Abstract: An action-based in-process software defect prediction (ABDP) applies classifying records of a performed action to predict whether subsequent actions cause defects in a project. A performed action is previously defined herein as an operation performed based on tasks in Work Breakdown Structure (WBS) of the project. Rather than focusing on the reported defects, ABDP discovers the patterns of the performed action that may cause defects composing a historic data set, and uses analytical results to predict whether the subsequent actions are likely to generate defects composing another historic data set. Once actions with high probability of causing the defects are identified, stakeholders review these actions carefully and take appropriate corrective actions to create a fresh performed action. The fresh performed action is continually appended to the historic data sets of amending the defects to construct a new prediction model for further subsequent actions.

Abstract: A service recommendation system, an operating method thereof, and a device containing computer software are provided. The system includes a label module, a service equipment, and a server device. The label module having an ID data of the user is carried by a user. The service equipment has a detection module and a control interface. The detection module obtains and outputs the ID data. The server device includes a database, a determination module, and a service setting module. The database stores a standard model and a user model. The determination module matches the ID data to the database. When the user model corresponding to the ID data exists in the database, the service setting module sets an operating mode according to the user model. When the user model corresponding to the ID data does not exist, the service setting module sets an operating mode according to the standard model.

Abstract: A system and a method for preloading individual parameters are presented. The system includes a server, a labeling device, an intermediate device, and a measuring device. The server is used for storing a plurality of individual parameters, and the labeling device is used for recording user characteristic data. In the method, the intermediate device detects a position of the labeling device, obtains the user characteristic data thereof, and downloads the matching individual parameter from the server. Afterward, when it is detected that the measuring device is actuated and the labeling device is determined to be located at a particular position on the periphery of the measuring device, the individual parameter matching the user characteristic data of the labeling device is output to the measuring device for setting. Thereby, the present invention saves the trouble for users moving with difficulty to log in the server, and simplifies the operation.

Abstract: An action-based in-process software defect prediction (ABDP) applies classifying records of a performed action to predict whether subsequent actions cause defects in a project. A performed action is previously defined herein as an operation performed based on tasks in Work Breakdown Structure (WBS) of the project. Rather than focusing on the reported defects, ABDP discovers the patterns of the performed action that may cause defects composing a historic data set, and uses analytical results to predict whether the subsequent actions are likely to generate defects composing another historic data set. Once actions with high probability of causing the defects are identified, stakeholders review these actions carefully and take appropriate corrective actions to create a fresh performed action. The fresh performed action is continually appended to the historic data sets of amending the defects to construct a new prediction model for further subsequent actions.