• Re-conceptualizing business process models as sequences of goals to be achieved, as opposed to tasks to be performed, can radically transform business process management. A new paper reporting this novel conception of goal orchestrations (by Metta Santiputri, Aditya Ghose and Hoa Dam from the DSL, as well as Suman Roy from Infosys Labs) has been accepted at the 36th International Conference on Conceptual Modelling (ER-2017), the premier publication venue in this space (acceptance rate: 18%).
  • DSL’s Aditya Ghose delivered an invited talk at the 10th International iStar Workshop in Essen, Germany on June 12th, focusing on scaling up model acquisition using data analytics.
  • Predicting delivery capability in iterative software development can make a major difference to how software projects are costed and managed. A recent paper by DSL researchers Morakot Choetkiertikul, Hoa Dam and Aditya Ghose (together with colleagues from Deakin University) in the prestigious IEEE Transactions on Software Engineering (Scimago Q1) shows how such predictions can be effectively computed using cutting-edge data analytics/machine learning techniques.
  • Business processes need to be executed in dynamic settings which can impede successful execution in unpredictable ways. DSL researchers Yingzhi Gou, Aditya Ghose and Hoa Dam have developed a new technique for supporting robust business process execution using game-tree search (inspired in part by Google’s AlphaGo system). A paper reporting these results will appear in the CAISE-17 – a premier conference in this space (with acceptance rates between 13 – 21%).
  • DSL members Muhammad Asjad Khan and Joel Kocherry served as Organizing Chairs of the Service Science Society of Australia Annual Service Innovation Award event held at the Hilton on George St., Sydney, on Nov. 8th, 2016. The Chief Guest was the CEO of Service NSW.
  • A novel framework that leverages both data analytics and abduction to mine business process task post-conditions was reported by DSL authors Metta Santiputri, Aditya Ghose and Hoa Dam in a paper recently accepted by the prestigious Data and Knowledge Engineering Journal (Scimago Q1).