发明名称 |
METHOD AND SYSTEM FOR ESTIMATING THE PROGRESS AND COMPLETION OF A PROJECT BASED ON A BAYESIAN NETWORK |
摘要 |
A method for projecting the progress of a project, the project including work items, the method including: obtaining starting state transition probabilities for the work items in a first time interval; obtaining starting populations of the work items, wherein the starting populations of the work items include states of the work items at the beginning of the first time interval; determining expected distributions for the work item states at the end of the first time interval by using the starting state transition probabilities and the starting populations; identifying actual states for the work items at the end of the first time interval; determining actual state transition rates of the work items for the first time interval by using the starting populations and the actual states; and determining expected future state transition probabilities for the work items by using the starting state transition probabilities and the actual state transition rates. |
申请公布号 |
US2016004982(A1) |
申请公布日期 |
2016.01.07 |
申请号 |
US201414323317 |
申请日期 |
2014.07.03 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
Cantor Murray R.;Duesterwald Evelyn;Klinger Tamir;Sutton, JR. Stanley M.;Tarr Peri L. |
分类号 |
G06Q10/06;G06N7/00 |
主分类号 |
G06Q10/06 |
代理机构 |
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代理人 |
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主权项 |
1. A method for projecting the progress of a project, over one or more time intervals, the project including a plurality of work items, the method comprising:
obtaining starting state transition probabilities for the work items in a first time interval; obtaining starting populations of the work items, wherein the starting populations of the work items include states of the work items at the beginning of the first time interval; determining expected distributions for the work item states at the end of the first time interval by using the starting state transition probabilities and the starting populations; identifying actual states for the work items at the end of the first time interval; determining actual state transition rates of the work items for the first time interval by using the starting populations and the actual states; and determining expected future state transition probabilities for the work items by using the starting state transition probabilities and the actual state transition rates. |
地址 |
ARMONK NY US |