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Sentiment Analysis of Software Project Code Commits

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Next Generation of Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 445))

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.

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Author information

Authors and Affiliations

  1. School of Engineering and Technology Department of Computer Science and Engineering, GIET University, Gunupur, Odisha, India

    Archana Patnaik

  2. Department of Computer Science and Engineering, GIET University, Gunupur, Odisha, India

    Neelamadhab Padhy

Authors
  1. Archana Patnaik
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  2. Neelamadhab Padhy
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Corresponding author

Correspondence to Archana Patnaik .

Editor information

Editors and Affiliations

  1. GIET University, Gunupur, India

    Raghvendra Kumar

  2. KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  3. Faculdade de Engenharia da, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Patnaik, A., Padhy, N. (2023). Sentiment Analysis of Software Project Code Commits. In: Kumar, R., Pattnaik, P.K., R. S. Tavares, J.M. (eds) Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 445. Springer, Singapore. https://doi.org/10.1007/978-981-19-1412-6_7

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  • DOI: https://doi.org/10.1007/978-981-19-1412-6_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1411-9

  • Online ISBN: 978-981-19-1412-6

  • eBook Packages: EngineeringEngineering (R0)

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