Special Issue on: "Data Mining Over Large Software and Courseware Repositories"



Guest Editors:
Rajkumar Kannan, Bishop Heber College (Autonomous), India
Frederic Andres, National Institute of Informatics, Japan; CVCE, Luxembourg



Software repositories such as source code, source control systems, personnel communication archives, clients communication archives, defect tracking logs, etc., are important sources for managing software projects. Similarly, online courseware repositories are exponentially increasing with the introduction of low cost recording and delivery devices. Software and courseware practitioners invariably accept the benefits of mining information to support maintenance of software and courseware systems.

Research is now progressing to uncover ways in which data mining these repositories help to understand software development and software evolution, to support predictions about software development, and to exploit this knowledge concretely in planning future development. Current research in educational data mining explores lecture structure, course customisation, interesting components in a lecture, identifying concepts and related concepts to plan new courseware designs in future.

The goal of this special issue is to bring out the best practices, current research and promising trends in software development and courseware development through the analysis of data stored in software and courseware repositories.


Subject Coverage


Papers may address issues along general themes which include but are not limited to the following:

Analysis of ecosystems and mining of repositories across multiple collections
Prediction of future software qualities and courseware qualities
Models of software project evolution
Classification and prediction of software defects
Prediction of courseware usability
Techniques to model reliability and defect occurrences
Retrieval techniques for finding suitable components and fragments for reuse
Analysis of change patterns and trends
Visualisation models of mined data
Techniques and tools for capturing new forms of data
Approaches, applications, and tools for software repository mining
Metamodels, exchange formats, and infrastructure tools for code sharing and reusability
Case studies on extracting data from repositories
Methods of integrating mined data from various historical sources

Notes for Prospective Authors


Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page



Important Dates


Manuscript due: 15 August, 2010

Notification of acceptance: 15 October, 2010

Revised paper due: 15 November, 2010

Submission of final revised paper: 30 November, 2010


Editors and Notes


You may send one copy in the form of a PDF file attached to an e-mail (details in Author Guidelines) to the following:


Prof. Rajkumar Kannan
Bishop Heber College (Autonomous)
Department of Computer Science
Tiruchirappalli
India. E-mail: rajkumar@bhc.edu.in

or

Prof. Frederic Andres
National Institute of Informatics
Tokyo, Japan. E-mail: andres@nii.ac.jp