<p> <strong>A</strong> self–adaptive system changes its behavior in response to stimuli from its execution and operational environment. As software is used for more pervasive and critical applications, support for self–adaptation is increasingly seen as vital in avoiding costly disruptions for repair, maintenance and evolution of systems. Self–adaptation may result in changes to some functionality, algorithms, or system parameters, as well as to the system’s structure or any other system aspect. Moreover, a self–adaptive system may have intrinsic intelligence that may help it reason about situations where autonomous decision making is required. The major challenges to overcome in order to achieve adequate self–adaptive behavior are related to monitoring, quality and quantity of knowledge and awareness. A successful self–adaptive system meets those challenges to emphasize features like adaptability, autonomy, mobility, robustness, and dynamicity.</p> <h1> Research Topics</h1> <p> <strong>D</strong>eveloping self–adaptive systems is extremely challenging and requires approaches that can efficiently tackle the problems of expressing autonomy requirements, designing and implementing self–adaptive features, and efficiently testing self–adaptive behavior. This conference seeks contributions from researchers and practitioners of self–adaptive systems that will provide the connection between theory and practice with the ultimate goal to bring both the science and industry closer to the so–called "autonomic culture†and successful realization of self–adaptive systems. Both theoretical and applied contributions related to the relevance and potential of engineering methods, approaches and tools for self–adaptive systems are particularly welcome. This applies to application areas and technologies such as:</p> <table style="width: 500px;" border="0" cellpadding="0" cellspacing="0"> <tbody> <tr> <td width="50%"> adaptable user interfaces</td> <td width="50%"> machine learning</td> </tr> <tr> <td> autonomic computing</td> <td> mobile ad–hoc networks</td> </tr> <tr> <td> awareness and self–awareness</td> <td> mobile and autonomous robots</td> </tr> <tr> <td> bio–inspired algorithms</td> <td> multi–agents systems</td> </tr> <tr> <td> dependable computing</td> <td> peer–to–peer applications</td> </tr> <tr> <td> embedded systems</td> <td> sensor networks</td> </tr> <tr> <td> genetic algorithms</td> <td> service–oriented arhcitectures</td> </tr> <tr> <td> knowledge representation and reasoning</td> <td> ubiquitous computing</td> </tr> </tbody> </table> <strong></strong>
Abbrevation
TPSAS
City
Miami
Country
United States
Deadline Paper
Start Date
End Date
Abstract