A requirements engineering framework for developing COTS GIS applications : a thesis presented in partial fulfilment of the requirements for the degree of Master of Information Science in Information Systems at Massey University

There has been an increase in recent years in the number of Geographic Information System (GIS) applications being developed for stakeholders using Commercial Off-The-Shelf (COTS) software. There are a lack of guidelines in both industry and the literature on how to acquire user requirements for the development of GIS applications in this COTS software environment. This study investigates process activities in order to build a framework to address these inadequacies. The construction of the framework incorporates requirements engineering and COTS software evaluation and selection process activities from the Information Systems (IS) area. The framework is used to explore three issues related to developing GIS applications and used to determine whether: 1) a life cycle model is used to guide the gathering and analysing of requirements when developing GIS applications, 2) standard IS requirements processes can be used for developing GIS solutions, and 3) standard IS COTS software acquisition processes can be used for developing GIS solutions. Case studies were used to analyse current practices in the GIS industry and to validate the usefulness of these activities in the framework. The results of this investigation suggest that RE practices associated with the COTS paradigm within the IS arena are suitable for developing GIS applications based on user requirements

Multi-representation Ontology in the Context of Enterprise Information Systems

International audienceIn the last decade, ontologies as shared common vocabulary played a major role in many AI applications and informationintegration for heterogeneous, distributed systems. The problems of integrating and developing information systems anddatabases in heterogeneous, distributed environment have been translated in the technical perspectives as system’sinteroperability. Ontologies, however, are foreseen to play a key role in resolving partially the semantic conflicts anddifferences that exist among systems. Domain ontologies, however, are constructed by capturing a set of concepts and theirlinks according to various criteria such as the abstraction paradigm, the granularity scale, interest of user communities, andthe perception of the ontology developer. Thus, different applications of the same domain end up having severalrepresentations of the same real world phenomenon. Multi-representation ontology is an ontology (or ontologies) thatcharacterizes ontological concept by a variable set of properties (static and dynamic) or attributes in several contexts and/ orin several scales of granularity. This paper introduces the formalism used for defining the paradigm of multi-representationontology and shows the manifestation of this paradigm with Enterprise Information Systems

ICT4D Research in Developing Countries: A Call for Pragmatism Approach

Today, Information Systems research and in particular in the area of ICT4D in developing nations is dominated by positivism and interpretivism paradigms.  Information systems contributions are influenced by historical, cultural, and political contexts in which it is done. Researchers in this area question the appropriateness of positivism and interpretivism philosophical foundations to conduct ICT4D research.  This paper explores the use of pragmatism as an alternative research paradigm to that can be employed to understand the state of the ICT4D research. Research drawing explicitly on pragmatism is still relatively rare. The paper reviews the pragmatism in terms of its ontology, epistemology, axiology and methodology and its value in the ICT4D research discipline. As a new paradigm, pragmatism disrupts the assumptions of older approaches based on the philosophy of knowledge, while providing promising new directions for conducting and understanding the nature of research in the area of ICT4D in developing countries. It is anticipated the readers of the article to make a more informed choice for themselves on whether or not to pursue the path ofpragmatism their own research. KeywordAxiology, epistemology, ICT4D, methodology, ontology, pragmatism, research paradigm

Principles and Concepts of Agent-Based Modelling for Developing Geospatial Simulations

The aim of this paper is to outline fundamental concepts and principles of the Agent-Based Modelling (ABM) paradigm, with particular reference to the development of geospatial simulations. The paper begins with a brief definition of modelling, followed by a classification of model types, and a comment regarding a shift (in certain circumstances) towards modelling systems at the individual-level. In particular, automata approaches (e.g. Cellular Automata, CA, and ABM) have been particularly popular, with ABM moving to the fore. A definition of agents and agent-based models is given; identifying their advantages and disadvantages, especially in relation to geospatial modelling. The potential use of agent-based models is discussed, and how-to instructions for developing an agent-based model are provided. Types of simulation / modelling systems available for ABM are defined, supplemented with criteria to consider before choosing a particular system for a modelling endeavour. Information pertaining to a selection of simulation / modelling systems (Swarm, MASON, Repast, StarLogo, NetLogo, OBEUS, AgentSheets and AnyLogic) is provided, categorised by their licensing policy (open source, shareware / freeware and proprietary systems). The evaluation (i.e. verification, calibration, validation and analysis) of agent-based models and their output is examined, and noteworthy applications are discussed.Geographical Information Systems (GIS) are a particularly useful medium for representing model input and output of a geospatial nature. However, GIS are not well suited to dynamic modelling (e.g. ABM). In particular, problems of representing time and change within GIS are highlighted. Consequently, this paper explores the opportunity of linking (through coupling or integration / embedding) a GIS with a simulation / modelling system purposely built, and therefore better suited to supporting the requirements of ABM. This paper concludes with a synthesis of the discussion that has proceeded. The aim of this paper is to outline fundamental concepts and principles of the Agent-Based Modelling (ABM) paradigm, with particular reference to the development of geospatial simulations. The paper begins with a brief definition of modelling, followed by a classification of model types, and a comment regarding a shift (in certain circumstances) towards modelling systems at the individual-level. In particular, automata approaches (e.g. Cellular Automata, CA, and ABM) have been particularly popular, with ABM moving to the fore. A definition of agents and agent-based models is given; identifying their advantages and disadvantages, especially in relation to geospatial modelling. The potential use of agent-based models is discussed, and how-to instructions for developing an agent-based model are provided. Types of simulation / modelling systems available for ABM are defined, supplemented with criteria to consider before choosing a particular system for a modelling endeavour. Information pertaining to a selection of simulation / modelling systems (Swarm, MASON, Repast, StarLogo, NetLogo, OBEUS, AgentSheets and AnyLogic) is provided, categorised by their licensing policy (open source, shareware / freeware and proprietary systems). The evaluation (i.e. verification, calibration, validation and analysis) of agent-based models and their output is examined, and noteworthy applications are discussed.Geographical Information Systems (GIS) are a particularly useful medium for representing model input and output of a geospatial nature. However, GIS are not well suited to dynamic modelling (e.g. ABM). In particular, problems of representing time and change within GIS are highlighted. Consequently, this paper explores the opportunity of linking (through coupling or integration / embedding) a GIS with a simulation / modelling system purposely built, and therefore better suited to supporting the requirements of ABM. This paper concludes with a synthesis of the discussion that has proceeded

