Reconfigurability of Software Technology in the Big Data Era: A Petri Net Approach

This article examines the reconfigurability of software technology in the context of big data, addressing key challenges such as long development cycles, low software quality, and high maintenance costs. As software reuse technology becomes essential, refactoring emerges as a pivotal method to enhance software efficiency and quality by promoting modular design. This study proposes an automated software reconfiguration scheduling method based on Petri nets, which facilitates better management of software refactoring processes. The effectiveness of this method is compared with traditional scheduling models, including random scheduling and conflict matrix scheduling. The results demonstrate that the proposed Petri net scheduling tool significantly improves software metrics during reconstruction, enhancing the software's quality and maintainability. The findings highlight the importance of adopting advanced scheduling algorithms to optimize software development processes in the big data era, ultimately leading to more reliable and adaptable software solutions.