Abstract

The development of the group based on the machine learning process is being generated with the support of software analysis. Development of the ideas is being generated and proper predictions about the research topic have been determined. Moreover, improving the problem-solving capacity is being generated and it helps to analyze the hybridized approaches. Analytical data is defined in this portion. Moreover, the prediction of the machine learning capacity is highlighted and it tries to focus on the software-based system. On the other hand, the input of the attribution is highlighted and it helps to improve the significance value of the research topic. Assisting activities have to be generated and the growth of the organization has to be highlighted.

Keywords:
Computer science Process (computing) Software Focus (optics) Artificial intelligence Machine learning Software development Software development process Software engineering Data mining Programming language

Metrics

1
Cited By
0.26
FWCI (Field Weighted Citation Impact)
18
Refs
0.55
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical and Computational Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

Related Documents

BOOK-CHAPTER

Software Defect Prediction Using Machine Learning Techniques

G. CauveryDhina SureshG. AswiniP. JayanthiK. Kalaiselvi

Advances in computational intelligence and robotics book series Year: 2023 Pages: 180-195
JOURNAL ARTICLE

Software defect prediction using machine learning techniques

Nitin KumarOm Prakash SangwanSunita Beniwal

Journal:   AIP conference proceedings Year: 2025 Vol: 3394 Pages: 040004-040004
JOURNAL ARTICLE

Software Defect Prediction Using Machine Learning Techniques

C. Lakshmi PrabhaN. Shivakumar

Journal:   2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Year: 2020 Pages: 728-733
© 2026 ScienceGate Book Chapters — All rights reserved.