Home / Research Articles Hub / International Journal of Scientific & Engineering...
⚙️ Engineering & Technology OpenAlex

International Journal of Scientific & Engineering Research

📅 Published: December 18, 2021 👤 Tankala Divya Kumari 📖 Zenodo (CERN European Organization for Nuclear Research) 📊 784 citations
AI-Generated Summary

-Programmers frequently write code that can be similar to existing code which may be written somewhere. So, a new approach for code suggestion can be developed which takes a code snippet (partial code) as input and which can recommend several succinct source codes.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 An approach could help programmers to complete partially written code snippets to implement necessary functionality, help to discover extended lines of code to the partial code which are commonly used statements by other programmers, help to cross-check against similar code written by other programmers and also helps in fixing common mistakes and errors.
  • 2 Although there are many existing techniques which could potentially be used to get code suggestions.
  • 3 For example, code-to-code search tools could retrieve relevant code snippets from a corpus using a partial code snippet as query.
Why It Matters

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Engineering & Technology Papers ← Back to Hub 📚 Learning Hub