtable prog.exe
This will collect coverage info for all classes in corlib, except the ones
whose name contains 'Hashtable'.
The collected coverage data can be browsed using the monocov program.
This program will read the data file produced by the profiler module, and
display its contents in a hierarchical fashion.
It is also possible to export the contents of a data file into XML, which
can be viewed in an XSL capable browser like mozilla.
To export the data as XML, run monocov like this:
monocov --export-xml=<DEST DIR> <DATA FILE NAME>
The generated XML files use a default stylesheet which is a bit ugly. It would
be good if somebody could contribute a better one :)
To export the data as HTML, run monocov like this:
monocov --export-html=<DEST DIR> <DATA FILE NAME>
The --debug option to mono should not be required and it should be enabled
by default.
We disable mono's domain unload since we don't handle that case yet.
There are two utility programs included with MonoCov:
- symbols.exe: this program can be used to dump the line number information
contained in an mcs generated assembly.
- nunit-console.exe: this is a rewritten version of the original nunit console
program. It has the following features:
- easier to invoke: no stupid /assembly and /fixture arguments
- ability to run test fixtures whose name matches a given pattern, like
all the System.IO tests.
- ability to exclude tests whose name matches a given pattern.
- display of more detailed progress information.
- Add ability to run the program from inside the analyzer
- Add filters (globals/per program)
- Handle nested classes more intelligently
Zoltan Varga (
Jacob Ilsø Christensen (
or preferably
the mono devel list (
- Methods with strange debugging info:
- System.Collections.Hashtable..cctor()
- SortedList+SynchedSortedList::this [key]
- SortedList+SynchedSortedList::Clear ()
- System.Text.RegularExpressions.Capture
- If trans.gif is missing from the export directory:
- when viewing HTML, it doesn't matter
- when viewing XML, it matters
- How can a bar be created without using an image ?
- Add private paths used during data collection to the paths used to search for
- add 'include' and 'exclude' to filters
- Implement merging of coverage results
- put namespaces above classes in the hierarchy
- handle missing source files
- Scintilla
- html output (with XSLT)
- use Xml serialization in SyntaxHighlighter
- speed up test suite generation in nunit (or in mono)
- namespaces & filtering ???
- fix StackTrace tests
- add ability to exclude some appdomains (like the nunit main appdomain)
so the tests will run faster.
- avoid instrumentation for instruction without side effects (like ldc.i4)
- why does the RSA tests take so much time -> because of entropy generation
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