Ph D Progress 14 09 2008

Operation research techniques

Rodixon94

10.1.1.64.430ankoos

Success Factors for Enterprise Systems in the Higher Education Sector: A Case...

inventionjournals

Many large organisations have moved to Enterprise System solutions in recent years, including the higher education sector (HES). Whilst the benefits of Enterprise systems are well known, the sector has a social mission and characteristics that do not necessarily map to a commercially-focused corporate conceptualization, and assessing the suitability of any particular enterprise solution requires a qualified set of criteria to be applied. This paper looks at an “essential set” of critical success factors (CSFs) relevant to enterprise systems in the HES and applies them in a case study of a large Australian University. The CSFs found to be most relevant to successful ES deployment show differences from CSFs reported in other studies, mainly those in commercial sectors, suggesting a sector based approach be taken to evaluating ES success. We generalise our practical findings to theory, and propose further theory development and validation through confirmatory case studies and specific hypothesis testing.

Using Model-Driven Engineering for Decision Support Systems Modelling, Implem...

CSCJournals

Following the principle of everything is object, software development engineering has moved towards the principle of everything is model, through Model Driven Engineering (MDE). Its implementation is based on models and their successive transformations, which allow starting from the requirements specification to the code’s implementation. This engineering is used in the development of information systems, including Decision-Support Systems (DSS). Here we use MDE to propose an DSS development approach, using the Multidimensional Canonical Partitioning (MCP) design approach and a design pattern. We also use model’s transformation in order to obtain not only implementation codes, but also data warehouse feeds.

Models of Operations Research is addressed

Introduction, Meaning and Characteristics of Operations Research is addressed. MODELS IN OPERATIONS RESEARCH, Classification of Models, degree of abstraction, Purpose Models, Predictive models, Descriptive models, Prescriptive models, Mathematic / Symbolic models, Models by nature of an environment, Models by the extent of generality, Models by Behaviour, Models by Method of Solution, Models by Method of Solution, Static and dynamic models, Iconic models Iconic models, Analogue models. Subscribe to Vision Academy for Video Assistance https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw

Lecture 1 introduction to or

Chulalongkorn University

Development of an Interactive Simulation of Steel Cord Manufacturing for Indu...

Gurdal Ertek

Performance Evaluation using Blackboard Technique in Software Architecture

Validation of software systems is very useful at the primary stages of their development cycle. Evaluation of functional requirements is supported by clear and appropriate approaches, but there is no similar strategy for evaluation of non-functional requirements (such as performance). Whereas establishing the non-functional requirements have significant effect on success of software systems, therefore considerable necessities are needed for evaluation of non-functional requirements. Also, if the software performance has been specified based on performance models, may be evaluated at the primary stages of software development cycle. Therefore, modeling and evaluation of non-functional requirements in software architecture level, that are designed at the primary stages of software systems development cycle and prior to implementation, will be very effective. We propose an approach for evaluate the performance of software systems, based on black board technique in software architecture level. In this approach, at first, software architecture using blackboard technique is described by UML use case, activity and component diagrams. then UML model is transformed to an executable model based on timed colored petri nets(TCPN) Consequently, upon execution of an executive model and analysis of its results, non-functional requirements including performance (such as response time) may be evaluated in software architecture level.

Using Multi-Criteria Decision and knowledge representation methodologies for ...

Nit Celesc

Target-based test path prioritization for UML activity diagram using weight a...

IJECEIAES

The benefit of exploratory testing and ad hoc testing by tester’s experience is that crucial bugs are found quickly. Regression testing and test case prioritization are important processes of software testing when software functions have been changed. We propose a test path prioritization method to generate a sequence of test paths that would match the testers’ interests and focuses on the target area of interest or on the changed area. We generate test paths form the activity diagrams and survey the test path prioritization from testers. We define node and edge weight to the symbols of activity diagrams by applying Time management, Pareto, Buffett, Binary, and Bipolar method. Then we propose a test path score equation to prioritize test paths. We also propose evaluation methods i.e., the difference and the similarity of test path prioritization to testers’ interests. Our proposed method had the least average of the difference and the most average of the similarity compare with the tester’s prioritization of test paths. The Bipolar method was the most suitable for assigning weights to match test path rank by the tester. Our proposed method also has given the affected path by changing area higher priority than the other test path.

