Method for predicting software workload of newly-added software project
A technology of software projects and forecasting methods, applied in the direction of program control devices, etc., can solve problems such as incomplete historical data
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[0047] The following will specifically illustrate the data mining-based software workload missing data repair and prediction methods:
[0048] The MITEP-DM method proposes a new software project workload prediction method based on incomplete software workload historical data, and gives the final software workload prediction model, that is, the posterior probability distribution of software projects for workload categories Among them, P (θ) (c t ) is the prior probability of workload category in historical data; P (θ) (X j |c t ) is the conditional probability of the software item attribute relative to the workload category; x ij for the i-th item in the j-th attribute X j The above value. The specific implementation process is mainly divided into the following four steps:
[0049] (1) Collect data from historical projects:
[0050] Because the ultimate goal is to quantify the workload required for new software projects, only the workload features associated with the s...
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