- Outcomes of a project on merging software models led by Dr Hoa Dam with researchers at Johannes Kepler University (Austria) and University of Otago (New Zealand) has recently been published in the highly-regarded Journal of Systems and Software. Earlier results of this research have won a Best Paper Award at the 11th Working IEEE/IFIP Conference on Software Architecture.
- DSL fast growing research on Big Data analytics for software engineering (by PhD student Morakot Choetkiertikul, Dr Hoa Dam, and Prof. Aditya Ghose) scored another major success with a paper at the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), one of the top conferences in software engineering with an acceptance rate of 20.8%.
- DSL authors Karthikeyan Ponnalagu, Prof. Aditya Ghose and Dr. Hoa Dam celebrate a major paper success at the BPM-2015 conference (the premier – and highly selective with a 17% acceptance rate – venue for business process management) with a paper that offers ways to use semantic annotation and goal-oriented analysis to manage variability in business process instances.
- DSL authors Morakot Choetkiertikul, Dr. Hoa Dam and Prof. Aditya Ghose have won the ACM SIGSOFT Distinguished Paper Award for their work on mining risk indicators for software projects.
- DSL authors Metta Santiputri, Prof. Aditya Ghose, Dr. Hoa Dam celebrate a major paper success at the ER-2015 conference (the premier venue for conceptual modeling) for the first-ever solution to the problem of mining causal links between business processes and task post-conditions.
- DSL authors Ayu Saraswati, Prof. Aditya Ghose, Dr. Hoa Dam and Dr. Chee-Fon Chang celebrate a major paper success at the ER-2015 conference (the premier venue for conceptual modeling) for the first reported attempt at data-driven extraction of enterprise architectures.
- Prof. Aditya Ghose has been elected Chair of the Steering Committee of the PRIMA (Principles and Practice of Multi-Agent Systems) conference series.
- A project led by Dr. Hoa Dam and PhD student Morakot Choetkiertikul has delivered important advances in our ability to predict risk by mining social media. A paper reporting results in the context of risk prediction for software development projects will be reported at the 12th Working Conference on Mining Software Repositories.