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COMPSAC
2007
IEEE
14 years 4 months ago
Learning Parameterized State Machine Model for Integration Testing
Although many of the software engineering activities can now be model-supported, the model is often missing in software development. We are interested in retrieving statemachine m...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
PTS
2007
97views Hardware» more  PTS 2007»
13 years 11 months ago
Learning and Integration of Parameterized Components Through Testing
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
Muzammil Shahbaz, Keqin Li 0002, Roland Groz
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
14 years 3 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
ISOLA
2007
Springer
14 years 3 months ago
Using Invariant Detection Mechanism in Black Box Inference
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
Muzammil Shahbaz, Roland Groz
EWRL
2008
13 years 11 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin