| Autor: |
Mohalik, Swarup Kumar, Ramamurthy, Badrinath, Jayaraman, Mahesh Babu, D'Souza, Meenakshi |
| Zdroj: |
ACM SIGSOFT Software Engineering Notes; January 2018, Vol. 42 Issue: 4 p25-27, 3p |
| Abstrakt: |
With the proliferation of the Internet of Things and the associ- ated trend of integration of software with "things", it is predicted that the complexity of the systems-of-future will be characterized not only by scale and variety of devices and software but also by the constant change of the system context due to the mobil- ity of devices and M2M interactions. Consequently, the current paradigm of automation will be inadequate for the management and operation of these systems. The dominant approach to ad- dress this issue is to design and develop autonomous systems that can adapt to the changes in various levels and keep delivering the expected functionality. Such systems need fundamentally different architectures, components and methodologies incorporating new paradigms such as machine learning and intelligent decision making. In this workshop, we attempt to discuss the in uence of these paradigms on the development life cycle of adaptive soft- ware, starting from requirements, design and architecture and also their verification and validation. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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