Towards dialogue based, computer aided software requirements elicitation
원문 초록
Several approaches have been presented, which aim to extract models from natural language specifications. These approaches have inherent weaknesses for they assume an initial problem understanding that is perfect, and they leave no room for feedback. Motivated by real-world collaboration settings between requirements engineers and customers, this paper proposes an interaction blueprint that aims for dialogue based, computer aided software requirements analysis. Compared to mere model extraction approaches, this interaction blueprint encourages individuality, creativity and genuine compromise. A simplistic Experiment was conducted to showcase the general idea. This paper discusses the experiment as well as the proposed interaction blueprint and argues, that advancements in natural language processing and generative AI might lead to significant progress in a foreseeable future. However, for that, there is a need to move away from a magical black box expectation and instead moving towards a dialogue based approach that recognizes the individuality that is an undeniable part of requirements engineering.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Safety at Scale: A Comprehensive Survey of Large Model Safety
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
토론
이 논문과 연결된 포럼 글이 아직 없습니다.