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- W4297161175 abstract "Sentiment analysis is used to analyze the impact of Git commit on various open-source Java projects. In order to understand the positive, negative, and neutral impact of sentiment on developer community, we have reviewed many research paper based on real-time projects. It is observed that emotion is having a wide impact on software product quality by considering different factors like software requirement, team management, and work distribution which contributes toward negative commit comments. Code commit analysis is either done on daily or weekly basis by considering 8 classifications of emotions. In order to do a detailed survey, different open-source projects like Eclipse, JEdit, ArgoUML, and JUnit are considered for commit analysis based on software refactoring activities. In order to give an exact statistical result on sentiment analysis, different machine learning and deep Learning classifiers can be used. Based on the survey, it is also concluded that code refactoring is highly influenced by positive or negative impact of developer’s emotions." @default.
- W4297161175 created "2022-09-27" @default.
- W4297161175 creator A5019939083 @default.
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- W4297161175 date "2022-09-27" @default.
- W4297161175 modified "2023-09-27" @default.
- W4297161175 title "Sentiment Analysis of Software Project Code Commits" @default.
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- W4297161175 doi "https://doi.org/10.1007/978-981-19-1412-6_7" @default.
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