40 research outputs found
Addressing the evolution of automated user behaviour patterns by runtime model interpretation
The final publication is available at Springer via http://dx.doi.org/10.1007/s10270-013-0371-3The use of high-level abstraction models can facilitate and improve not only system development but also runtime system evolution. This is the idea of this work, in which behavioural models created at design time are also used at runtime to evolve system behaviour. These behavioural models describe the routine tasks that users want to be automated by the system. However, users¿ needs may change after system deployment, and the routine tasks automated by the system must evolve to adapt to these changes. To facilitate this evolution, the automation of the specified routine tasks is achieved by directly interpreting the models at runtime. This turns models into the primary means to understand and interact with the system behaviour associated with the routine tasks as well as to execute and modify it. Thus, we provide tools to allow the adaptation of this behaviour by modifying the models at runtime. This means that the system behaviour evolution is performed by using high-level abstractions and avoiding the costs and risks associated with shutting down and restarting the system.This work has been developed with the support of MICINN, under the project EVERYWARE TIN2010-18011, and the support of the Christian Doppler Forschungsgesellschaft and the BMWFJ, Austria.Serral Asensio, E.; Valderas Aranda, PJ.; Pelechano Ferragud, V. (2013). Addressing the evolution of automated user behaviour patterns by runtime model interpretation. Software and Systems Modeling. https://doi.org/10.1007/s10270-013-0371-3SWeiser, M.: The computer of the 21st century. Sci. Am. 265, 66–75 (1991)Serral, E., Valderas, P., Pelechano, V.: Context-adaptive coordination of pervasive services by interpreting models during runtime. Comput. 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A Grounded Theory Analysis of the Occupational Impact of Caring for a Partner who has Multiple Sclerosis
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
Complete Problems for Valiant’s Class of qp-Computable Families of Polynomials
We prove that the families matrix powering, iterated matrix product, and adjoint matrix are VQP-complete, where VQP denotes Valiant's class of quasipolynomial-computable families of multivariate polynomials. This proves a conjecture by Burgisser [3, Conjecture 8.1]
Toward Optimal Motif Enumeration
Abstract. We present algorithms that reduce the time and space needed to solve problems of finding all motifs common to a set of sequences. In particular, we give algorithms that (1) require time and space linear in the size of the input, (2) succinctly encode the output so that the time and space requirements depend on the number of motifs, not directly on motif length, and (3) efficiently parallelize the enumeration.