Teachers as researchers and teachers as software developers: how use-case analysis helps build better educational software

A series of government initiatives has raised both the profile of ICT in the curriculum and the expectation that high quality teaching and learning resources will be accessible across electronic networks. In order for e-learning resources such as websites to have the maximum educational impact, teachers need to be involved in their design and development. Use-case analysis provides a means of defining user requirements and other constraints in such a way that software developers can produce e-learning resources which reflect teachers' professional knowledge and support their classroom practice. It has some features in common with the participatory action research used to develop other aspects of classroom practice. Two case-studies are presented: one involves the development of an on-line resource centred on transcripts of original historical documents; the other describes how 'Learning how to Learn', a major, distributed research project funded under the ESRC Teaching and Learning Research Programme is using use-case analysis to develop web resources and services.

A simulation model of self-organising evolvability in software systems

The evolvability of a software artifact is its capacity for producing heritable or reusable variants; the inverse quality is the artifact's inertia or resistance to evolutionary change. Evolvability in software systems may arise from engineering and/or self-organising processes. We describe our 'Conditional Growth' simulation model of software evolution and show how, it can be used to investigate evolvability from a self-organisation perspective. The model is derived from the Bak-Sneppen family of 'self-organised criticality' simulations. It shows good qualitative agreement with Lehman's 'laws of software evolution' and reproduces phenomena that have been observed empirically. The model suggests interesting predictions about the dynamics of evolvability and implies that much of the observed variability in software evolution can be accounted for by comparatively simple self-organising processes.

Analysis of the dominant enterprise information assurance mechanisms

The purpose of this study is to analyse current data continuity mechanisms employed by the target group of businesses and to identify any inadequacies in the mechanisms as a whole. The questionnaire responses indicate that 47% of respondents do perceive backup methodologies as important, with a total of 70% of respondents having some backup methodology already in place. Businesses in Moulton Park perceive the loss of data to have a significant effect upon their business’ ability to function. Only 14% of respondents indicated that loss of data on computer systems would not affect their business at all, with 54% of respondents indicating that there would be either a “major effect” (or greater) on their ability to operate. Respondents that have experienced data loss were more likely to have backup methodologies in place (53%) than respondents that had not experienced data loss (18%). Although the number of respondents clearly affected the quality and conclusiveness of the results returned, the level of backup methodologies in place appears to be proportional to the company size. Further investigation is recommended into the subject in order to validate the information gleaned from the small number of respondents.

An empirical study of process-related attributes in segmented software cost-estimation relationships

Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the historical database considered contains data coming from projects of a heterogeneous nature. The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for more realistic models that use several local estimation relationships. Nonetheless, it may be hypothesized that using clustering algorithms without previous consideration of the influence of well-known project attributes misses the opportunity to obtain more realistic segments. In this paper, we describe the results of an empirical study using the ISBSG-8 database and the EM clustering algorithm that studies the influence of the consideration of two process-related attributes as drivers of the clustering process: the use of engineering methodologies and the use of CASE tools. The results provide evidence that such consideration conditions significantly the final model obtained, even though the resulting predictive quality is of a similar magnitude.

FACSGen 2.0 animation software: generating three-dimensional FACS-valid facial expressions for emotion research

In this article, we present FACSGen 2.0, new animation software for creating static and dynamic threedimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants’ recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and euroscience research.

An industry viewpoint on the role of farm assurance in delivering food safety to the consumer: the case of the dairy sector in England and Wales

Food safety, alongside food quality, remains a primary concern of both consumers and those along the whole food supply chain, leading to regulation by government alongside private third party certification. Much has been written about the value of these systems primarily from the perception of the consumer. This paper reports on a study that examined industry perceptions on the regulatory and assurance systems within the dairy sector of England and Wales. It found that the primary producer found value in both systems, although from a food hygiene focus regulation was seen to be more rigorous. Other stakeholders along the dairy food supply chain saw the assurance scheme as more rigorous. All stakeholders recognised the need to reduce duplication in delivering food safety through combining key elements of both systems with the added potential for better communication of both food safety and quality to the final consumer.

Prescription software for recovery and rehabilitation using Microsoft Kinect

Brain injuries, including stroke, can be debilitating incidents with potential for severe long term effects; many people stop making significant progress once leaving in-patient medical care and are unable to fully restore their quality of life when returning home. The aim of this collaborative project, between the Royal Berkshire NHS Foundation Trust and the University of Reading, is to provide a low cost portable system that supports a patient's condition and their recovery in hospital or at home. This is done by providing engaging applications with targeted gameplay that is individually tailored to the rehabilitation of the patient's symptoms. The applications are capable of real-time data capture and analysis in order to provide information to therapists on patient progress and to further improve the personalized care that an individual can receive.

