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CLuster And RepAir tool for introductory programming assignments

About

This is an implementation of the clustering and repair tool for introductory programming assignments, described in the following paper: Automated Clustering and Program Repair forIntroductory Programming Assignments (https://dl.acm.org/doi/10.1145/3192366.3192387 and https://arxiv.org/abs/1603.03165).

Dependencies

  • C compiler
  • Cython
    • $ sudo aptitude install cython (Debian)
    • # dnf install Cython (Fedora)
  • lpsolve 5.5 (development files and library)
    • $ sudo aptitude install lp-solve liblpsolve55-dev (Debian)
    • # dnf install lpsolve-devel (Fedora)

Installation & running

  • make (in this directory) installs a binary file called clara
  • Run clara help or see examples below.

Development

  • Create a new virtual environment (using virtualenv)
  • Install Cython (using pip install Cython inside the new virtual enviroment)
  • Run python setup.py develop

Debian note

On Debian system the following is required before running the tool: export LD_LIBRARY_PATH=/usr/lib/lp_solve/

Examples

The examples/ directory contains some example programs:

  • c1.py and c2.py are the correct examples from the paper
  • i1.py and i2.py are the incorrect example from the paper
  • c3.py is a constructed example.

Matching

To test matching between examples/c1.py and examples/c2.py on inputs [4.5] and [1.0,3.0,5.5] use:

clara match examples/c1.py examples/c2.py --entryfnc computeDeriv --args "[[[4.5]], [[1.0,3.0,5.5]]]" --ignoreio 1

This should output Match!.

To test matching between examples/c1.py and examples/c3.py on inputs [4.5] and [1.0,3.0,5.5] use:

clara match examples/c1.py examples/c3.py --entryfnc computeDeriv --args "[[[4.5]], [[1.0,3.0,5.5]]]" --ignoreio 1

This should output No match!.

Repair (on two programs)

To repair examples/i1.py using examples/c1.py on the same inputs as above, use:

clara repair examples/c1.py examples/i1.py --entryfnc computeDeriv --args "[[[4.5]], [[1.0,3.0,5.5]]]" --ingoreio 1

Clustering

To cluster correct programs on the same inputs as above use:

mkdir clusters
clara cluster examples/c*.py --clusterdir clusters --entryfnc computeDeriv --args "[[[4.5]], [[1.0,3.0,5.5]]]" --ignoreio 1

This should produce two clusters in the directroy clusters/ and two .json files with additional experssion extracted from the clusters.

Feedback

To produce feedback from the above clusters for an incorrect program, for example examples/i1.py, use:

clara feedback clusters/c*.py examples/i1.py --entryfnc computeDeriv --args "[[[4.5]], [[1.0,3.0,5.5]]]" --ignoreio 1 --feedtype python

Note

You can add --verbose 1 to any of the examples to obtain a more verbose output.

Known issues

May not work well on Python 3.8.

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CLuster And RepAir tool for introductory programming assignments

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