TAXONOMY DEVELOPMENT IN INFORMATION SYSTEMS: DEVELOPING A TAXONOMY OF MOBILE APPLICATIONS

The complexity of the information systems field often lends itself to classification schemes, or taxonomies, which provide ways to understand the similarities and differences among objects under study. Developing a taxonomy, however, is a complex process that is often done in an ad hoc way. This research-in-progress paper uses the design science paradigm to develop a systematic method for taxonomy development in information systems. The method we propose uses an indicator or operational level model that combines both empirical to deductive and deductive to empirical approaches. We evaluate this method by using it to develop a taxonomy of mobile applications, which we have chosen because of their ever-increasing number and variety. The resulting taxonomy contains seven dimensions with fifteen characteristics. We demonstrate the usefulness of this taxonomy by analyzing a range of current and proposed mobile applications. From the results of this analysis we identify combinations of characteristics where applications are missing and thus are candidates for new and potentially useful applications.taxonomy, design science, mobile application

Openness Underpins Evidence Based Practice in Information Systems

This paper summarises research in progress on developing an evidence based approach in information systems (EBIS). EBIS offers a solution to information systems failures. Openness lies at the heart of EBIS, with open-access publishing and a culture of openness to new ways of working between IS academics and practitioners in the production of the evidence base. The authors have published an EBIS agenda and are developing a roadmap to implement this agenda. Their research activities are aimed at contributing to this roadmap and comprise: (i) setting up the open-access, peer-reviewed ‘Evidence Based Information Systems Journal’ which provides a vehicle to explore open access publishing and a research impact case study; (ii) creating an EBP culture, through establishing research networks; (iii) investigating IS practitioners’ use of resources; (iv) developing a model-driven approach for the analysis and synthesis of qualitative research within systematic literature reviews (SLRs) and using this to conduct an SLR on telehealthcare innovations. The ‘Evidence Based Information Systems journal’ lies at the heart of this research, providing the evidence repository with clear findings to take away and use, a forum to discuss and reflect on the evidence, and thus contributing to creating the paradigm shift to EBIS

The MGDO software library for data analysis in Ge neutrinoless double-beta decay experiments

The GERDA and Majorana experiments will search for neutrinoless double-beta decay of germanium-76 using isotopically enriched high-purity germanium detectors. Although the experiments differ in conceptual design, they share many aspects in common, and in particular will employ similar data analysis techniques. The collaborations are jointly developing a C++ software library, MGDO, which contains a set of data objects and interfaces to encapsulate, store and manage physical quantities of interest, such as waveforms and high-purity germanium detector geometries. These data objects define a common format for persistent data, whether it is generated by Monte Carlo simulations or an experimental apparatus, to reduce code duplication and to ease the exchange of information between detector systems. MGDO also includes general-purpose analysis tools that can be used for the processing of measured or simulated digital signals. The MGDO design is based on the Object-Oriented programming paradigm and is very flexible, allowing for easy extension and customization of the components. The tools provided by the MGDO libraries are used by both GERDA and Majorana.Comment: 4 pages, 1 figure, proceedings for TAUP201

A simple example of "Quantum Darwinism": Redundant information storage in many-spin environments

As quantum information science approaches the goal of constructing quantum computers, understanding loss of information through decoherence becomes increasingly important. The information about a system that can be obtained from its environment can facilitate quantum control and error correction. Moreover, observers gain most of their information indirectly, by monitoring (primarily photon) environments of the "objects of interest." Exactly how this information is inscribed in the environment is essential for the emergence of "the classical" from the quantum substrate. In this paper, we examine how many-qubit (or many-spin) environments can store information about a single system. The information lost to the environment can be stored redundantly, or it can be encoded in entangled modes of the environment. We go on to show that randomly chosen states of the environment almost always encode the information so that an observer must capture a majority of the environment to deduce the system's state. Conversely, in the states produced by a typical decoherence process, information about a particular observable of the system is stored redundantly. This selective proliferation of "the fittest information" (known as Quantum Darwinism) plays a key role in choosing the preferred, effectively classical observables of macroscopic systems. The developing appreciation that the environment functions not just as a garbage dump, but as a communication channel, is extending our understanding of the environment's role in the quantum-classical transition beyond the traditional paradigm of decoherence.Comment: 21 pages, 6 figures, RevTex 4. Submitted to Foundations of Physics (Asher Peres Festschrift