FNRS-Identifying Fingerprints Of Structural Code Deficiencies In Object Oriented Software

The list of contributors to the project. The best is to link towards their profile page on this site

Ex. Kim Mens

No website available yet. Otherwise fill it in below and remove comment.

The logo image filename. You will have to upload it by clicking on the Attach link after saving this page.

This variable must remain empty during the lifetime of the project. Set it to anything as soon as the project is finished.

A list of tags separated by blank spaces.

, , , , , , , , , , , , , ,
This collaborative project between RELEASeD and Prof. Gabriela Arevalo at the Centro de Altos Estudios en Tecnología Informática – Universidad Abierta Interamericana, will study the appropriateness of metrics and thresholds to identify structural degradation in source code. Our labs have used previously Formal Concept Analysis to detect source code regularities as well as their violations. The goal of the project is to use this approach to identify key structural metrics to detect certain bad smells. The metrics will be compared against other approaches used to reverse engineer source code based on structural relations. The analysis would be done by cataloging metrics and bad smells found in Open Source projects (and if possible in commercial applications), evaluating the suitability of different metrics and their thresholds to express structural degradation, and automatically detecting the best combination of metrics to detect bad smells.
Total budget
The project finances a total of four trips of two week during 2012 and 2013.
September 2011 - August 2013
Kim Mens, Angela Lozano and Prof. Gabriela Arevalo