MUD 2014 invites contributions in the form of short papers (4 pages plus up to 2 pages for references). Submissions can be research papers, studies, experience reports, and papers discussing a work-in-progress on Mining Unstructured Data. Papers must not have been accepted elsewhere for publication or be under review at another workshop, conference, or journal.
All submitted papers should follow the IEEE Conference Publishing Services (CPS) formatting instructions and must not exceed 4 pages (including all text, figures) plus 2 pages maximum for references. Submissions are to be submitted online via the MUD 2014 EasyChair conference management system.
MUD 2014 encourages papers on the following (and related) topics:
- Mining unstructured data to support specific software engineering tasks (e.g., feature location, traceability link recovery, source code quality, etc.)
- Applications of NLP, IR, Machine Learning, AI, etc. approaches to mine unstructured software data
- Studies in mining unstructured software data
- Challenges and lessons learned in mining unstructured software data
- Success or failure stories of mining unstructured software data
- The future of mining unstructured software data