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QSMSR Principal Model  [cached]
Shahbaz Nazeer,Tahir Abdullah,Nadim Asif,Beenish Yaseen
Journal of Asian Scientific Research , 2012,
Abstract: Software architecture design and requirement engineering are core and independent areas of engineering. A lot of research, education and practice are carried on Requirement elicitation and doing refine it, but it is a major issue of engineering. QSMSR model act as a bridge between requirement and design. There is a huge gap between these two areas of software architecture and requirement engineering. In this research principal model defines how to take input the requirements and to refine it in such a way that the gap is covered.
Arguing for Decisions: A Qualitative Model of Decision Making  [PDF]
Blai Bonet,Hector Geffner
Computer Science , 2013,
Abstract: We develop a qualitative model of decision making with two aims: to describe how people make simple decisions and to enable computer programs to do the same. Current approaches based on Planning or Decisions Theory either ignore uncertainty and tradeoffs, or provide languages and algorithms that are too complex for this task. The proposed model provides a language based on rules, a semantics based on high probabilities and lexicographical preferences, and a transparent decision procedure where reasons for and against decisions interact. The model is no substitude for Decision Theory, yet for decisions that people find easy to explain it may provide an appealing alternative.
A Qualitative Acceleration Model Based on Intervals
ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal , 2013,
Abstract: On the way to autonomous service robots, spatial reasoning plays a main role since it properly deals with problems involving uncertainty. In particular, we are interested in knowing people's pose to avoid collisions. With that aim, in this paper, we present a qualitative acceleration model for robotic applications including representation, reasoning and a practical application.
Model-Based Diagnosis with Qualitative Temporal Uncertainty  [PDF]
Wolfgang Nejdl,Johann Gamper
Computer Science , 2013,
Abstract: In this paper we describe a framework for model-based diagnosis of dynamic systems, which extends previous work in this field by using and expressing temporal uncertainty in the form of qualitative interval relations a la Allen. Based on a logical framework extended by qualitative and quantitative temporal constraints we show how to describe behavioral models (both consistency- and abductive-based), discuss how to use abstract observations and show how abstract temporal diagnoses are computed. This yields an expressive framework, which allows the representation of complex temporal behavior allowing us to represent temporal uncertainty. Due to its abstraction capabilities computation is made independent of the number of observations and time points in a temporal setting. An example of hepatitis diagnosis is used throughout the paper.
Qualitative Analysis Model for Software Requirements Driven by Interviews
Haidar S. Jabbar,T.V. Gopal
Journal of Engineering and Applied Sciences , 2012,
Abstract: Despite the recent precision of Software Engineering (SE), software systems still suffer from foremost problems, which are constantly referenced to Requirements Engineering (RE). RE is both the hardest and most critical part of software development, since errors at RE stage postponement to the end of the software development process and the hardest to repair. One of the major problems in RE is the analysis and interpretation of data driven by interviews, in view of the fact that most data comes in narrative, text, story and informal shape, which is generally called qualitative data. As well as data comes in mass appearance, which is later difficult to interpret to software requirements. In this study we have offered a brief overview of RE, interviews and qualitative models. Originally, we have offer a key improvement in the analysis of interviews, by proposing a Bottom-Up Qualitative Analysis Model (BUQAM) for enhancing the analysis of data driven by interviews, consequently well interpretation to software requirements. The BUQAM consist of the following steps: (1) Focused Oriented Questions (2) Organizing and Identifying Data (Familiarization) (3) Iterative Coding and Pattern Categorizing (4) Requirements Mapping and Classification and (5) Requirements Generation. We argue that this model will renovate most of narrative (descriptive) data into interpretive (clear-cut) information. In the same time, this model can furthermore be used in several types of narrative data such as ethnographic studies, action videos, observations, note files and surveys. In order to clarify our assumptions, we have validated this method against a case study for developing a University Wireless Network System (UWNS).
SBML Qualitative Models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools  [PDF]
Claudine Chaouiya,Duncan Berenguier,Sarah M Keating,Aurelien Naldi,Martijn P. van Iersel,Nicolas Rodriguez,Andreas Dr?ger,Finja Büchel,Thomas Cokelaer,Bryan Kowal,Benjamin Wicks,Emanuel Gon?alves,Julien Dorier,Michel Page,Pedro T. Monteiro,Axel von Kamp,Ioannis Xenarios,Hidde de Jong,Michael Hucka,Steffen Klamt,Denis Thieffry,Nicolas Le Novère,Julio Saez-Rodriguez,Tomá? Helikar
Quantitative Biology , 2013,
Abstract: Background: Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. Results: We present the System Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the cooperative development of the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyze qualitative models. Conclusion: SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.
