Agent-oriented Software Engineering Iii: Third International Workshop, Aose 2002, Bologna, Italy, July 15, 2002, Revised Papers And Invited Contributions (lecture Notes In Computer Science)
by James Odell /
2003 / English / PDF
5.5 MB Download
Over the past three decades, software engineers have derived a
progressively better understanding of the characteristics of
complexity in software. It is now widely recognised thatinteraction
is probably the most important single char- teristic of complex
software. Software architectures that contain many dyna- cally
interacting components, each with their own thread of control, and
eng- ing in complex coordination protocols, are typically orders of
magnitude more complex to correctly and e?ciently engineer than
those that simply compute a function of some input through a single
thread of control. Unfortunately, it turns out that many (if not
most) real-world applications have precisely these characteristics.
As a consequence, a major research topic in c- puter science over
at least the past two decades has been the development of tools and
techniques to model, understand, and implement systems in which
interaction is the norm. Indeed, many researchers now believe that
in future computation itself will be understood as chie?y a process
of interaction.
Over the past three decades, software engineers have derived a
progressively better understanding of the characteristics of
complexity in software. It is now widely recognised thatinteraction
is probably the most important single char- teristic of complex
software. Software architectures that contain many dyna- cally
interacting components, each with their own thread of control, and
eng- ing in complex coordination protocols, are typically orders of
magnitude more complex to correctly and e?ciently engineer than
those that simply compute a function of some input through a single
thread of control. Unfortunately, it turns out that many (if not
most) real-world applications have precisely these characteristics.
As a consequence, a major research topic in c- puter science over
at least the past two decades has been the development of tools and
techniques to model, understand, and implement systems in which
interaction is the norm. Indeed, many researchers now believe that
in future computation itself will be understood as chie?y a process
of interaction.
