20,090 research outputs found
Feature Model to Orthogonal Variability Model Transformations. A First Step
Feature Model (FM) and Orthogonal Variability Model (OVM) are both modelling approaches employed to represent variability in software product line engineering. The former is the most popular and it is mainly applied to domain engineering. The later is a more recent approach mainly used to document variability in design and realisation artifacts. in the scenario of interest of our research, which focuses on Application Lifecycle Management environment, it would be useful rely on the FM to OVM transformation. To the best of our knowledge, in the literature, there is no proposal for such transformation. in this paper, we propose an algorithm to transform FM into OVM. This algorithm transforms the variable features of a FM into an OVM, thus providing an explicit view of variability of software product line. When working on these transformation, some issues came to light, such as how to preserve semantics. We discuss some of them and suggest a possible solution to transform FM into OVM by extending OVM
Feature Model to Orthogonal Variability Model Transformation Towards Interoperability Between Tools
Feature Model (FM) and Orthogonal Variability Model (OVM) are both modelling approaches employed to represent variability in software product line engineering. The former is the most popular and it is mainly applied to domain engineering. The later is a more recent approach mainly used to document variability in design and realisation artifacts. in the scenario of interest of our research, which focuses on Application Lifecycle Management environment, it would be useful rely on the FM to OVM transformation. To the best of our knowledge, in the literature, there is no proposal for such transformation. in this paper, we propose an algorithm to transform FM into OVM. This algorithm transforms the variable features of a FM into an OVM, thus providing an explicit view of variability of software product line. When working on these transformation, some issues came to light, such as how to preserve semantics. We discuss some of them and suggest a possible solution to transform FM into OVM by extending OVM
FaMa-OVM: a Tool for the Automated Analysis of Ovms
Orthogonal Variability Model (OVM) is a modelling language for representing variability in Software Product Line Engineering. The automated analysis of OVMs is defined as the computer-aided extraction of information from such models. in this paper, we present FaMa-OVM, which is a pioneer tool for the automated analysis of OVMs. FaMa-OVM is easy to extend or integrate in other tools. It has been developed as part of the FaMa ecosystem enabling the benefits coming from other tools of that ecosystem as FaMaFW and BeTTy
A Petri Net approach for representing Orthogonal Variability Models
The software product line (SPL) paradigm is used for developing software system products from a set of reusable artifacts, known as platform. The Orthogonal Variability Modeling (OVM) is a technique for representing and managing the variability and composition of those artifacts for deriving products in the SPL. Nevertheless, OVM does not support the formal analysis of the models. For example, the detection of dead artifacts (i.e., artifcats that cannot be included in any product) is an exhaustive activity which implies the verification of relationships between artifacs, artifacts parents, and so on. In this work, we introduce a Petri nets approach for representing and analyzing OVM models. The proposed net is built from elemental topologies that represents OVM concepts and relationships. Finally, we simulate the net and study their properties in order to avoid the product feasibility problems.Fil: Martinez, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Leone, Horacio Pascual. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Gonnet, Silvio Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentin
Investigation of Online Visual Merchandising (OVM) Elements of Apparel Web Stores
The paper presents the results of a scientific research project concerning the new emerging academic field of Online merchandising. The study aims to identify, classify, and measure the OVM elements/subelements and it is the first one that generalizes and systematizes on a global basis the groups, the categories, the elements, and the subelements of OVM of apparel online shops. The method of content analysis is applied in the context of randomly selected apparel web stores. The adopted inductive approach in the study reveals 55 subelements which are grouped into 13 elements. These elements form 5 categories. Finally the 5 categories form 2 major groups. The OVM elements/subelements are analyzed and the frequency of usage of each subelement is measured and discussed. Finally, the authors summarize the results and outline the future directions for research
Procjena i liječenje otežanog dišnog puta kod pretilih bolesnica: retrospektivno istraživanje u jednom centru
The primary aim of this single center retrospective study was to evaluate difficult mask ventilation (DMV) and difficult laryngoscopy (DL) in a unique group of obese patients. A total of 427 adult patients with body mass index (BMI) ≥25 and surgically treated for endometrial cancer from 2011 to 2014 were assessed. Additional increase in BMI, comorbidities, bedside screening tests for risk factors, and the tools used to manage the patients were noted and their effects on DMV and/or DL investigated. Every escalation in the number of risk factors increased the probability of DMV 2.2-fold, DL 1.8-fold and DMV+DL 3.0-fold. Among bedside tests, limited neck movement (LNM), short neck (SN) and absence of teeth were significant for DMV (p25% were considered. In conclusion, LNM and SN are independent risk factors for developing DMV and/or DL in obese endometrial cancer patients, while BMI increase over 30 was not additionally affecting difficult airway.Primarni cilj ovoga retrospektivnog istraživanja provedenog u jednom centru bila je procjena otežane ventilacije maskom (OVM) i otežane laringoskopije (OL) u specifičnoj populaciji pretilih bolesnica. U istraživanje je bilo uključeno 427 odraslih bolesnica s indeksom tjelesne mase (ITM) >25 koje su kirurški liječene zbog karcinoma endometrija od 2011. Do 2014. godine. Dodatno su bilježeni utjecaj porasta ITM, pridruženih bolesti, čimbenika rizika određenih kliničkim probirnim testovima i alata kojim su se zbrinjavale bolesnice na OVM i/ili OL. Svaka eskalacija u broju rizičnih čimbenika je povećavala rizik OVM za 2,2 puta, OL 1,8 puta i OVM+OL 3,0 puta. Od kliničkih testova, ograničena pokretljivost vrata (OPV), kratak vrat (KV) i nedostatak zuba su bili značajni za OVM (p25, tada deseterostruki porast nije bio nezavisni rizični čimbenik. Zaključno, OPV i KV su nezavisni čimbenici rizika za razvoj OVM i/ili OL u pretilih bolesnica s karcinomom endmetrija, dok ITM veći od 30 nije dodatno uticao na otežani dišni put
A formulation of the relaxation phenomenon for lane changing dynamics in an arbitrary car following model
Lane changing dynamics are an important part of traffic microsimulation and
are vital for modeling weaving sections and merge bottlenecks. However, there
is often much more emphasis placed on car following and gap acceptance models,
whereas lane changing dynamics such as tactical, cooperation, and relaxation
models receive comparatively little attention. This paper develops a general
relaxation model which can be applied to an arbitrary parametric or
nonparametric microsimulation model. The relaxation model modifies car
following dynamics after a lane change, when vehicles can be far from
equilibrium. Relaxation prevents car following models from reacting too
strongly to the changes in space headway caused by lane changing, leading to
more accurate and realistic simulated trajectories. We also show that
relaxation is necessary for correctly simulating traffic breakdown with
realistic values of capacity drop
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