Track:  Emerging Topics and Technologies in Requirements Engineering


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.


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:


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


Track Chairs: Sallam Abualhaija (University of Luxembourg, Luxembourg) and Alessio Ferrari (CNR, Italy) 

Program Committee :

Sallam Abualhaija  is a Research Scientist at the Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg. Her main research interests combine AI with software engineering, with an emphasis on: requirements engineering, regulatory compliance, natural language processing, and machine learning. She has been on the organizing/program committees of several international conferences for both software engineering and natural language processing like RE, ICSE, ACL, and EMNLP. She has also been on the organization committee (OC) of the NLP4RE for several years and more recently on the OC of AIRE workshop.

Alessio Ferrari  is a Research Scientist at Consiglio Nazionale delle Ricerche—Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” (CNR-ISTI), Italy. His research focuses on NLP applied to RE, and on empirical studies on requirements elicitation interviews. He has been part of the RE PC and ICSE PC, local organisation co-chair of REFSQ’20, PC co-chair of REFSQ’23, and RE@Next!’24 co-chair. He is one of the funders and co-organisers of the NLP4RE workshop, and has been co-organiser of the AIRE workshop.