Patent ID: 7856616
Filing Date: 2010-12-21
Classification: G06Q

Abstract:
1. An action-based in-process software defect prediction (ABDP) method, executing on a computer having a processor and a memory, comprising steps of: applying classifying records of performed actions to predict whether subsequent actions cause defects in a software project, wherein a performed action is previously defined as an operation performed based on tasks in Work Breakdown Structure (WBS) of the software project; discovering patterns of the performed action that causes defects that compose a first historic data set; using analytical results to predict whether the subsequent actions are likely to generate the defects that compose a second historic data set; reviewing and correcting the performed action and the subsequent actions by stakeholders to create a fresh performed action once the performed action and the subsequent actions with high probability of causing the defects are identified; appending the fresh performed action with the first and second historic data sets for amending the defects to construct a prediction model for further subsequent actions; applying Feature Subset Selection (FSS) in a data processing for creating data sets for a data analysis to create the prediction model; and functioning the prediction model to mine possible defects before executing the subsequent actions.