3rd Workshop on Mining Unstructured Data
Alberto Bacchelli, Nicolas Bettenburg, Latifa Guerrouj, and Sonia Haiduc
(Delft University of Technology, Netherlands; Queen's University, Canada; Polytechnique Montréal, Canada; Florida State University, USA)
Software development knowledge resides in the
source code and in a number of other artefacts produced during
the development process. To extract such a knowledge, past
software engineering research has extensively focused on mining
the source code, i.e., the final product of the development effort.
Currently, we witness an emerging trend where researchers strive
to exploit the information captured in artifacts such as emails
and bug reports, free-form text requirements and specifications,
comments and identifiers. Being often expressed in natural language,
and not having a well-defined structure, the information
stored in these artifacts is defined as unstructured data. Although
research communities in Information Retrieval, Data Mining and
Natural Language Processing have devised techniques to deal
with unstructured data, these techniques are usually limited in
scope (i.e., designed for English language text found in newspaper
articles) and intended for use in specific scenarios, thus failing
to achieve their full potential in a software development context.
The workshop on Mining Unstructured Data (MUD) aims to
provide a common venue for researchers and practitioners across
software engineering, information retrieval and data mining
research domains, to share new approaches and emerging results
in mining unstructured software engineering data. Through this
workshop, we aim to encourage cross-fertilization across different
research domains, and to document and evolve the state of the
art in mining unstructured data.
@InProceedings{WCRE13p491,
author = {Alberto Bacchelli and Nicolas Bettenburg and Latifa Guerrouj and Sonia Haiduc},
title = {3rd Workshop on Mining Unstructured Data},
booktitle = {Proc.\ WCRE},
publisher = {IEEE},
pages = {491--492},
doi = {},
year = {2013},
}