The research on software project schedule prediction and controlling
Boru Xu, Aihua Ren, Sidou Dong, Xin Wang
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.443How to use a DOI?
- Project schedule management, project schedule control, schedule factor, AHP, Monte Carlo simulation.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Boru Xu AU - Aihua Ren AU - Sidou Dong AU - Xin Wang PY - 2015/12 DA - 2015/12 TI - The research on software project schedule prediction and controlling BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SP - 1180 EP - 1185 SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.443 DO - https://doi.org/10.2991/icmmcce-15.2015.443 ID - Xu2015/12 ER -