325,619 research outputs found
Delta-oriented Architectural Variability Using MontiCore
Modeling of software architectures is a fundamental part of software
development processes. Reuse of software components and early analysis of
software topologies allow the reduction of development costs and increases
software quality. Integrating variability modeling concepts into architecture
description languages (ADLs) is essential for the development of diverse
software systems with high demands on software quality. In this paper, we
present the integration of delta modeling into the existing ADL MontiArc. Delta
modeling is a language-independent variability modeling approach supporting
proactive, reactive and extractive product line development. We show how
?-MontiArc, a language for explicit modeling of architectural variability based
on delta modeling, is implemented as domain-specific language (DSL) using the
DSL development framework MontiCore. We also demonstrate how MontiCore's
language reuse mechanisms provide efficient means to derive an implementation
of ?-MontiArc tool implementation. We evaluate ?-Monti-Arc by comparing it with
annotative variability modeling.Comment: 10 pages, 9 figures. ECSA '11 5th European Conference on Software
Architecture: Companion Volume, ACM New York, NY, USA, Article No. 6,
September 201
Considerations about quality in model-driven engineering
The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-016-9350-6The virtue of quality is not itself a subject; it depends on a subject. In the software engineering field, quality means good software products that meet customer expectations, constraints, and requirements. Despite the numerous approaches, methods, descriptive models, and tools, that have been developed, a level of consensus has been reached by software practitioners. However, in the model-driven engineering (MDE) field, which has emerged from software engineering paradigms, quality continues to be a great challenge since the subject is not fully defined. The use of models alone is not enough to manage all of the quality issues at the modeling language level. In this work, we present the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives. We identified 16 categories in the definition of quality in MDE. From this identification, by applying an adaptive sampling approach, we discovered the five most influential authors for the works that propose definitions of quality. These include (in order): the OMG standards (e.g., MDA, UML, MOF, OCL, SysML), the ISO standards for software quality models (e.g., 9126 and 25,000), Krogstie, Lindland, and Moody. We also discovered families of works about quality, i.e., works that belong to the same author or topic. Seventy-three works were found with evidence of the mismatch between the academic/research field of quality evaluation of modeling languages and actual MDE practice in industry. We demonstrate that this field does not currently solve quality issues reported in industrial scenarios. The evidence of the mismatch was grouped in eight categories, four for academic/research evidence and four for industrial reports. These categories were detected based on the scope proposed in each one of the academic/research works and from the questions and issues raised by real practitioners. We then proposed a scenario to illustrate quality issues in a real information system project in which multiple modeling languages were used. For the evaluation of the quality of this MDE scenario, we chose one of the most cited and influential quality frameworks; it was detected from the information obtained in the identification of the categories about quality definition for MDE. We demonstrated that the selected framework falls short in addressing the quality issues. Finally, based on the findings, we derive eight challenges for quality evaluation in MDE projects that current quality initiatives do not address sufficiently.F.G, would like to thank COLCIENCIAS (Colombia) for funding this work through the Colciencias Grant call 512-2010. This work has been supported by the Gene-ralitat Valenciana Project IDEO (PROMETEOII/2014/039), the European Commission FP7 Project CaaS (611351), and ERDF structural funds.Giraldo-Velásquez, FD.; España Cubillo, S.; Pastor López, O.; Giraldo, WJ. (2016). Considerations about quality in model-driven engineering. Software Quality Journal. 1-66. https://doi.org/10.1007/s11219-016-9350-6S166(1985). Iso information processing—documentation symbols and conventions for data, program and system flowcharts, program network charts and system resources charts. ISO 5807:1985(E) (pp. 1–25).(2011). Iso/iec/ieee systems and software engineering – architecture description. 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Model-Driven Development of High-Assurance Active Medical Devices
Advanced medical devices exploit the advantages of embedded software whose
development is subject to compliance with stringent requirements of
standardization and certification regimes due to the critical nature of such
systems. This paper presents initial results and lessons learned from an
ongoing project focusing on the development of a formal model of a subsystem of
a software-controlled safety-critical Active Medical Device (AMD) responsible
for renal replacement therapy. The use of formal approaches for the development
of AMDs is highly recommended by standards and regulations, and motivates the
recent advancement of the state of the art of related methods and tools
including Event-B and Rodin applied in this paper. It is expected that the
presented model development approach and the specification of a high-confidence
medical system will contribute to the still sparse experience base available at
the disposal of the scientific and practitioner community of formal methods and
software engineering
A Road Map to Bio-inspired Software Engineering
Software production research is quickly evolving on two parallel approaches:
conventional and bio-inspired. The bio-inspired approaches are generally
developed and presented as enhancements of the conventional ones. However the
conventional approaches benefit from their integration with their global
context, through software engineering methodologies, for being advantageous.The
integration of bio-inspired approaches with bio-inspired software engineering
methodologies will enrich them and let them be irrefutably be the best. This
paper identify the motivations to the emergence of such bio-inspired software
engineering, presents a first approach to it, with a road map, and some of its
