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Bots in software engineering: a systematic mapping study.

Sivasurya Santhanam1, Tobias Hecking1, Andreas Schreiber1

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Summary
This summary is machine-generated.

This study categorizes bots in software engineering, analyzing their applications and characteristics. It provides a comprehensive overview, identifying research gaps and developer perceptions for future exploration.

Keywords:
BotSEBotsConversational AIDigital assistantsSoftware engineering

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Area of Science:

  • Computer Science
  • Software Engineering

Background:

  • Advancements in machine learning and natural language processing have enabled bots to transition from research prototypes to practical applications.
  • Bots in software engineering encompass a wide range of tools, from automated scripts to autonomous decision-making systems.
  • A comprehensive categorization of these diverse bots is necessary due to their broad spectrum of applications.

Purpose of the Study:

  • To systematically map and categorize bots used in software engineering.
  • To analyze the characteristics, applications, and research trends of bots in this domain.
  • To identify potential research areas and understand developer perceptions of bots.

Main Methods:

  • A systematic mapping study was conducted, analyzing research articles on bots in software engineering.
  • The study focused on classifying bots based on their application, characteristics, and research focus.
  • Data was gathered and analyzed to provide an overview of the field.

Main Results:

  • Bots in software engineering are diverse, with varying applications and characteristics.
  • The study identified frequently researched areas and highlighted potential gaps for future research.
  • Developer perceptions of bots were also considered, offering insights into community views.

Conclusions:

  • This research provides a structured overview and classification of bots in software engineering.
  • It highlights the need for further exploration in specific research areas and understanding developer integration.
  • The findings offer valuable insights for researchers and practitioners in the field.