ABOUT

Requirements Engineering (RE) is the pivotal domain within Software Engineering that encompasses the discovery, documentation, and analysis of a system's purpose, grounded in stakeholder needs. In the realm of RE research, we recognize the critical role that quality aspects play in shaping not only what is built but also how requirements are specified. Quality considerations extend to both the system being developed and the requirements themselves. Within this context, the importance of emerging topics such as ethics, privacy, and security in conjunction with traditional quality aspects, such as performance, maintainability, etc., becomes increasingly important. Furthermore, the recent advances in Artificial Intelligence (AI) techniques, and Large Language Models (LLMs) in particular, provide novel opportunities to solve RE tasks, including quality assessment, classification, and tracing. These advancements also pose new challenges for RE, as novel techniques are needed to ensure that AI-based systems are reliable, trustworthy, and exhibit the same degree of quality expected from traditional systems.

KEY TOPICS

This year’s track aims to foster discussion on these key topics: 

Ethics in Requirements Engineering: Explore the ethical implications and considerations in defining system requirements, ensuring that software development aligns with ethical standards and societal values.

Privacy and Security in Requirements: Address the growing concerns of privacy and security by incorporating robust measures within requirements engineering processes, safeguarding sensitive information and ensuring compliance with data protection regulations.

Emerging Topics in Requirements Engineering:

• Large Language Models: Investigate the application of large language models in requirements engineering, exploring their potential to support multiple RE tasks.

• AI in RE and RE for AI: Delve into the integration of artificial intelligence (AI) in RE processes, assessing its impact on the discovery, validation, and management of requirements. Devise RE strategies for the support of AI-based system development.

• Analysis of Novel Sources: Explore innovative approaches to requirements gathering, including the analysis of app reviews, issue tracking systems, interviews, diagrams, etc., to extract valuable insights and improve the requirements engineering process.

• RE for Emerging Societal Challenges: Includes RE techniques for supporting, aging of societies, supporting reskilling and workforce retraining, political bias in media and social media, supporting mental health issues

ADDITIONAL TOPICS

Additional topics of interest belong to the whole RE realm and are:

• Requirements engineering in relation to quality requirements 

• Requirements elicitation, analysis and documentation

• Requirements verification and validation

• Requirements management: evolution, traceability, prioritization, and negotiation

• Requirements for particular application domains

• Strategies, methods and processes for assuring the quality of requirements

• Alignment of requirements to information need/business goals and processes

• Risk management in the context of RE 

• Requirements-based project management and cost estimation

• Human, social, cultural, and cognitive factors in RE

• Regulatory compliance to functional and non-functional requirements

• Contemporary RE processes and tools for quality requirements

TRACK COMMITTEE

Chairs:  Sotirios Liaskos (York University, Canada), Krzysztof Wnuk (Blekinge Institute of Technology, Sweden)

Program Committee: 

• Elena Navarro, University of Castilla-La Mancha, Spain 

• Emilio Insfrán Pelozo, Universitat Politècnica de València, Spain 

• Farnaz Fotrousi, Mälardalen University, Sweden 

• Giovanna Broccia, Consiglio Nazionale delle Ricerche, Italy 

• Jose Luis de la Vara, University of Castilla-La Mancha, Spain

• Juan Pablo Carvallo, Universidad del Azuay, Ecuador 

• Luis Olsina, GIDIS_Web, Engineering School, UNLPam, Argentina 

• Lidia Lopez, Barcelona Supercomputing Center, Spain 

• Julian Frattini, Blekinge Institute of Technology, Sweden