A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911061505998848 |
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| author | Jin, Dongming Jin, Zhi Li, Linyu Chen, Xiaohong |
| author_facet | Jin, Dongming Jin, Zhi Li, Linyu Chen, Xiaohong |
| contents | Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing assumptions in requirements engineering, including functional decomposability and behavioral predictability. This paper investigates this problem and advocates for a rethinking of existing requirements engineering methodologies. We propose a conceptual framework tailored to requirements engineering of pretrained-model-enabled software systems and outline several promising research directions within this framework. This vision helps provide a guide for researchers and practitioners to tackle the emerging challenges in requirements engineering of pretrained-model-enabled systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_13095 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems Jin, Dongming Jin, Zhi Li, Linyu Chen, Xiaohong Software Engineering Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing assumptions in requirements engineering, including functional decomposability and behavioral predictability. This paper investigates this problem and advocates for a rethinking of existing requirements engineering methodologies. We propose a conceptual framework tailored to requirements engineering of pretrained-model-enabled software systems and outline several promising research directions within this framework. This vision helps provide a guide for researchers and practitioners to tackle the emerging challenges in requirements engineering of pretrained-model-enabled systems. |
| title | A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2507.13095 |