The research on software project schedule prediction and controlling
Boru Xu, Aihua Ren, Sidou Dong, Xin Wang
Abstract
Open-access reader
Boru Xu, Aihua Ren, Sidou Dong, Xin Wang
Abstract
Open-access reader
The control of software project schedule has been the emphasis and difficulty of software project management.Many software companies are focus on qualitative predicting and controlling of project schedule.Lacking of quantitative prediction of project schedule, it is difficult to quantitatively manage project schedule effectively.The paper proposes solutions for the problems of quantitatively predicting and controlling project schedule, and mines controllable factors that affect the schedule in each phase of project.The paper uses AHP method to select the key Schedule Factors, and establishes the relationship between the key Schedule Factors and the schedule variance.Finally, the paper combines Monte Carlo simulation method with software Process Performance Model, which is built by those key Schedule Factors, to create project schedule variance forecasting model.The paper adjusts the Schedule Factors in the predicting model to achieve the controlling of project schedule.
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The control of software project schedule has been the emphasis and difficulty of software project management.Many software companies are focus on qualitative predicting and controlling of project schedule.Lacking of quantitative prediction of project schedule, it is difficult to quantitatively manage project schedule effectively.The paper proposes solutions for the problems of quantitatively predicting and controlling project schedule, and mines controllable factors that affect the schedule in each phase of project.The paper uses AHP method to select the key Schedule Factors, and establishes the relationship between the key Schedule Factors and the schedule variance.Finally, the paper combines Monte Carlo simulation method with software Process Performance Model, which is built by those key Schedule Factors, to create project schedule variance forecasting model.The paper adjusts the Schedule Factors in the predicting model to achieve the controlling of project schedule.
Key concepts: Schedule, Software project management, Computer science, Project management, Project planning, Key schedule, Software, Project portfolio management