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Empowering Business Transformation: The Positive Impact and Ethical Considerations of Generative AI in Software Product Management -- A Systematic Literature Review

arXiv 2306.04605 ↗First posted 5 Jun 2023cs.SE cs.AIcited by 0

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Abstract (arXiv)

Generative Artificial Intelligence (GAI) has made outstanding strides in recent years, with a good-sized impact on software product management. Drawing on pertinent articles from 2016 to 2023, this systematic literature evaluation reveals generative AI's potential applications, benefits, and constraints in this area. The study shows that technology can assist in idea generation, market research, customer insights, product requirements engineering, and product development. It can help reduce development time and costs through automatic code generation, customer feedback analysis, and more. However, the technology's accuracy, reliability, and ethical consideration persist. Ultimately, generative AI's practical application can significantly improve software product management activities, leading to more efficient use of resources, better product outcomes, and improved end-user experiences.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 34 references that are in the map. First posted on arXiv 5 Jun 2023.

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7 of 34 references.

References · 7

  1. 2020Scaling Laws for Autoregressive Generative Modelingcited by 522
  2. 2023The Impact of AI on Developer Productivity: Evidence from GitHub Copilotcited by 274
  3. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 224
  4. 2023Regulating ChatGPT and other Large Generative AI Modelscited by 104
  5. 2022Automatic Code Documentation Generation Using GPT-3cited by 37
  6. 2022Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDAcited by 5
  7. 2018Towards effective AI-powered agile project managementcited by 3

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