- Copyright (C) 2009-2015 University of Passau, Germany
All rights reserved.
cppstats is covered by the GNU Lesser General Public License.
The full license text is distributed with this software. See the LICENSE.LESSER
file.
- Jörg Liebig joliebig@fim.uni-passau.de, University of Passau
- Claus Hunsen hunsen@fim.uni-passau.de, University of Passau
- Andreas Ringlstetter andreas.ringlstetter@gmail.com, OTH Regensburg
cppstats is a suite of analyses for measuring C preprocessor-based variability in software product lines.
Currently, cppstats supports following analyses:
general
,generalvalues
,discipline
,featurelocations
,derivative
, andinteraction
.
For detailed information on each kind of analysis, please refer to the corresponding paragraph below in this file.
For further information, please see the tool's homepage at: http://www.fosd.net/cppstats
Details of the latest version can be found on the cppstats project site at GitHub under https://github.com/clhunsen/cppstats/.
- srcML (http://www.srcml.org/)
- astyle (http://astyle.sourceforge.net/)
- libxml2 (http://www.xmlsoft.org/)
- xsltproc (http://xmlsoft.org/XSLT/xsltproc2.html)
- gcc (https://gcc.gnu.org/)
- Python requirements from
setup.py
cppstats should be runnable under following systems:
- Linux/Ubuntu,
- Mac OS X, and
- Cygwin.
Please see the file called INSTALL.md
for detailed instructions for each
system.
In detail, cppstats was successfully tested under:
- Ubuntu 12.04, Python 2.7.*, and
- Cygwin, Python 2.7.*.
Right now, Python 3.x is NOT supported.
-
Install cppstats using
sudo python setup.py install
. -
Supply cppstats with the appropriate paths in
cppstats_input.txt
-
use full paths like
/local/repos/mpsolve/mpsolve-2.2
-
each project folder given in the file has to be structured as follows:
> /local/repos/cpp-history/mpsolve/mpsolve-2.2/ > source/ (here are the C source files)
-
-
Then run:
$ cppstats --kind <K>
<K>
must be one of the analyses listed in the introduction. Also, have a look oncppstats --help
for further command line options. -
The output files for each analysis are written to the folders given in the file
cppstats_input.txt
.
-
GENERAL
- Measurement of CPP-related metrics regarding scattering, tangling, and nesting
- returns a list of metrics for each file, and a list of metric values for the whole project folder
-
GENERALVALUES
- Calculation of scattering, tangling, and nesting values
- allows deactivation of the rewriting of
#ifdefs
to get a 'pure' result- rewriting changes
#else
branches from no used constant to the negation of the corresponding#if
clause
- rewriting changes
- returns a list for each characteristic, which
#ifdef
or configuration constant has which value (merged and unmerged)- unmerged: each
#ifdef
expression is counted once per file - merged: each
#ifdef
expression is counted once per project
- unmerged: each
-
DISCIPLINE
- Analysis of the discipline of used CPP annotations
- returns the number of occurences for the categories listed below
- (1) check top level siblings (compilation unit)'
- (2) check sibling (excludes check top level siblings; NOT CLASSIFIED)'
- (4) check if-then enframement (wrapper)'
- (8) check case enframement (conditional)'
- (16) check else-if enframement (conditional)
- (32) check param/argument enframement (parameter)
- (64) check expression enframement (expression)
- (128) check else enframement (NOT CLASSIFIED)
-
FEATURELOCATIONS
- Analysis of the locations of CPP annotation blocks in the given file or project folder
- returns a table with the following headers:
- file
- starting line
- end line
- type of the annotation (
#if
,#elif
,#else
) - the
#ifdef
expression -- involved configuration constants
-
DERIVATIVE
- Analysis of all derivatives in the given project folder
- returns all CPP annotations that involve shared code (expression
contains
&&
)
-
INTERACTION
- Analysis of pair-wise interactions of configurations constants that have been used alltogether in one expression (# of constants involved >= 3)
- (A, B, C) -> |(A, B)? (A, C)? (B, C)? ...|
-
When cppstats computes general stats (
--kind general
parameter), the reported granularity function level (GRANFL) also accounts for conditional elements within an array initialization or conditional field initializations when creating a struct variable. Example (for array):static const struct squashfs_decompressor *decompressor[] = { &squashfs_zlib_comp_ops, &squashfs_lzma_unsupported_comp_ops, #if defined(CONFIG_SQUASHFS_LZO) &squashfs_lzo_comp_ops, #else &squashfs_lzo_unsupported_comp_ops, #endif &squashfs_unknown_comp_ops };
The rationale behind such decision is that array/struct instance initializations can be interpreted as constructor procedure calls.