11th International Symposium on Intelligent Distributed Computing
11 – 13 October 2017, Belgrade, Serbia
13th October 2017, Belgrade, Serbia
Mining and analytics for software systems comprises the mining in large software archives for collecting empirical data and the use of the empirical data for answering specific research questions for further analysis like, e.g., fault prediction, effort prediction, or as input parameter for simulation purposes.
Software archives are often very large and contain heterogeneous structured and unstructured data from software versioning and revision control systems, issue tracking systems, mailing lists or test libraries. Software analytics often require the use of complex and computing intensive algorithms. Thus, mining and analytics of software systems require distributed and intelligent computing solutions, provided, e.g by multiagent systems. The results can be used for various simulation tasks, e.g. the evolution of software projects. Many such problems allow a natural modelling as a multi-agent system and simulating it can be a powerful method for interesting predictions.
This special session aims at bringing together researchers from different areas, while focussing on the particular topic “Simulation, Mining and Analytics for software systems”.
We invite contributions from the following non-exhaustive list of topics:
Authors are invited to submit short papers (6 pages) via the submission system https://easychair.org/conferences/?conf=idc2017 for the appropriate special track. All accepted papers will be published by Springer and are scheduled for presentation at IDC 2017, where at least one co-author must register.
|Notification of acceptance:||30.05.2017|
|Camera ready papers:||15.06.2017|
Authors of selected papers may be invited to submit a full paper for publication in Annals of Math and AI (or another journal if more appropriate).