Tootfinder

Tool for Supporting Debugging and Understanding of Normative Requirements Using LLMs
Alex Kleijwegt, Sinem Getir Yaman, Radu Calinescu
https://arxiv.org/abs/2507.05504

Tool for Supporting Debugging and Understanding of Normative Requirements Using LLMs
Normative requirements specify social, legal, ethical, empathetic, and cultural (SLEEC) norms that must be observed by a system. To support the identification of SLEEC requirements, numerous standards and regulations have been developed. These requirements are typically defined by stakeholders in the non-technical system with diverse expertise (e.g., ethicists, lawyers, social scientists). Hence, ensuring their consistency and managing the requirement elicitation process are complex and error-p…

LLMREI: Automating Requirements Elicitation Interviews with LLMs
Alexander Korn, Samuel Gorsch, Andreas Vogelsang
https://arxiv.org/abs/2507.02564 https://…

LLMREI: Automating Requirements Elicitation Interviews with LLMs
Requirements elicitation interviews are crucial for gathering system requirements but heavily depend on skilled analysts, making them resource-intensive, susceptible to human biases, and prone to miscommunication. Recent advancements in Large Language Models present new opportunities for automating parts of this process. This study introduces LLMREI, a chat bot designed to conduct requirements elicitation interviews with minimal human intervention, aiming to reduce common interviewer errors and…

A Survey on the Techniques and Tools for Automated Requirements Elicitation and Analysis of Mobile Apps
Chong Wang, Haoning Wu, Peng Liang, Maya Daneva, Marten van Sinderen
https://arxiv.org/abs/2509.01068

A Survey on the Techniques and Tools for Automated Requirements Elicitation and Analysis of Mobile Apps
[Background:] Research on automated requirements elicitation and analysis of mobile apps employed lots of techniques and tools proposed by RE researchers and practitioners. However, little is known about the characteristics of these techniques and tools as well as the RE tasks in requirements elicitation and analysis that got supported with the help of respective techniques and tools. [Aims:] The goal of this paper is to investigate the state-of-the-art of the techniques and tools used in autom…

Requirements Elicitation Follow-Up Question Generation
Yuchen Shen, Anmol Singhal, Travis Breaux
https://arxiv.org/abs/2507.02858 https://

Requirements Elicitation Follow-Up Question Generation
Interviews are a widely used technique in eliciting requirements to gather stakeholder needs, preferences, and expectations for a software system. Effective interviewing requires skilled interviewers to formulate appropriate interview questions in real time while facing multiple challenges, including lack of familiarity with the domain, excessive cognitive load, and information overload that hinders how humans process stakeholders' speech. Recently, large language models (LLMs) have exhibited s…

Generative Goal Modeling
Ateeq Sharfuddin, Travis Breaux
https://arxiv.org/abs/2509.01048 https://arxiv.org/pdf/2509.01048…

Generative Goal Modeling
In software engineering, requirements may be acquired from stakeholders through elicitation methods, such as interviews, observational studies, and focus groups. When supporting acquisition from interviews, business analysts must review transcripts to identify and document requirements. Goal modeling is a popular technique for representing early stakeholder requirements as it lends itself to various analyses, including refinement to map high-level goals into software operations, and conflict an…

Can LLMs Generate User Stories and Assess Their Quality?
Giovanni Quattrocchi, Liliana Pasquale, Paola Spoletini, Luciano Baresi
https://arxiv.org/abs/2507.15157

Can LLMs Generate User Stories and Assess Their Quality?
Requirements elicitation is still one of the most challenging activities of the requirements engineering process due to the difficulty requirements analysts face in understanding and translating complex needs into concrete requirements. In addition, specifying high-quality requirements is crucial, as it can directly impact the quality of the software to be developed. Although automated tools allow for assessing the syntactic quality of requirements, evaluating semantic metrics (e.g., language c…

REConnect: Participatory RE that Matters
Daniela Damian, Bachan Ghimire, Ze Shi Li
https://arxiv.org/abs/2509.01006 https://arxiv.org/pdf/2509.01006…

REConnect: Participatory RE that Matters
Software increasingly shapes the infrastructures of daily life, making requirements engineering (RE) central to ensuring that systems align with human values and lived experiences. Yet, current popular practices such as CrowdRE and AI-assisted elicitation strategies risk detaching requirements work from the cultural, social, and political contexts that shape lived experiences, human values, and real user needs. In this paper, we introduce REConnect that re-centers RE on the human connection as …

GUI-ReRank: Enhancing GUI Retrieval with Multi-Modal LLM-based Reranking
Kristian Kolthoff, Felix Kretzer, Christian Bartelt, Alexander Maedche, Simone Paolo Ponzetto
https://arxiv.org/abs/2508.03298

GUI-ReRank: Enhancing GUI Retrieval with Multi-Modal LLM-based Reranking
GUI prototyping is a fundamental component in the development of modern interactive systems, which are now ubiquitous across diverse application domains. GUI prototypes play a critical role in requirements elicitation by enabling stakeholders to visualize, assess, and refine system concepts collaboratively. Moreover, prototypes serve as effective tools for early testing, iterative evaluation, and validation of design ideas with both end users and development teams. Despite these advantages, the…

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review
Sai Zhang, Zhenchang Xing, Jieshan Chen, Dehai Zhao, Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng, Xiaohong Li
https://arxiv.org/abs/2507.14969

Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review
The vision of End-User Software Engineering (EUSE) is to empower non-professional users with full control over the software development lifecycle. It aims to enable users to drive generative software development using only natural language requirements. However, since end-users often lack knowledge of software engineering, their requirement descriptions are frequently ambiguous, raising significant challenges to generative software development. Although existing approaches utilize structured la…