AI-Driven Prioritization Techniques of Requirements in Agile Methodologies: A Systematic Literature Review

Software requirements are the foundation of a successful software development project, outlining the customer's expectations for the software's functionality. Conventional techniques of requirement prioritization present several challenges, such as scalability, customer satisfaction, efficiency, and dependency management. These challenges make the process difficult to manage effectively. Prioritizing requirements by setting criteria in order of importance is essential to addressing these issues and ensuring the efficient use of resources, especially as software becomes more complex. Artificial intelligence (AI) offers promising solutions to these challenges through algorithms like Machine Learning, Fuzzy Logic, Optimization, and Natural Language Processing. Despite the availability of reviews on conventional prioritization techniques, there is a notable gap in comprehensive reviews of AI-based methods. This paper offers a systematic literature review (SLR) of AI-driven requirements prioritization techniques within Agile methodologies, covering 32 papers published between 2010 and 2024. We conducted a parametric analysis of these techniques, identifying key parameters related to both the prioritization process and specific AI methods. Our findings clarify the application domains of various AI-based techniques, offering crucial insights for researchers, requirement analysts, and stakeholders to choose the most effective prioritization methods. These insights consider dependencies and emphasize the importance of collaboration between stakeholders and the development team for optimal results.

@article{Radwan2024,
  title     = {AI-Driven Prioritization Techniques of Requirements in Agile Methodologies: A Systematic Literature Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {9},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Aya M. Radwan and Manal A. Abdel-Fattah and Wael Mohamed},
  doi       = {10.14569/IJACSA.2024.0150983},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150983}
}