Program slice metrics and their potential role in DSL design, position paper

The advantages a DSL and the benefits its use potentially brings imply that informed decisions on the design of a domain specific language are of paramount importance for its use. We believe that the foundations of such decisions should be informed by analysis of data empirically collected from systems to highlight salient features that should then form the basis of a DSL. To support this theory, we describe an empirical study of a large OSS called Barcode, written in C, and from which we collected two well-known 'slice' based metrics. We analyzed multiple versions of the system and sliced its functions in three separate ways (i.e., input, output and global variables). The purpose of the study was to try and identify sensitivities and traits in those metrics that might inform features of a potential slice-based DSL. Results indicated that cohesion was adversely affected through the use of global variables and that appreciation of the role of function inputs and outputs can be revealed through slicing. The study presented is motivated primarily by the problems with current tools and interfaces experienced directly by the authors in extracting slicing data and the need to promote the benefits that analysis of slice data and slicing in general can offer.

A framework for evaluating the European airline costs of disabled persons and persons with reduced mobility

In recent years, airlines have been servicing a greater variety, and increasing numbers, of disabled persons and persons with reduced mobility (PRMs), particularly associated with ageing, obesity and medical needs. With the quantity of PRMs likely to increase in the future, there will be a growing impact on the airlines' associated actual and opportunity costs, about which there is minimal literature and data. Therefore the aim of this paper is to identify standard functional key factors (FKFs) with which airlines could audit their PRMs costs, and which could be used by other interested bodies, such as governments, when considering relevant aviation policy. These FKFs are related to nine areas, namely PRMs’ transfers; mobility aids; aircraft delays/diversions costs; staff training costs; staff health, safety and welfare; aircraft fixtures and equipment costs; airport costs; transaction costs; and opportunity costs. Further research is needed to obtain the data for these FKFs.

Policy mixes for resource efficiency – conceptual issues, design and assessment challenges

Since the 1950s the global consumption of natural resources has skyrocketed, both in magnitude and in the range of resources used. Closely coupled with emissions of greenhouse gases, land consumption, pollution of environmental media, and degradation of ecosystems, as well as with economic development, increasing resource use is a key issue to be addressed in order to keep the planet Earth in a safe and just operating space. This requires thinking about absolute reductions in resource use and associated environmental impacts, and, when put in the context of current re-focusing on economic growth at the European level, absolute decoupling, i.e., maintaining economic development while absolutely reducing resource use and associated environmental impacts. Changing behavioural, institutional and organisational structures that lock-in unsustainable resource use is, thus, a formidable challenge as existing world views, social practices, infrastructures, as well as power structures, make initiating change difficult. Hence, policy mixes are needed that will target different drivers in a systematic way. When designing policy mixes for decoupling, the effect of individual instruments on other drivers and on other instruments in a mix should be considered and potential negative effects be mitigated. This requires smart and time-dynamic policy packaging. This Special Issue investigates the following research questions: What is decoupling and how does it relate to resource efficiency and environmental policy? How can we develop and realize policy mixes for decoupling economic development from resource use and associated environmental impacts? And how can we do this in a systemic way, so that all relevant dimensions and linkages—including across economic and social issues, such as production, consumption, transport, growth and wellbeing­—are taken into account? In addressing these questions, the overarching goals of this Special Issue are to: address the challenges related to more sustainable resource-use; contribute to the development of successful policy tools and practices for sustainable development and resource efficiency (particularly through the exploration of socio-economic, scientific, and integrated aspects of sustainable development); and inform policy debates and policy-making. The Special Issue draws on findings from the EU and other countries to offer lessons of international relevance for policy mixes for more sustainable resource-use, with findings of interest to policy makers in central and local government and NGOs, decision makers in business, academics, researchers, and scientists.

Exploring Auditors’ Perceptions of the Usage and Importance of Audit Information Technology

This study provides novel evidence on the extent to which auditors perceive the usage and importance of audit technology in an emerging market. It explores the types of audit technology tools used and factors influencing the use of these; it tests the association between the perceived use and importance of the tools and firm-specific/ auditor-specific characteristics. Using interviews and questionnaires from auditors at Big 4 and international non-Big 4 audit firms, the findings reflect the highly perceived importance of using audit technology in technical and administrative procedures, specifically to assess risk. We find that the perceived use and importance of audit technology is relatively higher for those in Big 4 firms, with less years of auditor experience and higher auditor technology expertise, and those in management positions. The results provide policy makers with guidance on the opportunities and challenges of using information technology in the audit process.

Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration

Shape-based registration methods frequently encounters in the domains of computer vision, image processing and medical imaging. The registration problem is to find an optimal transformation/mapping between sets of rigid or nonrigid objects and to automatically solve for correspondences. In this paper we present a comparison of two different probabilistic methods, the entropy and the growing neural gas network (GNG), as general feature-based registration algorithms. Using entropy shape modelling is performed by connecting the point sets with the highest probability of curvature information, while with GNG the points sets are connected using nearest-neighbour relationships derived from competitive hebbian learning. In order to compare performances we use different levels of shape deformation starting with a simple shape 2D MRI brain ventricles and moving to more complicated shapes like hands. Results both quantitatively and qualitatively are given for both sets.

The political economy of co-ordination challenges in the National Health Service: a postpositivist evaluation of diabetes policy and governance

The present PhD thesis develops and applies an evaluative methodology suited to the evaluation of policy and governance in complex policy areas. While extensive literatures exist on the topic of policy evaluation, governance evaluation has received less attention. At the level of governance, policymakers confront choices between different policy tools and governance arrangements in their attempts to solve policy problems, including variants of hierarchy, networks and markets. There is a need for theoretically-informed empirical research to inform decision-making at this level. To that end, the PhD develops an approach to evaluation by combining postpositivist policy analysis with heterodox political economy. Postpositivist policy analysis recognises that policy problems are often contested, that choices between policy options can involve significant trade-offs and that knowledge of policy options is itself dispersed and fragmented. Similarly, heterodox economics combines a concept of incommensurable values with an appreciation of the strengths and weaknesses of different institutional arrangements to realise them. A central concept of the field is coordination, which orientates policy analysis to the interactions of stakeholders in policy processes. The challenge of governance is to select the appropriate policy tools and arrangements which facilitate coordination. Via a postpositivist exploration of stakeholder ‘frames’, it is possible to ascertain whether coordination is occurring and to identify problems if it is not. Evaluative claims of governance can be made where arrangements can be shown to frustrate the realisation of shared values and objectives. The research makes a contribution to knowledge in a number of ways a) a distinctive evaluative approach that could be applied to other areas of health and public policy b) greater appreciation of the strengths and weaknesses of different forms of evidence in public policy and in particular health policy and c) concrete policy proposals for the governance and organisation of diabetes services, with implications for the NHS more broadly.