Software Defect Prediction using Cutting Edge Clustering Module and Machine Learning-Reference-Cited by-同舟云学术

Software Defect Prediction using Cutting Edge Clustering Module and Machine Learning

Published:2022-09-21 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Nandwana Prasheel¹,Lenka Sushant²,Khatri Pranav³,Khan Zoheib Tufail⁴,Sakhare Divya⁵,Salunkhe Akshata⁵

Affiliation:

1. PES Institute of technology,Department of Electronics and Communication Engineering,Bangalore,India

2. Manipal Institute of Technology,Department of Electronics and Communication Engineering,Manipal,India

3. VIT Vellore,Department of Information Technology,Vellore,India

4. Zakir Husain College of Engineering and Technology,Department of Mechanical Engineering,Aligarh,India

5. Mksss cummins college of engineering,Department of Electronics and communication engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985569.pdf?arnumber=9985569

Reference24 articles.

1. Ineffectiveness of Use of Software Science Metrics as Predictors of Defects in Object Oriented Software

2. Analysis of Software Sizing and Project Estimation prediction by Machine Learning Classification

3. Software defect prediction model based on LLE and SVM

4. Reliable Automated Software Testing Through Hybrid Optimization Algorithm;subarna;Journal of Ubiquitous Computing and Communication Technologies (UCCT),2020

5. Poster: Bridging Effort-Aware Prediction and Strong Classification - A Just-in-Time Software Defect Prediction Study;guo;2018 IEEE/ACM 40th International Conference on Software Engineering Companion (ICSE-Companion) ICSE-Companion,2018