Leveraging Requirements Elicitation through Software Requirement Patterns and LLMs
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| Title: | Leveraging Requirements Elicitation through Software Requirement Patterns and LLMs |
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| Authors: | Xavier Franch, Stefania Gnesi, Federico Paccosi, Carme Quer, Laura Semini |
| Source: | Lecture Notes in Computer Science ISBN: 9783031885303 UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Publisher Information: | Springer Nature Switzerland, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | LLM, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Requirement patterns, Requirements elicitation, Prompts, Large language models |
| Description: | Software requirement patterns (SRPs) is one of the many techniques that contribute to requirements elicitation. At this respect, the emergence of large language models (LLMs) opens the door to cost-effective strategies to create and use SRPs. Still, the stochastic nature of LLMs threatens the inherent quality of requirements reuse and consequently, that of the elicitation process. [Question/problem] In this scientific evaluation paper, we investigate whether and how LLMs can be used in order to create an SRP catalogue and elicit requirements from it. [Principal ideas/results] SRPs can be effectively extracted by querying an LLM through appropriate prompts, but still expert assessment is key in order to deliver the best results. LLM-driven generation of questions to stakeholders for eliciting requirements from these SRPs is feasible but suffers from deficiencies such as excessive number of repetitions and out of scope requirements. [Contribution] We show that (1) LLMs can be embedded into the requirements elicitation process through a pattern instantiation-based strategy, but at the same time (2) the current state of LLM technologies requires expert assessment at a large extent. This paper has been partially funded by the Spanish Ministerio de Ciencia e Innovación under project/funding scheme PID2020-117191RBI00/AEI/10.13039/501100011033, by the Italian MIUR, under project PRIN 2022 STENDHAL and PNRR Project Securing sOftware Platforms. |
| Document Type: | Part of book or chapter of book Conference object |
| File Description: | application/pdf |
| Language: | English |
| DOI: | 10.1007/978-3-031-88531-0_19 |
| Rights: | Springer Nature TDM |
| Accession Number: | edsair.doi.dedup.....8b44947a2c7c2d0905362dc78d6dcae6 |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Software requirement patterns (SRPs) is one of the many techniques that contribute to requirements elicitation. At this respect, the emergence of large language models (LLMs) opens the door to cost-effective strategies to create and use SRPs. Still, the stochastic nature of LLMs threatens the inherent quality of requirements reuse and consequently, that of the elicitation process. [Question/problem] In this scientific evaluation paper, we investigate whether and how LLMs can be used in order to create an SRP catalogue and elicit requirements from it. [Principal ideas/results] SRPs can be effectively extracted by querying an LLM through appropriate prompts, but still expert assessment is key in order to deliver the best results. LLM-driven generation of questions to stakeholders for eliciting requirements from these SRPs is feasible but suffers from deficiencies such as excessive number of repetitions and out of scope requirements. [Contribution] We show that (1) LLMs can be embedded into the requirements elicitation process through a pattern instantiation-based strategy, but at the same time (2) the current state of LLM technologies requires expert assessment at a large extent.<br />This paper has been partially funded by the Spanish Ministerio de Ciencia e Innovación under project/funding scheme PID2020-117191RBI00/AEI/10.13039/501100011033, by the Italian MIUR, under project PRIN 2022 STENDHAL and PNRR Project Securing sOftware Platforms. |
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| DOI: | 10.1007/978-3-031-88531-0_19 |