Organizations increasingly use collaborative teams in order to create value for their stakeholders. This trend has given rise to a new research field: Collaboration Engineering. The goal of Collaboration Engineering is to design and deploy processes for high-value recurring collaborative tasks, and to design these processes such that practitioners can execute them successfully without the inter...

Model transformation is at the heart of current model-driven engineering research. Today’s research in model transformation focuses on the scalability of the approaches to solve industrial problems. The current state-of-the-art in model transformation includes a plethora of techniques and tools. Nevertheless, industrial adoption of model transformation requires a diversity of model transformati...

Biology once was regarded as a languid, largely descriptive discipline, a passive science that was content, for much of its history, merely to observe the natural world rather than change it. No longer. Today biology, armed with the power of genetics, has replaced physics as the activist Science of the Century, and it stands poised to assume godlike powers of creation, calling forth artificial ...

This paper examines the cognitive processes involved in problem finding as part of the Requirements Engineering (RE) process. It describes intensive field research that provided rich understanding of the practices of systems analysts. The paper makes three contributions to cognitive research in Information Systems. Firstly, three characteristics of analysts’ problem finding in the early stages ...

In this paper I explain the benefits of projectional language workbenches for product line engineering. The ability to extend programming languages with domain specific concepts, mix programs (i.e. descriptions written in general purpose languages) and models (i.e. descriptions expressed with DSLs) and also overlay configurative variability to both of these promises highly integrated and produc...

1 This paper supported in part by National Science Foundation grants: EC-9872498, Engineering Education: Assessment Methodologies and Curricula Innovations and EEC-9727413Gateway Engineering Education Coalition. Also Engineering Information Foundation grant EiF 98-4. 2 Columbia University 3 University Of Pittsburgh 4 Colorado School of Mines Abstract  This paper describes on-going research at ...

This work brings together two fundamental ideas for modelling, programming and analysing software systems. The first idea is of a methodological nature: engineering software by systematically creating and relating languages. The second idea is of a technical nature: using patterns as a practical foundation for computing. The goal is to show that the systematic creation and layering of languages...

Ontological engineering as a key technology of the next generation knowledge processing is discussed. After a brief introduction to ontological engineering with my speculation about its potential contribution, three major results of the practice of ontological engineering in my lab are presented. Then, paradigm shift in information processing is discussed followed by a future directions in the ...

The purpose of the attention schema theory is to explain how an information-processing device, the brain, arrives at the claim that it possesses a non-physical, subjective awareness and assigns a high degree of certainty to that extraordinary claim. The theory does not address how the brain might actually possess a non-physical essence. It is not a theory that deals in the non-physical. It is a...

The National Science Foundation has supported research in the information sciences for 25 years, initially through its Office of Scientific Information, later through the Office of Science Information Service and the Division of Science Information, and most recently through the Division of Information Science and Technology. The Foundation has also supported research in computer science and en...