#SOFTWARE DEVELOPMENT PROJECT SCHEDULE EXAMPLE SOFTWARE#

#SOFTWARE DEVELOPMENT PROJECT SCHEDULE EXAMPLE SOFTWARE#

Our previous task-based model can be considered an early effort to apply GAs in the software project management environment, much as timeline-based model does. Since no single GA approach can consistently perform best in all problems, different GAs should be designed and tuned for software project scheduling problems. including search-based software project scheduling in which GAs are considered popular methods. A general introduction and survey of recent achievements in Search Based Software Engineering can be found in the work by Harman et al. In software project optimization fields, stochastic search methods have also been widely used. Ever since, GAs have been used by many researchers to study scheduling problems and its variations. One of these techniques is GA, introduced in the 1970s by John Holland. Heuristic approaches are typically preferred for solving large-scale problems. Several researchers compare the results from heuristic and metaheuristic techniques when solving resource-constrained scheduling problems. Conducting case studies and empirical studies.Applying a hybrid approach based on a Genetic Algorithm (GA) and Hill Climbing (HC) considering both efficiency and stability.Proposing a software project scheduling/rescheduling framework which supports dynamic staffing and rescheduling.In this paper, the following work related to our model and approach is reported. Therefore, the main goal of our current work is to do the scheduling and rescheduling model in which optimal control strategies could be computed with reasonable complexity. To the best of our knowledge, the previous researches fall short of adequately explaining human capabilities to conquer the complex and dynamic nature of software project management. However, the rescheduling problem is not emphasized sufficiently in the literature of scheduling models. To prevent ineffectual project control which is also the main cause of over-budget and behind-schedule projects, an efficient rescheduling approach needs to be carefully designed to make the project back to the track. When factors change or status becomes bad to projects, project control actions are taken and schedule must be revised to follow the change. Therefore, to make a more realistic and reasonable schedule, productivity factors, such as learning, schedule pressure, should also be considered in software project management. Significant productivity differences do exist among software developers. However, most resource-constrained scheduling techniques focus on the availability of resources instead of the resource productivity. To solve this problem, researchers have developed several approaches to efficiently assign employees to tasks. It is difficult for software project managers to meet budget and schedule constraints set by its stakeholders. Software project process is not a rigorous engineering process because scheduling schemes can be influenced by various dynamic elements including the skills of engineers, the growth of those skills, and cooperation in teams etc.

Software development project schedule example