The workshop's topics of interest include all the concerns at the crossing of Requirements Engineering (RE) and WEB3. In particular, but not limited to, the following one:
RE for Web3
Novel Requirements Engineering Methods for Web3 Systems - how to effectively capture decentralized architecture requirements.
Security and Privacy Requirements in Decentralized Ecosystems - distributed nature of Web3 specific security and privacy concerns and strategies to address them.
Compliance and Regulatory Requirements in Web3 Systems - evolving global regulations, alongside dealing with decentralized governance frameworks.
Tokenization of Real-World Assets - interoperability, standards and ownership challenges, and asset tokenization requirements.
Trust and Transparency Requirements - constructing verifiable claims, transparent processes
Governance Models and Incentives in Web3 Ecosystems - how requirements regarding governance and incentive structures impact system design and user engagement.
Frameworks and Ontologies for Web3 System Engineering - foundational frameworks, taxonomies, and methodologies for engineering Web3 systems.
Web3 for RE
Leveraging Blockchain and Web3 for Enhanced Requirements Traceability - utilizing decentralized ledgers to increase traceability and transparency concerning requirements management.
Consensus Mechanisms for Collective Requirements Gathering - explore consensus methods of reaching agreement on requirements, especially in open source and community-driven projects.
Decentralized Autonomous Organizations (DAOs) for Requirements Governance - collaboration through DAOs managing, approving, and evolving requirements in decentralized projects.
Smart Contracts for Requirements Validation and Verification - smart contracts automate requirements checking in real-time concerning adherence.
Decentralized Identity and Role Management in Requirements Engineering - authenticate and authorize the stakeholders in the RE process.
Incentivizing Stakeholder Participation through Token Economics - how to apply tokenomics to promote stakeholders' active, sustained, and wallet-holding involvement in RE activities.
Beyond Web3 and Application Domains
Zero-Knowledge Proofs (ZKPs) for RE - How can ZKPs be used for privacy-preserving RE or for verifying requirements compliance without revealing sensitive data?
Decentralized AI (DeAI) & Machine Learning in RE - Explore the intersection of decentralized AI and RE in the context of Web3 applications. What are the requirements challenges for decentralized learning systems?
Metaverse Requirements Engineering - Discuss specific requirements challenges in metaverse environments and how Web3 technologies influence them. Consider the requirements for interoperability of virtual assets, identities, and experiences.
Interoperability & Composability - Address how to design RE processes that can accommodate the composability paradigm in Web3.
On-Chain Data Governance - How can RE techniques facilitate data governance in a transparent and decentralized way within blockchains?
Soulbound Tokens (SBTs) and Identity - How will SBTs affect identity management in RE? What implications do they have on access control and stakeholder participation?
RE for Decentralized Finance (DeFi) - The specific challenges and opportunities for RE in DeFi systems, considering composability, security, and regulatory requirements.
RE for Supply Chain Management - Explore how RE can contribute to designing transparency and accountability in decentralized supply chains.
RE for Decentralized Social Networks and Communities - How can RE help improve user experiences in decentralized social networks and DAOs?
Methods
Design science and action research as methods for doing research with practitioners and for practitioners;
Surveys on state-of-the-art RE practices in industry;
Systematic reviews and mapping studies on RE phenomena;
Qualitative studies: case studies, focus groups, grounded theory, interview-based studies; different types of approaches to evaluate validity of results of RE research;
Experimental designs for empirical studies;
Frameworks and infrastructures for carrying out empirical studies;
Lessons learned from empirical research in industry-university collaboration settings;
Frameworks for comparative evaluations;
Identification of strengths and weaknesses of empirical and comparative evaluation approaches.