Large-scale Complex IT Systems
Ian Sommerville, Dave Cliff, Radu Calinescu, Justin Keen, Tim Kelly,, Marta Kwiatkowska, John McDermid, Richard Paige

TL;DR
This paper discusses the inherent complexity of large-scale 'systems of systems' and argues that current software engineering methods are insufficient, proposing a research agenda to address these challenges in socio-technical contexts.
Contribution
It highlights fundamental limitations of existing methods for large-scale complex systems and proposes a new research and education agenda emphasizing socio-technical integration.
Findings
Current methods cannot scale to large complex systems
Identifies major challenges in socio-technical integration
Proposes a research agenda for future development
Abstract
This paper explores the issues around the construction of large-scale complex systems which are built as 'systems of systems' and suggests that there are fundamental reasons, derived from the inherent complexity in these systems, why our current software engineering methods and techniques cannot be scaled up to cope with the engineering challenges of constructing such systems. It then goes on to propose a research and education agenda for software engineering that identifies the major challenges and issues in the development of large-scale complex, software-intensive systems. Central to this is the notion that we cannot separate software from the socio-technical environment in which it is used.
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Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Advanced Software Engineering Methodologies
