SEAMS 2019
Sat 25 - Sun 26 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sat 25 May 2019 11:50 - 12:10 at Duluth - Learning Chair(s): Rogério de Lemos

The success of processes executed in uncertain and changing environments is reliant on the dependable use of relevant information to support continuous planning at runtime. At the core of this planning is a model which, if incorrect, can lead to failures and, in critical processes such as evacuation and disaster relief operations, to harm to humans.

Obtaining reliable and timely estimations of model parameters is often difficult, and considerable research effort has been expended to derive methods for updating models at run-time. Typically, these methods use data sources such as system logs, run-time events and sensor readings, which are well structured. However, in many critical processes, the most relevant data are produced by human participants to, and observers of, the process and its environment (e.g., through social media) and is unstructured.

For such scenarios we propose COPE, a work-in-progress method for the continuous planning of critical processes involving humans and carried out in uncertain, changing environments. COPE uses a combination of runtime natural-language processing (to update a stochastic model of the target process based on unstructured data) and stochastic model synthesis (to generate Pareto-optimal plans for the process). Preliminary experiments indicate that COPE can support continuous planning effectively for a simulated evacuation operation after a natural disaster.

Sat 25 May
Times are displayed in time zone: Eastern Time (US & Canada) change

11:00 - 12:25
LearningSEAMS 2019 at Duluth
Chair(s): Rogério de LemosUniversity of Kent, UK
11:00
25m
Talk
Efficient Analysis of Large Adaptation Spaces Self-Adaptive Systems using Machine LearningLong Paper
SEAMS 2019
Federico QuinKatholieke Universiteit Leuven, Danny WeynsKU Leuven, Thomas BamelisKatholieke Universiteit Leuven, Sarpreet Singh ButtarLinnaeus University, Sam MichielsKatholieke Universiteit Leuven
11:25
25m
Talk
On Learning in Collective Self-adaptive Systems: State of Practice and a 3D FrameworkLong Paper
SEAMS 2019
Mirko D'AngeloLinnaeus University, Sweden, Simos Gerasimou, Sona GhahremaniHasso Plattner Institute, University of Potsdam, Johannes GrohmannUniversity of Wurzburg, Ingrid NunesUniversidade Federal do Rio Grande do Sul (UFRGS), Brazil, Evangelos PournarasETH Zurich, Switzerland, Sven TomfordeUniversitat Kassel
Pre-print
11:50
20m
Talk
Using Unstructured Data to Improve the Continuous Planning of Critical Processes Involving HumansNIER
SEAMS 2019
Colin Paterson, Radu CalinescuUniversity of York, UK, Suresh ManandharUniversity of York, UK, Di WangUniversity of York, UK
12:10
15m
Talk
TRAPPed in Traffic? A Self-Adaptive Framework for Decentralized Traffic OptimizationArtifactReusable
SEAMS 2019
Ilias GerostathopoulosTechnical University of Munich, Evangelos PournarasETH Zurich, Switzerland
Pre-print