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As Artificial Intelligence (AI) continues to evolve, its integration into the Software Development Life Cycle (SDLC) offers opportunities to streamline workflows, reduce errors, and accelerate development. Despite these benefits, many organizations lack awareness of AI’s potential, resulting in slower product development and increased costs. This study explores how AI enhances each SDLC phase and examines associated risks and mitigation strategies to maintain software security. Key research questions address workforce perceptions of AI, its major benefits and drawbacks, and which SDLC phases gain the most from its adoption. By answering these questions, the study provides insight into AI’s impact on software development and evaluates industry readiness for AI-driven transformation.

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Automating Innovation: AI’s Impact on Software Development Lifecycle

  • 会议论文

  • 发表日期：

    2026年

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  • Max Dombrowski,
  • Katia Maxwell

摘要

As Artificial Intelligence (AI) continues to evolve, its integration into the Software Development Life Cycle (SDLC) offers opportunities to streamline workflows, reduce errors, and accelerate development. Despite these benefits, many organizations lack awareness of AI’s potential, resulting in slower product development and increased costs. This study explores how AI enhances each SDLC phase and examines associated risks and mitigation strategies to maintain software security. Key research questions address workforce perceptions of AI, its major benefits and drawbacks, and which SDLC phases gain the most from its adoption. By answering these questions, the study provides insight into AI’s impact on software development and evaluates industry readiness for AI-driven transformation.