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An open-source natural language processing toolkit to support software development: addressing automatic bug

Cristian Robledo1, Francesca Sallicati1, Gaël de Chalendar2

  • 1Tree Technology, Llanera, Asturias, Spain.

Open Research Europe
|April 24, 2024
PubMed
Summary
This summary is machine-generated.

The DECODER project developed a framework using natural language processing (NLP) and software engineering to aid developers. This Persistent Knowledge Monitor (PKM) enhances code documentation, bug detection, and productivity for software development teams.

Keywords:
Code SummarisationDeep LearningNatural Language ProcessingSemantic ParsingSoftware EngineeringVariable Misuse

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Area of Science:

  • Computer Science
  • Software Engineering
  • Natural Language Processing

Background:

  • Software development generates vast amounts of data and knowledge.
  • Effective management and utilization of this knowledge are crucial for productivity and quality.
  • Existing tools often lack integrated solutions for knowledge monitoring and developer assistance.

Purpose of the Study:

  • Introduce the DECODER project's framework for managing software development knowledge.
  • Highlight the integration of Natural Language Processing (NLP) tools within the Persistent Knowledge Monitor (PKM).
  • Demonstrate how NLP enhances developer tasks like bug detection and code documentation.

Main Methods:

  • Development of the Persistent Knowledge Monitor (PKM) as a central knowledge base.
  • Integration of deep learning models for variable misuse detection, code summarization, and semantic parsing.
  • Creation of a user interface tailored for developers, maintainers, and reviewers.
  • Training and validation using four use cases in Java, C, and C++.

Main Results:

  • Successful integration of NLP tools into the PKM framework.
  • Demonstrated improvements in developer productivity through automated documentation and bug detection.
  • Validation of tool performance, suitability, and usability across multiple programming languages.
  • Creation of a queryable knowledge base accessible via a user-friendly interface.

Conclusions:

  • The DECODER project successfully links NLP and software engineering to create a valuable developer companion.
  • The Persistent Knowledge Monitor (PKM) framework enhances software development lifecycle management.
  • The developed NLP tools significantly assist developers in daily tasks, boosting efficiency and reducing manual effort.