Dynamic Resource Scheduling in Disruption-Prone Software Development Environments

Abstract

Abstract. Good resource scheduling plays a pivotal role in successful software development projects. However, effective resource scheduling is complicated by such disruptions as requirements changes, urgent bug fixing, incorrect or unexpected process execution, and staff turnover. Such disruptions demand immediate attention, but can also impact the stability of other ongoing projects. Dynamic resource rescheduling can help suggest strategies for addressing such potentially disruptive events by suggesting how to balance the need for rapid response and the need for organizational stability. This paper proposes a multiobjective rescheduling method to address the need for software project resource management that is able to suggest strategies for addressing such disruptions. A genetic algorithm is used to support rescheduling computations. Examples used to evaluate this approach suggest that it can support more effective resource management in disruption-prone software development environments.

Workflow Management System for the Integration of Mobile Robots in Future Labs of Life Sciences

“…For the accomplishment, a dynamic scheduling was selected, which can initiate rescheduling procedures dependent on arising unexpected events to adapt the sequence for new environmental conditions. Compared to static scheduling solutions, this approach offers a higher agility and considerably increased system stability for the workflow execution , . Compared to the event‐driven rescheduling, the hybrid approach (periodical/event‐driven), according to , obtains better performance for the result, but requires a more frequent accomplishment of the rescheduling procedure instead.…”

Experience modeling and analyzing medical processes

“…To address these challenges we have developed the ROMEO resource manager designed to support accurate specification of the constraints and the dynamic nature of the behaviors of healthcare resources, and TWINS, an incremental resource scheduling system [23] designed to support the kind of scheduling flexibility that replicates what actually happens in a highly disruption-prone environment, such as a hospital Emergency Department. A ROMEO specification of a healthcare resource consists of a set of Little-JIL steps that the resource is potentially capable of performing, where each step is "guarded" by a specification of the circumstances under which the step can actually be performed.…”

Dynamic Multiobjectives Optimization With a Changing Number of Objectives

“…In project scheduling, we usually want to minimize the makespan and total salary cost simultaneously. However, given a tighter deadline must be met, the salary cost may not be important and would not be considered as an objective any longer under the new circumstance [23][24][25]. In some other examples, if an application is running on a system with a wired power supply, there is no need to consider the energy consumption [26].…”