Software Architecture Performance Quality Model: Qualitative Approach
Ishaya Gambo,Abimbola Soriyan,Philip Achimugu
ARPN Journal of Systems and Software , 2011,
Abstract: As a communication vehicle among stakeholders, software architecture gives the entire view of the system’s major components, the behaviour of those components as visible to the rest of the system, and the ways in which these components interact and coordinate to achieve the system’s goal. The architecture determines the non-functional attributes of software systems that are built into quality models. In this paper we consider the performance attribute of a system. Most performance quality models have been developed and proved quantitatively. This paper approaches performance issues qualitatively using a proposed developed performance quality model called Software Architecture Scenario-Based Performance Quality Model (SASPUM). The validity of the model characterized into three categories: stimuli, architectural decisions, and responses, can be tested on any existing software architecture using the performance Assessment of Software Architecture (PASA) and the Architecture Trade-off Analysis Method (ATAM).
Qualitative Analysis of a Rumor Transmission Model with Incubation Mechanism
Salma Al-Tuwairqi, Sarah Al-Sheikh, Reem Al-Amoudi
Open Access Library Journal (OALib Journal) , 2015, DOI: 10.4236/oalib.1102040
Abstract: In this paper, we propose a rumor transmission model with incubation period considering the fact that incubators may move to stifler class and susceptibles may move to spreader class. The model is formulated with constant recruitment and varying total population. The full system of the model is studied qualitatively producing rumor-free and rumor-existence equilibriums. The existence conditions of the equilibriums are investigated. Moreover, the local and global stability analysis of both equilibriums is examined. Furthermore, numerical simulations are used to support the qualitative analysis. Finally, the impact of different management strategies on the dissipation of rumors is analyzed numerically by varying key parameters in the model.
Standardized discourse recording model: methodological proposal for the systematization of interviews in qualitative research
Mustafa, Zeina Hassen;Guilhem, Dirce;Alves, Elioenai Dornelles;
Escola Anna Nery , 2008, DOI: 10.1590/S1414-81452008000100012
Abstract: qualitative research is considered an innovative way of apprehending reality. there is still a need to improve the methods used in conducting interviews and in the way in which dense complex discourses are systematized and analyzed. considering the technical and operational difficulties that qualitative methods tend to create, a methodological proposal called standardized discourse recording model is being proposed with the aim of finding a structural logic that systematizes the construction of interviews. to demonstrate the use of this technique, the discourse recording of three people who were interviewed in a project in which this methodology was applied is presented as examples. one can observe the unfolding of its three operational phases - script elaboration, material for the discourse recording, and construction of the text from the interviews - and conclude that this process creates a standardized model of constructing the interviews, which makes the register and the analysis of the data easier.
The Development of a Qualitative Dynamic Attribute Value Model for Healthcare Institutes
Wan- I Lee
Iranian Journal of Public Health , 2010,
Abstract: Background: Understanding customers has become an urgent topic for increasing competitiveness. The purpopse of the study was to develop a qualitative dynamic attribute value model which provides insight into the customers' value for healthcare institute managers by conducting the initial open-ended questionnaire survey to select participants purposefully."nMethods: A total number of 427 questionnaires was conducted in two hospitals in Taiwan (one district hospital with 635 beds and one academic hospital with 2495 beds) and 419 questionnaires were received in nine weeks. Then, apply qualitative in-depth interviews to explore customers' perspective of values for building a model of partial differential equations."nResults: This study concludes nine categories of value, including cost, equipment, physician background, physicain care, environment, timing arrangement, relationship, brand image and additional value, to construct objective network for customer value and qualitative dynamic attribute value model where the network shows the value process of loyalty development via its effect on customer satisfaction, customer relationship, customer loyalty and healthcare service."nConclusion: One set predicts the customer relationship based on comminent, including service quality, communication and em-pahty. As the same time, customer loyalty based on trust, involves buzz marketing, brand and image. Customer value of the current instance is useful for traversing original customer attributes and identifing customers on different service share.
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