Track: Quality Aspects in Requirements Engineering

Requirements Engineering (RE) can be defined as the area of Software Engineering concerned with the discovery and documentation of the purpose of a system. Requirements play a major role in the quality of a systems, both for its specification and for its analysis. Fit-for-purpose is arguably the main quality criterion for any system, a system’s lifecycle and its associated work-products can need to fulfil quality criteria (e.g., from engineering or assurance standards), and quality requirements (aka non-functional requirements, such as usability, performance, reliability, etc.) are essential for system success. RE usually further needs to adhere to quality principles itself, such the correctness, completeness, and consistency for a requirements specification. In general, quality is often seen as conformance to some requirements, but the difficulty of handling and demonstrating this conformance is increasing as a result of the growth in systems’ complexity and size and of new system application for a wide range of daily aspects (e.g., transport, healthcare, energy). Quality is becoming a moving and evolving target in the scope of RE and thus needs new means to manage it.

We seek novel contributions on how to leverage ICT systems quality through RE techniques, methods, and tools, as well as empirical studies and experience reports that present how RE contributes to system quality.


The topics of interest include, but are not limited to:

  • Requirements elicitation, analysis and documentation
  • Requirements validation and verification
  • Requirements management: evolution, traceability, prioritization, and negotiation
  • Non-functional requirements
  • Management and assessment of quality of requirements, including conflicts
  • Alignment of requirements to business goals and processes
  • Alignment of requirements and system architecture
  • Risk management in the context of RE
  • Requirements-based project management and cost estimation
  • Human, social, cultural, and cognitive factors in RE
  • RE in the context of specific development approaches, e.g., SPL, MDD, SOA AOSD, and agile
  • Regulatory compliance


Track Committee

Track Co-Chairs:

  • José Luis de la Vara, Universidad Carlos III de Madrid, Spain

Program Committee:

  • Isabel Sofia Sousa Brito, Instituto Politécnico de Beja, Portugal
  • Beatriz Marín, Universidad Diego Portales, Chile
  • Jaelson Castro, Universidade Federal de Pernambuco, Brazil
  • Denis Silveira, Universidade Federal de Pernambunco, Brazil
  • Jean-Michel Bruel, IRIT, France
  • Luiz Marcio Cysneiros, York University, Canada
  • Miguel Goulão, Universidade Nova de Lisboa, Portugal
  • Emilio Insfran, Universitat Politècnica de València, Spain
  • Marcela Ruiz, Utrecht University, Holland
  • Alberto Silva, Universidade de Lisboa, Portugal
  • Krzysztof Wnuk, Blekinge Institute of Technology, Sweden
  • Lidia Lopez, Universitat Politècnica de Catalunya, Spain
  • Nelly Condori-Fernández, Universidade da Coruña, Spain
  • Gonzalo Génova, Universidad Carlos III de Madrid, Spain
  • Ana Moreira, Universidade NOVA de Lisboa, Portugal
  • Maria Lencastre, Universidade de Pernambuco, Brazil
  • Juan Pablo Carvallo, Universidad del Azuay, Ecuador
  • Ambrosio Toval Álvarez, Universidad of Málaga
  • Alejandra Cechich, National University of Comahue
  • Alberto Mirelles, Universidad de Sonora


Jose Luis de la Vara is currently a Visiting Associate Professor at the Computer Science Department of Carlos III University of Madrid, Spain. He received a BEng degree in Computer Science (2006), a MSc degree in Software Engineering, Formal Methods and Information Systems (2008), and a PhD degree in Computer Science (2011) from the Technical University of Valencia, Spain. He worked at the Research Centre on Software Production Methods of this university (PROS) before joining the Software Engineering Department of Simula Research Laboratory, Norway, in 2011 as a Postdoctoral Fellow. Within the overall area of Systems & Software Engineering, his main research interests include Requirements Engineering, System Assurance and Certification, Model-Driven Engineering, and Empirical Software Engineering.