Open Access

ARTICLE

Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

Qazi Mazhar ul Haq¹, Fahim Arif^2,3, Khursheed Aurangzeb⁴, Noor ul Ain³, Javed Ali Khan⁵, Saddaf Rubab⁶, Muhammad Shahid Anwar^7,*

1 Department of Computer Science and Engineering and International Bachelor’s Program in Informatics, Yuan Ze University, Zhongli, Taoyuan, 320315, Taiwan
2 Department of Computer Science, National University of Pakistan, Rawalpindi, Punjab, 46000, Pakistan
3 Department of Computer Software Engineering, MCS, National University of Sciences and Technology, Islamabad, 44000, Pakistan
4 Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P. O. Box 51178, Riyadh, 11543, Saudi Arabia
5 Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, UK
6 Department of Computer Engineering, College of Computing and Informatics, University of Sharjah, Sharjah, 27272, United Arab Emirates
7 Department of AI and Software, Gachon University, Seongnam-SI, 13120, South Korea

* Corresponding Author: Muhammad Shahid Anwar. Email: