An extensive evaluation of ensemble techniques for software change prediction
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2156
Abstract: Predicting the areas of the source code having a higher likelihood to change in the future represents an important activity to allow developers to plan preventive maintenance operations. For this reason, several change prediction models… read more here.
Keywords: ensemble techniques; change prediction; change; prediction models ... See more keywords
Simplified abstract syntax tree based semantic features learning for software change prediction
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2445
Abstract: Software change prediction aims to identify the change‐prone parts of source code, which can help software practitioners allocate resources more efficiently, increase the quality of software products, and reduce maintenance costs. In recent years, researchers… read more here.
Keywords: syntax; semantic features; software; change prediction ... See more keywords
A XGBoost-Based Lane Change Prediction on Time Series Data Using Feature Engineering for Autopilot Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3170628
Abstract: Road accidents wreck lives. Could technology stop them from happening? Driving better road safety with technology and artificial intelligence are the key elements considered by several carmakers. The key aspect of transportation in the future… read more here.
Keywords: time; change prediction; feature; lane change ... See more keywords