CUSTODES: A Technique for Automatic Spreadsheet Cell
Clustering and Smell Detection
In the website, you can obtain the following data of our spreadsheet
smell detection project and obtain a copy of our tool:
- 70 spreadsheet files (from the EUSES
dataset) used in our experiments
- Our manually marked cell clusters and smells (as an
approximation of ground truth)
- The smell detection results of our technique and other techniques under comparison
Please use the data and tool only for research purposes. Should you have any
questions, please contact Prof.
Shing-Chi Cheung (scc@cse.ust.hk).
Datasets and Experimental Results
You can download all data (~11 MB) here or download individual items below:
Obtain CUSTODES
Please leave your contact information and submit a request. Do not submit multiple requests.
We have also released an improved version of CUSTODES (called
CC2s) here.
Research Paper
S.C. Cheung, Wanjun Chen, Yepang Liu, and Chang Xu. CUSTODES: Automatic
Spreadsheet Cell Clustering and Smell Detection Using Strong and Weak
Features. In Proceedings of the 38th
International Conference on
Software Engineering (ICSE 2016), Austin, TX, USA, May 2016, pp. 464-475. [PDF][BibTex]
@inproceedings{icse2016,
author = {Cheung, S.C. and Chen, Wanjun and Liu,
Yepang and Xu, Chang},
title = {Automatic Spreadsheet Cell Clustering and
Smell Detection Using Strong and Weak Features},
booktitle = {Proceedings of the 38th International
Conference on Software Engineering},
series = {ICSE 2016},
year = {2016},
location = {Austin, TX, USA},
pages = {464--475},
numpages = {12}
}
Page maintained by
Yepang
Liu. Last update: April 19, 2017.