Agile methodologies are one of the most common approaches for companies to develop new software products. Within these methodologies, a significant focus is placed on rapid deliveryand minimal documentation. However, this focus can lead to documentation, especially that concerning quality requirements (QR), being overlooked in favor of speed. This can result in a decrease in the overall quality of the final software product. To address these issues, the suitability of Generative AI (GenAI) is examined to analyze its potential in solving these problems. The purpose of this study was to investigate whether GenAI is suitable foraddressing issues related to QR documentation within agile methodologies. The study conducted a case study on a company currently using GenAI. The data collection method used for this investigation was semi-structured interviews. The Task-Technology Fit (TTF) model was used to evaluate the suitability of GenAI for QR documentation. The results show that "Ease of Use" and "Production timeliness" are GenAI"s greatest strengths. However,other aspects such as "Quality" and "System reliability" showed weaker results. Future research should focus on exploring the broader use of GenAI within agile methodologies and developing comprehensive training programs for the effective use of GenAI.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-532468 |
| Date | January 2024 |
| Creators | Al Khamisi, Sandra, Deshayes, Emil |
| Publisher | Uppsala universitet, Institutionen för informatik och media |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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