Academic Research Poster
Ai-Based Code Complexity Optimizer
Project IDPT-S26-19DDE6
Lead ResearcherUnaiza Tariq
Student IDF22CSC007
DepartmentComputer Science
SemesterSemester 4
Abstract
AI-Based Code Complexity Optimizer assembly programs. analyzes assembly code to measure complexity based on instruction count, loops, and memory usage. It uses rule-based AI techniques to detect redundant or inefficient instructions. The optimizer suggests improved instruction sequences while maintaining program functionality. The goal is to reduce code complexity and improve execution efficiency.
Research Team
Inshira KhanF22CSC037
Kashaf AtiqF22CSC034
Internal Supervision
Principal SupervisorSaadia Karim
Academic DivisionFaculty of Information Technology
Poster Actions
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