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