This presentation describes a study of two large, open-source software projects and proposes a model to support identifying technical debt with code comment analysis.
Authors: Nicolli S. R. Alves (Universidade Salvador), Leilane F. Ribeiro (Universidade Salvador), Vivyane Caires (Universidade Salvador), Thiago S. Mendes (Frauhofer Project Center for Software and System Engineering at UFBA), Rodrigo O. Spínola (Universidade Salvador)
This presentation discusses an ontology of terms for technical debt that classifies debt by the activity of the development process in which the debt was associated.
Authors: Carolyn Seaman (University of Maryland Baltimore County), Forrest Shull (Fraunhofer), Rodrigo O. Spínola (Fraunhofer Project Center for Software and System Engineering at UFBA), Antonio Vetro (Fraunhofer, Politecnico di Torino), Nico Zazworka (Fraunhofer)
A presentation from the Managing Technical Debt Workshop, held in May 2013 in conjunction with ICSE 2013.