Software Defect Prediction(SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent years.However,the prediction of cross-project data remains a challenge ...Software Defect Prediction(SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent years.However,the prediction of cross-project data remains a challenge for the traditional SDP method due to the different distributions of the training and testing datasets.Another major difficulty is the class imbalance issue that must be addressed in Cross-Project Defect Prediction(CPDP).In this work,we propose a transfer-leaning algorithm(TSboostDF) that considers both knowledge transfer and class imbalance for CPDP.The experimental results demonstrate that the performance achieved by TSboostDF is better than those of existing CPDP methods.展开更多
Autonomous vehicles have been envisioned for more than 100 years.One of the first suggestions was a front cover of Scientific America back in 1916.Today,it is possible to get cars that drive autonomously for extended ...Autonomous vehicles have been envisioned for more than 100 years.One of the first suggestions was a front cover of Scientific America back in 1916.Today,it is possible to get cars that drive autonomously for extended distances.We are also starting to see micro-mobility solutions,such as the Nuro vehicles for pizza delivery.Building autonomous cars that can operate in urban environments with a diverse set of road-users is far from trivial.Early 2018 the Contextual Robotics Institute at UC San Diego launched an effort to build a full stack autonomous vehicle for micro-mobility.The motivations were diverse:i)development of a system for operation in an environment with many pedestrians,ii)design of a system that does not rely on dense maps(or HD-maps as they are sometimes named),iii)design strategies to build truly robust systems,and iv)a framework to educate next-generation engineers.In this paper,we present the research effort of design,prototyping,and evaluation of such a vehicle.From the evaluation,several research directions are explored to account for shortcomings.Lessons and issues for future work are additionally drawn from this work.展开更多
基金supported by the Army Weapons and Equipment Internal Research (No. LJ20191C080690)。
文摘Software Defect Prediction(SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent years.However,the prediction of cross-project data remains a challenge for the traditional SDP method due to the different distributions of the training and testing datasets.Another major difficulty is the class imbalance issue that must be addressed in Cross-Project Defect Prediction(CPDP).In this work,we propose a transfer-leaning algorithm(TSboostDF) that considers both knowledge transfer and class imbalance for CPDP.The experimental results demonstrate that the performance achieved by TSboostDF is better than those of existing CPDP methods.
基金The effort has been funded by UC San Diego through the Contextual Robotics Institute with support from Qualcomm.
文摘Autonomous vehicles have been envisioned for more than 100 years.One of the first suggestions was a front cover of Scientific America back in 1916.Today,it is possible to get cars that drive autonomously for extended distances.We are also starting to see micro-mobility solutions,such as the Nuro vehicles for pizza delivery.Building autonomous cars that can operate in urban environments with a diverse set of road-users is far from trivial.Early 2018 the Contextual Robotics Institute at UC San Diego launched an effort to build a full stack autonomous vehicle for micro-mobility.The motivations were diverse:i)development of a system for operation in an environment with many pedestrians,ii)design of a system that does not rely on dense maps(or HD-maps as they are sometimes named),iii)design strategies to build truly robust systems,and iv)a framework to educate next-generation engineers.In this paper,we present the research effort of design,prototyping,and evaluation of such a vehicle.From the evaluation,several research directions are explored to account for shortcomings.Lessons and issues for future work are additionally drawn from this work.
