Design and Analysis of Smartphone Application Development Methodology

Abstract— The use of modern Smartphone encourages by recent powerful devices such as Apple’s iPhone, Samsung‘s Note, Google’s Android devices etc. In general Smartphone application usage is rapidly growing & expanding throughout the globe. There are need set of emerging guidelines for how to build the new best possible Smartphone applications. Intelligence of mobile has created a wide range of opportunities for researchers, academicians, scientists, engineers, and developers to create the new applications for end users and businesses. Information technology industry enormously concentrates on how to best build smart phone based applications widely. There are various issues in Cutting-edge research and applications development on computational intelligence in mobile environment The mobile-based application development industry is increasingly growing up due to the huge and intensive use of applications in mobile devices; most of them are running on Android based Operating System. As such to develop, analysis and design research model for remotely accessing and control smart phone devices, object oriented strategy is one of the powerful among various traditional software development models. The Various object oriented intelligent development approaches contributes in addressing these issues, as well as discover other potential elements in the mobile paradigm. There are several issues & emerging guidelines that developers follows when building new business or social Smartphone based model.. The combination of mobile computing and computational intelligence focuses on learning model and knowledge generated by mobile users and mobile technology. Mobile technology covers various applications of computational intelligence to mobile paradigm, including intelligence, mobile data, security, mobile agent, location-based mobile information services, intelligent networks, mobile multimedia data access and control

Enterprise Modelling using Unified Framework supporting Distributed Object Computing

This paper provides a support for the analysis phase in the life cycle of the enterprise distributed computing systems. The major goal of our work is to provide a small but powerful set of enterprise modeling concepts. We will be extending the concept of Enterprise Modeling using EDOC inter-agent system using OPEN Framework

Complexity Metrics for Systems Development Methods and Techniques

So many systems development methods have been introduced in the last decade that one can talk about a ¿methodology jungle¿. To aid the method developers and evaluators in fighting their way through this jungle, we propose a systematic approach for measuring properties of methods. We describe two sets of metrics which measure the complexity of single diagram techniques, and of complete systems development methods. The proposed metrics provide a relatively fast and simple way to analyse the descriptive capabilities of a technique or method. When accompanied with other selection criteria, the metrics can be used for estimating the relative complexity of a technique compared to others. To demonstrate the applicability of the metrics, we have applied them to 36 techniques and 11 methods

A virtual machine framework for domain-specific languages

Experts in a field regularly apply a defined set of rules or procedures to carry out a problem-solving task or analysis on a given problem. Often the problem can be represented as a computer model, be it mathematical, chemical, or physics based, and so on. It would certainly be advantageous for a domain expert who is not proficient in software development to express solutions to problems in a domain-specific notation that can be executed as a program. Many new ideas aim to make software development easier and shift the development role closer to the end-user. One such means of development is the use of a small, intuitive programming language called a Domain-Specific Language (DSL.) This dissertation examines a generic approach to constructing a Virtual Machine (VM) to provide the runtime semantics for a particular DSL. It proposes a generic, object-oriented framework, called a VM Framework, in which to build a VM by subtyping abstract instruction and environment classes that are part of the VM Framework. The subtyped classes constitute an environment and an interface called an instruction set architecture and the instructions can access and operate on the environment in a deterministic way to provide the runtime semantics of a DSL program. Both instruction classes and environment classes encapsulate functionality of an existing domain, represented programmatically as a namespace construct. The namespace is home to related classes that provide the various concepts inherent of a domain. These are concepts understood by a domain expert and in this dissertation it is shown how they are exposed as DSL constructs. With the use of compiler writing tools, a compiler can be created for a DSL that generates an appropriate instruction sequence that can be executed by the VM. The grammar of the DSL is shown to feature constructs that allow a domain expert to express concepts of the underlying domain in an intuitive manner. The dissertation details how a VM is configured for a specific set of instructions and an environment. Instruction sets and environments can be extended creating VMs with additional semantics for DSLs that are similar, or contain subsets of semantics of other DSLs. The languages are intended to be intuitive and it is shown using examples how a specific DSL program is mapped to an instruction sequence with the instruction set architecture and environment in mind. Comparative performance in relation to other DSL implementations, including a hard-coded approach of a VM and an interpreted approach are also provided. The VM Framework is proven to be most effective in rapidly prototyping a DSL for a particular problem domain. The dissertation also provides examples of DSLs such as a real-valued expression language and a scene description language that uses a ray-tracer for rendering geometric objects onto a canvas. It is shown how the scene description language is an extension to the real-valued expression language in terms of their underlying VMs. All DSL grammars are provided.Dissertation (MSc (Computer Science))--University of Pretoria, 2007.Computer ScienceMScunrestricte

A framework for industrial systems modeling and simulation

To successfully compete in a global market, manufacturing production systems are being forced to reduce time to market and to provide improved responsiveness to changes in market conditions. The organizations that comprise the business links in the production system must constantly make tradeoffs between time and cost in order to achieve a competitive but quick response to consumer demand. Due to the inherent uncertainty of consumer demand, these tradeoffs are, by definition, made with incomplete information and can incur significant financial and competitive risk to the organization. Partnerships between organizations are a mechanism for increasing the information in the decision making process by combining information from the two partners. Partnerships are inherently difficult to implement due to trust issues. A mechanism for investigating and validating the mutual benefit to partnering would be useful in designing and implementing partnerships. This paper describes the development of a software framework for industrial systems modeling and simulation. The framework provides a mechanism for investigating changes to industrial systems in a manner which minimizes the effort and computational power needed to develop focused simulations. The architecture and it`s component parts are described