Nov 6, 2017 � Abstract. Recovering traceability links between software artifacts and requirements is a common task in Software Engineering. Information.
Carlos Cetina. On the Influence of Models-to-Natural-Language Transformation in Traceability Link Recovery among Requirements and Conceptual Models.
TLR-ELtoR recovers traceability links between a requirement and a model through the combination of evolutionary computation and machine learning techniques.
On the Influence of Models-to-Natural-Language Transformation in Traceability Link Recovery among Requirements and Conceptual Models. R Lape�a, F P�rez, C�...
Oct 4, 2024 � Ra�l Lape�a, Francisca P�rez, Oscar Pastor, Carlos Cetina: Leveraging execution traces to enhance traceability links recovery in BPMN models.
Traceability Link Recovery between Requirements and Models using an Evolutionary Algorithm Guided by a Learning to Rank Algorithm: Train Control and Management�...
Jun 18, 2024 � In this paper, we propose an LLM-based approach to generate security-related traceability links between requirements (expressed in natural language) and goals.
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2 On the Influence of M2NL Transformation in TLR among Req. and Conceptual Models ... 7 Improving Traceability Links Recovery in Process Models through an�...
May 17, 2024 � This chapter prepares the readers with the fundamental knowledge of designing automated traceability solutions enabled by NLP in practice.
This work proposes an approach based on Natural Language Processing (NLP) for analyzing the impact of change in Natural Language (NL) requirements and�...