Introduction to Systems Engineering

Animesh Chaturvedi

Availability Assessment of Software Systems Architecture Using Formal Models

There has been a significant effort to analyze, design and implement the information systems to process the information and data, and solve various problems. On the one hand, complexity of the contemporary systems, and eye-catching increase in the variety and volume of information has led to great number of the components and elements, and more complex structure and organization of the information systems. On the other hand, it is necessary to develop the systems which meet all of the stakeholders' functional and non-functional requirements. Considering the fact that evaluation and assessment of the aforementioned requirements - prior to the design and implementation phases - will consume less time and reduce costs, the best time to measure the evaluable behavior of the system is when its software architecture is provided. One of the ways to evaluate the architecture of software is creation of an executable model of architecture. The present research used availability assessment and took repair, maintenance and accident time parameters into consideration. Failures of software and hardware components have been considered in the architecture of software systems. To describe the architecture easily, the authors used Unified Modeling Language (UML). However, due to the informality of UML, they utilized Colored Petri Nets (CPN) for assessment too. Eventually, the researchers evaluated a CPN-based executable model of architecture through CPN-Tools.

130411 francis palma - detection of process antipatterns -- a bpel perspective

Operation research in Statistic

Harin Sagar

Management scienceBunty Rathore

A Software Measurement Using Artificial Neural Network and Support Vector Mac...

ijseajournal

Today, Software measurement are based on various techniques such that neural network, Genetic algorithm, Fuzzy Logic etc. This study involves the efficiency of applying support vector machine using Gaussian Radial Basis kernel function to software measurement problem to increase the performance and accuracy. Support vector machines (SVM) are innovative approach to constructing learning machines that Minimize generalization error. There is a close relationship between SVMs and the Radial Basis Function (RBF) classifiers. Both have found numerous applications such as in optical character recognition, object detection, face verification, text categorization, and so on. The result demonstrated that the accuracy and generalization performance of SVM Gaussian Radial Basis kernel function is better than RBFN. We also examine and summarize the several superior points of the SVM compared with RBFN.

Designing systems for managing dynamic collaborative research processesscottw

Wcre13a.ppt

Biehl (2009) ODiSe Discussion Slides

rbiehl

Ontology Engineering for Big Data

Kouji Kozaki

For efficient and innovative use of big data, it is important to integrate multiple data bases across domains. For example, various public data bases are developed in life science, and how to find a novel scientific result using them is an essential technique. In social and business areas, open data strategies in many countries promote diversity of public data, how to combine big data and open data is a big challenge. That is, diversity of dataset is a problem to be solved for big data. Ontology gives a systematized knowledge to integrate multiple datasets across domains with semantics of them. Linked Data also provides techniques to interlink datasets based on semantic web technologies. We consider that combinations of ontology and Linked Data based on ontological engineering can contribute to solution of diversity problem in big data. In this talk, I discuss how ontological engineering could be applied to big data with some trial examples.

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Operations Research - Models

Operation research techniques

Rodixon94

10.1.1.64.430ankoos

Success Factors for Enterprise Systems in the Higher Education Sector: A Case...

inventionjournals

Using Model-Driven Engineering for Decision Support Systems Modelling, Implem...

CSCJournals

Models of Operations Research is addressed

Lecture 1 introduction to or

Chulalongkorn University

Development of an Interactive Simulation of Steel Cord Manufacturing for Indu...

Gurdal Ertek

Performance Evaluation using Blackboard Technique in Software Architecture

Using Multi-Criteria Decision and knowledge representation methodologies for ...

Nit Celesc

Target-based test path prioritization for UML activity diagram using weight a...

IJECEIAES

Introduction to Systems Engineering

Animesh Chaturvedi

Availability Assessment of Software Systems Architecture Using Formal Models

130411 francis palma - detection of process antipatterns -- a bpel perspective

Operation research in Statistic

Harin Sagar

Management scienceBunty Rathore

A Software Measurement Using Artificial Neural Network and Support Vector Mac...

ijseajournal

Designing systems for managing dynamic collaborative research processesscottw

Wcre13a.ppt