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      • Where Should We Fix This Bug? A Two-Phase Recommendation Model

        Dongsun Kim,Yida Tao,Sunghun Kim,Zeller, Andreas IEEE 2013 IEEE transactions on software engineering Vol.39 No.11

        <P>To support developers in debugging and locating bugs, we propose a two-phase prediction model that uses bug reports' contents to suggest the files likely to be fixed. In the first phase, our model checks whether the given bug report contains sufficient information for prediction. If so, the model proceeds to predict files to be fixed, based on the content of the bug report. In other words, our two-phase model 'speaks up' only if it is confident of making a suggestion for the given bug report; otherwise, it remains silent. In the evaluation on the Mozilla 'Firefox' and 'Core' packages, the two-phase model was able to make predictions for almost half of all bug reports; on average, 70 percent of these predictions pointed to the correct files. In addition, we compared the two-phase model with three other prediction models: the Usual Suspects, the one-phase model, and BugScout. The two-phase model manifests the best prediction performance.</P>

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        Experimental studies on torsional stiffness of cycloid gear based on machining parameters of tooth surfaces

        Zhifeng Liu,Tao Zhang,Yida Wang,Congbin Yang,Yongsheng Zhao 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.6

        Estimating the torsional stiffness has always been the primary issue in analyzing the dynamic characteristics of cycloid gears. The traditional method of obtaining torsional rigidity involves calculating the ratio of the input torque and rotation angle, treating the deformation of cycloid gear as a black box. In order to thoroughly understand the rotation angle caused by the local contact deformation of each cycloid pin gear, a Majumdar–Bhushan contact model and the finite element method are combined to express the normal contact stiffness. By multiplying the normal contact stiffness of each pin gear and the arm of normal contact force, the torsional stiffness of the cycloidal pin wheel system can be calculated. Experiments are conducted to establish the relationship between the torsional stiffness and roughness parameters of the machined tooth surface. The effect of input torque on the torsional stiffness has also been analyzed. This study formulates a relationship between the torsional stiffness and surface characteristics of cycloid gears, which can help improve their design and manufacture in the future.

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