Artificial Intelligence Requirements Specification in the Development of Software Products
DOI:
https://doi.org/10.33936/isrtic.v8i2.7147Keywords:
IEEE 830, AI Requirements, generative AI, SRS, GPEIAbstract
In the development of current technologies involving artificial intelligence (AI), requirements specification becomes critically important to ensure that systems meet functional, ethical and performance expectations from the early stages of the process. However, the absence of clear guidelines for the AI requirements specification of a system can lead to poor specification, affecting the quality and effectiveness of the software. Therefore, this paper proposes a formal procedure for integrating AI requirements into the software development process, using the IEEE 830 standard as the basis for the specification. This was developed in 2 phases, making use of different methodologies: Barbara Kitchenham's Systematic Literature Review (SLR) and GPEI, respectively. The first phase consisted of conducting an SLR using Parsifal to discover and analyse current practices for the integration of AI requirements into the software development process, as well as for the specification of these requirements. The second phase adapted the IEEE 830 standard for AI requirements specification using the GPEI methodology for generative AI interaction. The results showed that, for the most part, software projects integrating AI do not have adequate AI requirements specifications, and in response, a template based on the IEEE 830 standard was designed to guide this process, which includes two tables for AI requirements specification, developed with generative AI and empirical analysis.
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