THE USAGE OF REINFORCEMENT LEARNING (RL) IN CONSTRUCTING AND MAINTAINING SOFTWARE
Author(s):
PAVISHNA A M
Keywords:
Reinforcement learning, software maintaining, data mining, optimization.
Abstract
Let’s discuss about the basic concepts of reinforcement learning and how it can be applied to software development. Next, we present several case studies demonstrating the effectiveness of reinforcement learning in improving software quality. A case study focuses on using reinforcement learning to optimize software parameters in real time. Another case study shows how reinforcement learning can be used to provide personalized feedback to software agents, allowing them to learn from their mistakes and improve their performance over time. It also discusses the challenges and limitations of using reinforcement learning in software development. Overall, we believe that reinforcement learning has the potential to significantly improve software quality and make it more adaptable to changing environments.
Article Details
Unique Paper ID: 159808

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 792 - 796
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