54,628 research outputs found
Verifying Web Applications: From Business Level Specifications to Automated Model-Based Testing
One of reasons preventing a wider uptake of model-based testing in the
industry is the difficulty which is encountered by developers when trying to
think in terms of properties rather than linear specifications. A disparity has
traditionally been perceived between the language spoken by customers who
specify the system and the language required to construct models of that
system. The dynamic nature of the specifications for commercial systems further
aggravates this problem in that models would need to be rechecked after every
specification change. In this paper, we propose an approach for converting
specifications written in the commonly-used quasi-natural language Gherkin into
models for use with a model-based testing tool. We have instantiated this
approach using QuickCheck and demonstrate its applicability via a case study on
the eHealth system, the national health portal for Maltese residents.Comment: In Proceedings MBT 2014, arXiv:1403.704
Metamodel Instance Generation: A systematic literature review
Modelling and thus metamodelling have become increasingly important in
Software Engineering through the use of Model Driven Engineering. In this paper
we present a systematic literature review of instance generation techniques for
metamodels, i.e. the process of automatically generating models from a given
metamodel. We start by presenting a set of research questions that our review
is intended to answer. We then identify the main topics that are related to
metamodel instance generation techniques, and use these to initiate our
literature search. This search resulted in the identification of 34 key papers
in the area, and each of these is reviewed here and discussed in detail. The
outcome is that we are able to identify a knowledge gap in this field, and we
offer suggestions as to some potential directions for future research.Comment: 25 page
Advanced Testing Chain Supporting the Validation of Smart Grid Systems and Technologies
New testing and development procedures and methods are needed to address
topics like power system stability, operation and control in the context of
grid integration of rapidly developing smart grid technologies. In this
context, individual testing of units and components has to be reconsidered and
appropriate testing procedures and methods need to be described and
implemented. This paper addresses these needs by proposing a holistic and
enhanced testing methodology that integrates simulation/software- and
hardware-based testing infrastructure. This approach presents the advantage of
a testing environment, which is very close to f i eld testing, includes the
grid dynamic behavior feedback and is risks-free for the power system, for the
equipment under test and for the personnel executing the tests. Furthermore,
this paper gives an overview of successful implementation of the proposed
testing approach within different testing infrastructure available at the
premises of different research institutes in Europe.Comment: 2018 IEEE Workshop on Complexity in Engineering (COMPENG
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Using formal methods to support testing
Formal methods and testing are two important approaches that assist in the development of high quality software. While traditionally these approaches have been seen as rivals, in recent
years a new consensus has developed in which they are seen as complementary. This article reviews the state of the art regarding ways in which the presence of a formal specification can be used to assist testing
Towards Practical Graph-Based Verification for an Object-Oriented Concurrency Model
To harness the power of multi-core and distributed platforms, and to make the
development of concurrent software more accessible to software engineers,
different object-oriented concurrency models such as SCOOP have been proposed.
Despite the practical importance of analysing SCOOP programs, there are
currently no general verification approaches that operate directly on program
code without additional annotations. One reason for this is the multitude of
partially conflicting semantic formalisations for SCOOP (either in theory or
by-implementation). Here, we propose a simple graph transformation system (GTS)
based run-time semantics for SCOOP that grasps the most common features of all
known semantics of the language. This run-time model is implemented in the
state-of-the-art GTS tool GROOVE, which allows us to simulate, analyse, and
verify a subset of SCOOP programs with respect to deadlocks and other
behavioural properties. Besides proposing the first approach to verify SCOOP
programs by automatic translation to GTS, we also highlight our experiences of
applying GTS (and especially GROOVE) for specifying semantics in the form of a
run-time model, which should be transferable to GTS models for other concurrent
languages and libraries.Comment: In Proceedings GaM 2015, arXiv:1504.0244
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