130,916 research outputs found
Towards an I/O Conformance Testing Theory for Software Product Lines based on Modal Interface Automata
We present an adaptation of input/output conformance (ioco) testing
principles to families of similar implementation variants as appearing in
product line engineering. Our proposed product line testing theory relies on
Modal Interface Automata (MIA) as behavioral specification formalism. MIA
enrich I/O-labeled transition systems with may/must modalities to distinguish
mandatory from optional behavior, thus providing a semantic notion of intrinsic
behavioral variability. In particular, MIA constitute a restricted, yet fully
expressive subclass of I/O-labeled modal transition systems, guaranteeing
desirable refinement and compositionality properties. The resulting modal-ioco
relation defined on MIA is preserved under MIA refinement, which serves as
variant derivation mechanism in our product line testing theory. As a result,
modal-ioco is proven correct in the sense that it coincides with traditional
ioco to hold for every derivable implementation variant. Based on this result,
a family-based product line conformance testing framework can be established.Comment: In Proceedings FMSPLE 2015, arXiv:1504.0301
A Product Line Systems Engineering Process for Variability Identification and Reduction
Software Product Line Engineering has attracted attention in the last two
decades due to its promising capabilities to reduce costs and time to market
through reuse of requirements and components. In practice, developing system
level product lines in a large-scale company is not an easy task as there may
be thousands of variants and multiple disciplines involved. The manual reuse of
legacy system models at domain engineering to build reusable system libraries
and configurations of variants to derive target products can be infeasible. To
tackle this challenge, a Product Line Systems Engineering process is proposed.
Specifically, the process extends research in the System Orthogonal Variability
Model to support hierarchical variability modeling with formal definitions;
utilizes Systems Engineering concepts and legacy system models to build the
hierarchy for the variability model and to identify essential relations between
variants; and finally, analyzes the identified relations to reduce the number
of variation points. The process, which is automated by computational
algorithms, is demonstrated through an illustrative example on generalized
Rolls-Royce aircraft engine control systems. To evaluate the effectiveness of
the process in the reduction of variation points, it is further applied to case
studies in different engineering domains at different levels of complexity.
Subject to system model availability, reduction of 14% to 40% in the number of
variation points are demonstrated in the case studies.Comment: 12 pages, 6 figures, 2 tables; submitted to the IEEE Systems Journal
on 3rd June 201
Modal Interface Automata
De Alfaro and Henzinger's Interface Automata (IA) and Nyman et al.'s recent
combination IOMTS of IA and Larsen's Modal Transition Systems (MTS) are
established frameworks for specifying interfaces of system components. However,
neither IA nor IOMTS consider conjunction that is needed in practice when a
component shall satisfy multiple interfaces, while Larsen's MTS-conjunction is
not closed and Bene\v{s} et al.'s conjunction on disjunctive MTS does not treat
internal transitions. In addition, IOMTS-parallel composition exhibits a
compositionality defect. This article defines conjunction (and also
disjunction) on IA and disjunctive MTS and proves the operators to be
'correct', i.e., the greatest lower bounds (least upper bounds) wrt. IA- and
resp. MTS-refinement. As its main contribution, a novel interface theory called
Modal Interface Automata (MIA) is introduced: MIA is a rich subset of IOMTS
featuring explicit output-must-transitions while input-transitions are always
allowed implicitly, is equipped with compositional parallel, conjunction and
disjunction operators, and allows a simpler embedding of IA than Nyman's. Thus,
it fixes the shortcomings of related work, without restricting designers to
deterministic interfaces as Raclet et al.'s modal interface theory does.Comment: 28 page
A Systematic Review of Tracing Solutions in Software Product Lines
Software Product Lines are large-scale, multi-unit systems that enable
massive, customized production. They consist of a base of reusable artifacts
and points of variation that provide the system with flexibility, allowing
generating customized products. However, maintaining a system with such
complexity and flexibility could be error prone and time consuming. Indeed, any
modification (addition, deletion or update) at the level of a product or an
artifact would impact other elements. It would therefore be interesting to
adopt an efficient and organized traceability solution to maintain the Software
Product Line. Still, traceability is not systematically implemented. It is
usually set up for specific constraints (e.g. certification requirements), but
abandoned in other situations. In order to draw a picture of the actual
conditions of traceability solutions in Software Product Lines context, we
decided to address a literature review. This review as well as its findings is
detailed in the present article.Comment: 22 pages, 9 figures, 7 table
The Grid Dependence of Well Inflow Performance in Reservoir Simulation
Imperial Users onl
Towards a methodology for rigorous development of generic requirements patterns
We present work in progress on a methodology for the engineering, validation and verification of generic requirements using domain engineering and formal methods. The need to develop a generic requirement set for subsequent system instantiation is complicated by the addition of the high levels of verification demanded by safety-critical domains such as avionics. We consider the failure detection and management function for engine control systems as an application domain where product line engineering is useful. The methodology produces a generic requirement set in our, UML based, formal notation, UML-B. The formal verification both of the generic requirement set, and of a particular application, is achieved via translation to the formal specification language, B, using our U2B and ProB tools
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