Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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(FIVE YEARS 26)

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(FIVE YEARS 1)

Published By ACM

9781450379625

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A framework for the analysis of adaptive systems using bayesian statistics

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391596 ◽

2020 ◽

Author(s):

Yuning He ◽

Johann Schumann

Keyword(s):

Bayesian Statistics ◽

Adaptive Systems

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A platform to enable self-adaptive cloud applications using trustworthiness properties

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391608 ◽

2020 ◽

Cited By ~ 1

Author(s):

José D'Abruzzo Pereira ◽

Rui Silva ◽

Nuno Antunes ◽

Jorge L. M. Silva ◽

Breno de França ◽

...

Keyword(s):

Cloud Applications ◽

Self Adaptive

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Human in the loop

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391597 ◽

2020 ◽

Author(s):

Rogério de Lemos

Keyword(s):

Human In The Loop

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Dynamic adaptation of software-defined networks for IoT systems

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391603 ◽

2020 ◽

Cited By ~ 1

Author(s):

Seung Yeob Shin ◽

Shiva Nejati ◽

Mehrdad Sabetzadeh ◽

Lionel C. Briand ◽

Chetan Arora ◽

...

Keyword(s):

Dynamic Adaptation ◽

Software Defined Networks

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On the probabilistic analysis of neural networks

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391594 ◽

2020 ◽

Author(s):

Corina Păsăreanu ◽

Hayes Converse ◽

Antonio Filieri ◽

Divya Gopinath

Keyword(s):

Neural Networks ◽

Probabilistic Analysis

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Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391605 ◽

2020 ◽

Cited By ~ 1

Author(s):

Jeroen Van Der Donckt ◽

Danny Weyns ◽

Federico Quin ◽

Jonas Van Der Donckt ◽

Sam Michiels

Keyword(s):

Deep Learning ◽

Adaptive Systems ◽

Self Adaptive

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Expecting the unexpected

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391607 ◽

2020 ◽

Cited By ~ 1

Author(s):

Assaf Marron ◽

Lior Limonad ◽

Sarah Pollack ◽

David Harel

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Leveraging test logs for building a self-adaptive path planner

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391606 ◽

2020 ◽

Cited By ~ 1

Author(s):

Kun Liu ◽

Xiaoyi Zhang ◽

Paolo Arcaini ◽

Fuyuki Ishikawa ◽

Wenpin Jiao

Keyword(s):

Path Planner ◽

Self Adaptive

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Explanations for human-on-the-loop

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391592 ◽

2020 ◽

Author(s):

Nianyu Li ◽

Sridhar Adepu ◽

Eunsuk Kang ◽

David Garlan

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Supporting viewpoints to review the lack of requirements in space systems with machine learning

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems ◽

10.1145/3387939.3391610 ◽

2020 ◽

Author(s):

Kenji Mori ◽

Naoko Okubo ◽

Yasushi Ueda ◽

Masafumi Katahira ◽

Toshiyuki Amagasa

Keyword(s):

Machine Learning ◽

Space Systems

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Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM

A framework for the analysis of adaptive systems using bayesian statistics

A platform to enable self-adaptive cloud applications using trustworthiness properties

Human in the loop

Dynamic adaptation of software-defined networks for IoT systems

On the probabilistic analysis of neural networks

Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals

Expecting the unexpected

Leveraging test logs for building a self-adaptive path planner

Explanations for human-on-the-loop

Supporting viewpoints to review the lack of requirements in space systems with machine learning

Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Latest Publications