Change propagation management by active batching
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Oh, Gyesik; Hong, Yoo S.
Institution: Seoul National University, Republic of (South Korea) Korea
Section: Design Methods and Tools
Incremental design causes changes to an existing product by modifying or adding sub-systems. In the perspective of development process management, changes prolong duration and raise cost with increasing design change jobs. The change management of a complex product is challenging since changes are stochastically propagated to multiple sub-systems. The present study proposes the novel change management method, active batching, to accommodate the complex and uncertain characteristics of change propagation. Active batching composes multiple probable change requests as a batch, based on the prediction of change propagation. It saves cost by eliminating multiple setups and redundant execution. It also avoids unnecessary waiting to compose a batch, which accelerates development process. Numerical study on software development project validates that active batching moves Pareto frontier line of project performance into the direction of less cost and short duration.