The research on software project schedule prediction and controlling

DOI

10.2991/icmmcce-15.2015.443How to use a DOI?

Keywords

Project schedule management, project schedule control, schedule factor, AHP, Monte Carlo simulation.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmcce-15.2015.443
ID  - Xu2015/12
ER  -