Utilization of feature modeling in axiomatic design

Download
index.pdf
2008
Üçtepe, Orhan
Show full item record
212
views
74
downloads
This thesis provides an approach to use feature modeling with a set of guidelines for requirements definition and decomposition activities of the axiomatic design methodology. A tool that supports the development of feature models and modeling of the Axiomatic Design activities is implemented to be utilized for guiding the designer. Axiomatic Design suggested four domains of information in the transformation of the problem definition to the solution, and provided mechanisms for supporting the mapping among some of those domains. The approach suggested in this thesis fills an important gap, which is the transition from the customer needs to functional requirements, in axiomatic design. A case study is carried out in order to analyze advantages and disadvantages of the proposed approach.
Computer enginnering., Feature modeling.
http://etd.lib.metu.edu.tr/upload/12609429/index.pdf
https://hdl.handle.net/11511/17637
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Systematic component-oriented development with axiomatic design
Toğay, Cengiz; Doğru, Ali Hikmet; Department of Computer Engineering (2008)
In this research, component oriented development is supported with design guidance by extending the Axiomatic Design Theory for component orientation, and utilizing domain engineering and ontology mechanisms. Guidance is offered in the form of suggesting missing components and discovering incompatibilities among the candidate elements of software development, corresponding to different phases such as requirement analysis, design, and implementation. A mature domain concept is developed suggesting the availa...
Comparison of regression techniques via Monte Carlo simulation
Mutan, Oya Can; Ayhan, Hüseyin Öztaş; Department of Statistics (2004)
The ordinary least squares (OLS) is one of the most widely used methods for modelling the functional relationship between variables. However, this estimation procedure counts on some assumptions and the violation of these assumptions may lead to nonrobust estimates. In this study, the simple linear regression model is investigated for conditions in which the distribution of the error terms is Generalised Logistic. Some robust and nonparametric methods such as modified maximum likelihood (MML), least absolut...
Verification of Modular Diagnosability With Local Specifications for Discrete-Event Systems
Schmidt, Klaus Verner (Institute of Electrical and Electronics Engineers (IEEE), 2013-09-01)
In this paper, we study the diagnosability verification for modular discrete-event systems (DESs), i.e., DESs that are composed of multiple components. We focus on a particular modular architecture, where each fault in the system must be uniquely identified by the modular component where it occurs and solely based on event observations of that component. Hence, all diagnostic computations for faults to be detected in this architecture can be performed locally on the respective modular component, and the obt...
An approach for decentralized process modeling
Turetken, Oktay; Demirörs, Onur (2007-05-20)
This paper describes a method for organizations to perform process modeling in a decentralized and concurrent manner. The approach is based on the idea that modeling organizations' processes can be performed by individuals actually performing the processes. Instead of having a central and devoted group of people to analyze, understand, model and improve processes, real performers are held responsible to model and improve their own processes concurrently. The paper also summarizes the lessons learned by appl...
Bayesian semiparametric models for nonignorable missing mechanisms in generalized linear models
Kalaylıoğlu Akyıldız, Zeynep Işıl (Informa UK Limited, 2013-08-01)
Semiparametric models provide a more flexible form for modeling the relationship between the response and the explanatory variables. On the other hand in the literature of modeling for the missing variables, canonical form of the probability of the variable being missing (p) is modeled taking a fully parametric approach. Here we consider a regression spline based semiparametric approach to model the missingness mechanism of nonignorably missing covariates. In this model the relationship between the suitable...
Citation Formats
O. Üçtepe, “Utilization of feature modeling in axiomatic design,” M.S. - Master of Science, Middle East Technical University, 2008.
METU IIS - Integrated Information Service open@metu.edu.tr