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ICML
1999
IEEE
15 years 10 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
MODELS
2009
Springer
15 years 4 months ago
HiLA: High-Level Aspects for UML State Machines
UML state machines are widely used for modeling software behavior. However state-crosscutting behaviors, such as synchronization or execution history dependence, are hard to model...
Gefei Zhang, Matthias M. Hölzl
ICFEM
2005
Springer
15 years 3 months ago
29 New Unclarities in the Semantics of UML 2.0 State Machines
Abstract. UML 2.0, which is the standard modeling language for objectoriented systems, has only an informally given semantics. This is in particular the case for UML 2.0 state mach...
Harald Fecher, Jens Schönborn, Marcel Kyas, W...
FASE
2009
Springer
15 years 4 months ago
Control Dependence for Extended Finite State Machines
Abstract. Though there has been nearly three decades of work on program slicing, there has been comparatively little work on slicing for state machines. One of the primary challeng...
Kelly Androutsopoulos, David Clark, Mark Harman, Z...
SAC
2006
ACM
14 years 9 months ago
Transformation of B specifications into UML class diagrams and state machines
We propose a rule-based approach for transforming B abstract machines into UML diagrams. We believe that important insight into the structure underlying a B model can be gained by...
Houda Fekih, Leila Jemni Ben Ayed, Stephan Merz