challenges.The application of this first approach on different software systems
categories is presented with its summary evaluation. However, the evaluation on
industrial scale remains a challenge.Comment: 08 page
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data
mining, latent data discovery, and finding relationships among data, text
documents. Researchers have published many articles in the field of topic
modeling and applied in various fields such as software engineering, political
science, medical and linguistic science, etc. There are various methods for
topic modeling, which Latent Dirichlet allocation (LDA) is one of the most
popular methods in this field. Researchers have proposed various models based
on the LDA in topic modeling. According to previous work, this paper can be
very useful and valuable for introducing LDA approaches in topic modeling. In
this paper, we investigated scholarly articles highly (between 2003 to 2016)
related to Topic Modeling based on LDA to discover the research development,
current trends and intellectual structure of topic modeling. Also, we summarize
challenges and introduce famous tools and datasets in topic modeling based on
LDA.Comment: arXiv admin note: text overlap with arXiv:1505.07302 by other author
Spatial Stochastic Modeling with MCell and CellBlender
This chapter provides a brief introduction to the theory and practice of
spatial stochastic simulations. It begins with an overview of different methods
available for biochemical simulations highlighting their strengths and
limitations. Spatial stochastic modeling approaches are indicated when
diffusion is relatively slow and spatial inhomogeneities involve relatively
small numbers of particles. The popular software package MCell allows
particle-based stochastic simulations of biochemical systems in complex three
dimensional (3D) geometries, which are important for many cell biology
applications. Here, we provide an overview of the simulation algorithms used by
MCell and the underlying theory. We then give a tutorial on building and
simulating MCell models using the CellBlender graphical user interface, that is
built as a plug-in to Blender, a widely-used and freely available software
platform for 3D modeling. The tutorial starts with simple models that
demonstrate basic MCell functionality and then advances to a number of more
complex examples that demonstrate a range of features and provide examples of
important biophysical effects that require spatially-resolved stochastic
dynamics to capture.Comment: Munsky et al., Quantitative Biology: Theory, Computational Methods,
and Models, MIT Press, 201
Shape: A 3D Modeling Tool for Astrophysics
We present a flexible interactive 3D morpho-kinematical modeling application
for astrophysics. Compared to other systems, our application reduces the
restrictions on the physical assumptions, data type and amount that is required
for a reconstruction of an object's morphology. It is one of the first publicly
available tools to apply interactive graphics to astrophysical modeling. The
tool allows astrophysicists to provide a-priori knowledge about the object by
interactively defining 3D structural elements. By direct comparison of model
prediction with observational data, model parameters can then be automatically
optimized to fit the observation. The tool has already been successfully used
in a number of astrophysical research projects.Comment: 13 pages, 11 figures, accepted for publication in the "IEEE
Transactions on Visualization and Computer Graphics
A Framework for the Implementation of Industrial Automation Systems Based on PLCs
Industrial automation systems (IASs) are traditionally developed using a
sequential approach where the automation software, which is commonly based on
the IEC 61131 languages, is developed when the design and in many cases the
implementation of mechanical parts have been completed. However, it is claimed
that this approach does not lead to the optimal system design and that the IEC
61131 does not meet new challenges in this domain. In this paper, a system
engineering process based on the new version of IEC 61131, which supports
Object Orientation, is presented. SysML and UML are utilized to introduce a
higher layer of abstraction in the design space of IAS and Internet of Things
(IoT) is considered as an enabling technology for the integration of Cyber and
Cyber-physical components of the system, bringing into the industrial
automation domain the benefits of these technologies.Comment: 13 pages, 9 figures Corrected typos. Corrections to Fig. 5a and 9.
results unchange
Requirements variability specification for data intensive software
Nowadays, the use of feature modeling technique, in software requirements
specification, increased the variation support in Data Intensive Software
Product Lines (DISPLs) requirements modeling. It is considered the easiest and
the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled
data variability by different models which are far from real world concepts.
This,leaded to difficulties in analyzing, designing, implementing, and
maintaining this variability. However, this work proposes a software
requirements specification methodology based on concepts more close to the
nature and which are inspired from genetics. This bio-inspiration has carried
out important results in DISPLs requirements variability specification with
feature modeling, which were not approached by the conventional approaches.The
feature model was enriched with features and relations, facilitating the
requirements variation management, not yet considered in the current relevant
works.The use of genetics-based methodology seems to be promising in data
intensive software requirements variability specification.Comment: 12 page
BeSpaceD: Towards a Tool Framework and Methodology for the Specification and Verification of Spatial Behavior of Distributed Software Component Systems
In this report, we present work towards a framework for modeling and checking
behavior of spatially distributed component systems. Design goals of our
framework are the ability to model spatial behavior in a component oriented,
simple and intuitive way, the possibility to automatically analyse and verify
systems and integration possibilities with other modeling and verification
tools. We present examples and the verification steps necessary to prove
properties such as range coverage or the absence of collisions between
components and technical details
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