Abstract
Self-adaptive systems (SASs) have the ability to reconfigure their behavior to respond to changing external conditions. A key element of a SAS, therefore, is how to monitor the environment so that appropriate adaptations can be triggered. In complex systems, monitoring the environment in its entirety is either impossible or too expensive. As a result, some adaptations are not possible because there is no monitor in place to trigger them. This paper discusses the role of human input, given as speech or text, as a way to provide environmental information to a SAS. The idea is that, given the limitations of monitoring the environment in full, human commentary can potentially be used to build up a more complete picture of the operating context of a SAS. The paper describes existing technology that could be used to realize this idea and describes a number of scenarios where the idea could be useful.
Original language | English |
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Title of host publication | 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2010, in Conjunction with the 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010 |
Pages | 69-74 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | International Workshop on Software Engineering for Adaptive and Self-Managing Systems 2010 - Cape Town, South Africa Duration: 2 May 2010 → 8 May 2010 https://dl.acm.org/doi/proceedings/10.1145/1808984 (Proceedings) |
Workshop
Workshop | International Workshop on Software Engineering for Adaptive and Self-Managing Systems 2010 |
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Abbreviated title | SEAMS 2010 |
Country/Territory | South Africa |
City | Cape Town |
Period | 2/05/10 → 8/05/10 |
Internet address |
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Keywords
- requirements
- self-adaptive systems
- smart homes