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Output details

11 - Computer Science and Informatics

University of Leicester

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Output title

Abstraction and Training of Stochastic Graph Transformation Systems

Type

E - Conference contribution

DOI

10.1007/978-3-642-37057-1_23

Name of conference/published proceedings

Fundamental Approaches to Software Engineering - 16th International Conference, FASE 2013, Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2013

Volume number

7793

Issue number

First page of article

312

ISSN of proceedings

Year of publication

2013

URL

Number of additional authors

Additional information

<10>Aspects that could lead to future applications (1): the method of parameter fitting (to reproduce experimental observations) using Bayesian networks is useful more widely and could significantly reduce the effort of months of simulation and manual adjustment (2): the approach to abstraction of stochastic rule-based systems is transferrable to other formalism, such as Rewriting Logic (3): one could use similar methods for extracting quantitative models in SE from measurements on running software. Following the presentation and publication of the paper these aspects have elicited the interest of experts in stochastic modelling such as Talcott (SRI), Petre (Turku) and Czarnecki (Waterloo).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract