Transforming user story definition: From deterministic to AI-powered automation
Agile software development necessitates the definition of user stories; however, the conventional manual process frequently leads to inefficiencies and inconsistencies. This paper investigates the shift from the deterministic user story creation to the AI-powered automation, addressing the limitati...
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| Format: | Article |
| Language: | English |
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ICI Publishing House
2025-06-01
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| Series: | Revista Română de Informatică și Automatică |
| Subjects: | |
| Online Access: | https://rria.ici.ro/documents/1371/art._Avasiloaie_Semenescu_Popovici_Chiva.pdf |
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| _version_ | 1850091855096578048 |
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| author | Andra-Paula AVASILOAIE Augustin SEMENESCU Eduard-Cristian POPOVICI Ionuț-Cosmin CHIVA |
| author_facet | Andra-Paula AVASILOAIE Augustin SEMENESCU Eduard-Cristian POPOVICI Ionuț-Cosmin CHIVA |
| author_sort | Andra-Paula AVASILOAIE |
| collection | DOAJ |
| description | Agile software development necessitates the definition of user stories; however, the conventional manual process frequently leads to inefficiencies and inconsistencies. This paper investigates the shift from the deterministic user story creation to the AI-powered automation, addressing the limitations of the manual methods and the benefits of the AI integration. The study highlights the development of a deterministic JIRA extension for e-commerce applications. Despite its efficiency, the deterministic tool lacked adaptability across different domains. To overcome this, an AI-powered enhancement utilizing OpenAI's API was introduced, enabling scalable and accurate user story generation through natural language processing and machine learning. AI-driven tools automate user story creation, improving accuracy, reducing misinterpretation risks, and streamlining workflows. The research traces the evolution from a deterministic automation app using templates to an AI-driven app, emphasizing the role of prompt engineering in refining AI-generated outputs. The results demonstrate that AI integration not only enhances efficiency but also extends user story definition to diverse application domains, contributing to more scalable and adaptable software development practices. |
| format | Article |
| id | doaj-art-ec55b62e02784b15879cd4fd81abe312 |
| institution | DOAJ |
| issn | 1220-1758 1841-4303 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | ICI Publishing House |
| record_format | Article |
| series | Revista Română de Informatică și Automatică |
| spelling | doaj-art-ec55b62e02784b15879cd4fd81abe3122025-08-20T02:42:15ZengICI Publishing HouseRevista Română de Informatică și Automatică1220-17581841-43032025-06-01352597210.33436/v35i2y202505Transforming user story definition: From deterministic to AI-powered automationAndra-Paula AVASILOAIE0Augustin SEMENESCU1 Eduard-Cristian POPOVICI2Ionuț-Cosmin CHIVA3 National University of Science and Technology Politehnica Bucharest, RomaniaAcademy of Romanian Scientists, Bucharest National University of Science and Technology Politehnica Bucharest, Romania National University of Science and Technology Politehnica Bucharest, Romania Agile software development necessitates the definition of user stories; however, the conventional manual process frequently leads to inefficiencies and inconsistencies. This paper investigates the shift from the deterministic user story creation to the AI-powered automation, addressing the limitations of the manual methods and the benefits of the AI integration. The study highlights the development of a deterministic JIRA extension for e-commerce applications. Despite its efficiency, the deterministic tool lacked adaptability across different domains. To overcome this, an AI-powered enhancement utilizing OpenAI's API was introduced, enabling scalable and accurate user story generation through natural language processing and machine learning. AI-driven tools automate user story creation, improving accuracy, reducing misinterpretation risks, and streamlining workflows. The research traces the evolution from a deterministic automation app using templates to an AI-driven app, emphasizing the role of prompt engineering in refining AI-generated outputs. The results demonstrate that AI integration not only enhances efficiency but also extends user story definition to diverse application domains, contributing to more scalable and adaptable software development practices.https://rria.ici.ro/documents/1371/art._Avasiloaie_Semenescu_Popovici_Chiva.pdfai-powered automationagile software developmentuser story generationprompt engineeringnatural language processing |
| spellingShingle | Andra-Paula AVASILOAIE Augustin SEMENESCU Eduard-Cristian POPOVICI Ionuț-Cosmin CHIVA Transforming user story definition: From deterministic to AI-powered automation Revista Română de Informatică și Automatică ai-powered automation agile software development user story generation prompt engineering natural language processing |
| title | Transforming user story definition: From deterministic to AI-powered automation |
| title_full | Transforming user story definition: From deterministic to AI-powered automation |
| title_fullStr | Transforming user story definition: From deterministic to AI-powered automation |
| title_full_unstemmed | Transforming user story definition: From deterministic to AI-powered automation |
| title_short | Transforming user story definition: From deterministic to AI-powered automation |
| title_sort | transforming user story definition from deterministic to ai powered automation |
| topic | ai-powered automation agile software development user story generation prompt engineering natural language processing |
| url | https://rria.ici.ro/documents/1371/art._Avasiloaie_Semenescu_Popovici_Chiva.pdf |
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