Software development projects have undergone remarkable changes with the arrival of agile development approaches. Many firms are facing a need to use these approaches to manage entities consisting of multiple projects (i.e. programs) simultaneously and efficiently. New technologies such as big data provide a huge power and rich demand for the IT application system of the commercial bank which has the characteristics of multiple sub-projects, strong inter-project correlation, and numerous project participating teams. Hence, taking the IT program management of a bank in China as a case, we explore the methods to solve the problems in multi-project concurrent development practice through integrating the ideas of program and batch management. First, to coordinate the multi-project development process, this paper presents the batch-based agile program management approach that synthesizes concurrent engineering with agile methods. And we compare the application of batch management between software development projects and manufacturing process. Further, we analyze the concurrent multi-project development practice in the batch-based agile program management, including the overlapping between stages, individual project’s activities, and multiple projects based on common resources and environment to stimulate the knowledge transfer. Third, to facilitate the communication and coordination of batch-based program management, we present the double-level responsibility organizational structure of batch management.
Convergence rate of Artificial Neural Networks for estimation in software development projects