Generating Segmented Quality Meshes from Images

Techniques devoted to generating triangular meshes from intensity images either take as input a segmented image or generate a mesh without distinguishing individual structures contained in the image. These facts may cause difficulties in using such techniques in some applications, such as numerical simulations. In this work we reformulate a previously developed technique for mesh generation from intensity images called Imesh. This reformulation makes Imesh more versatile due to an unified framework that allows an easy change of refinement metric, rendering it effective for constructing meshes for applications with varied requirements, such as numerical simulation and image modeling. Furthermore, a deeper study about the point insertion problem and the development of geometrical criterion for segmentation is also reported in this paper. Meshes with theoretical guarantee of quality can also be obtained for each individual image structure as a post-processing step, a characteristic not usually found in other methods. The tests demonstrate the flexibility and the effectiveness of the approach.

Scheduling Grid Applications with Software Requirements

The aim of task scheduling is to minimize the makespan of applications, exploiting the best possible way to use shared resources. Applications have requirements which call for customized environments for their execution. One way to provide such environments is to use virtualization on demand. This paper presents two schedulers based on integer linear programming which schedule virtual machines (VMs) in grid resources and tasks on these VMs. The schedulers differ from previous work by the joint scheduling of tasks and VMs and by considering the impact of the available bandwidth on the quality of the schedule. Experiments show the efficacy of the schedulers in scenarios with different network configurations.

The effects of Kanban in software development teams : a study of the implementation at Sandvik

In software development organizations there is sometimes a need for change. In order to meet continuously increasing demands from their customers, Sandvik IT Services- SITS, at Sandvik in Sweden, required improving the way they worked with software development. Due to issues like a lot of work in progress and lot of simultaneous tasks for individuals in the teams that caused stress, it was almost impossible to address the question of working with improvements. In order to enable the improvement process Kanban was introduced in the software development teams. Kanban for software development is a change method created by David J. Anderson. The purpose of this thesis is twofold. One part is to assess what effects Kanban has had on the software development teams. The other part is to make a documentation of the Kanban implementation process at SITS. The documentation has been made on the basis of both company internal resources and observations of the Kanban implementation process. The effects of Kanban have been researched with an interview survey to the teams that have gone through the Kick start of the Kanban process. The result of the thesis is also twofold. One part of the result is an extensive documentation of the implementation process of Kanban at SITS. The other part is an assessment of the effects that Kanban has had at SITS. The major effects have been that the teams are experiencing less stress, more focus on quality and better customer collaboration. It is also evident is that it takes time for some effects to evolve when implementing Kanban

What will affect software reuse: a causal model analysis

Software reuse is an important topic due to its potential benefits in increasing product quality and decreasing cost. Although more and more people are aware that not only technical issues, but also nontechnical issues are important to the success of software reuse, people are still not certain which factors will have direct effect on the success of reuse. In this paper, we applied a causal discovery algorithm to the software reuse survey data [2]. Ensemble strategy is incorporated to locate a probable causal model structure for software reuse, and find all those factors which have direct effect on the success of reuse. Our discovery results reinforced some conclusions of Morisio et al. and found some new conclusions which might significantly improve the odds of a reuse project succeeding.

Evolutionary Testing of Autonomous Software Agents

A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make substantial decisions for themselves, so thorough testing is an important consideration. However, autonomy also makes testing harder; by their nature, autonomous agents may react in different ways to the same inputs over time, because, for instance they have changeable goals and knowledge. For this reason, we argue that testing of autonomous agents requires a procedure that caters for a wide range of test case contexts, and that can search for the most demanding of these test cases, even when they are not apparent to the agents’ developers. In this paper, we address this problem, introducing and evaluating an approach to testing autonomous agents that uses evolutionary optimization to generate demanding test cases.

Project quality management in virtual environments : a primer

The rise of geographically dispersed project teams enabled by technology has made project quality management a significant challenge for organizations. This paper uses findings from a project on geographically dispersed, cooperating SMEs in the building trade, to explore whether concepts and artefacts from the Rational Unified Process® (RUP®) software development approach could be adapted and used to better manage quality in virtual projects. Our future research aims to explore the use of RUP artefacts in a virtual environment and their impact on
project management and quality.

Modern auditing & assurance services

On 1 May 2006, the Auditing and Assurance Standards Board (AUASB) introduced a series of new legally enforceable Australian Auditing Standards (ASAs), effective 1 July 2006.

Corporate collapses over the last five years, and subsequent criticisms of the audit role, have necessitated a review of the existing auditing standards to ensure audit quality, return stakeholder confidence in the reputation of the audit process, and reinstate to the profession the core audit qualities of reliability, transparency, trust and integrity.

'Modern Auditing and Assurance Services 3rd Edition' reflects the latest developments in the profession, detailing the audit procedures under the 35 legally enforceable ASAs.

Further, this edition has been thoroughly revised to present a current coverage of the auditing environment: the increased focus on professional ethics and ethical competence, governance and professional independence, changes in legal liability for the audit profession, local and international regulatory developments, whilst continuing to provide a thorough analysis of contemporary audit practice as well as significant consideration of assurance services beyond the traditional audit.

Improving the quality of life for patients' with co-morbidities requiring acute care

Reduced mortality rates in the Western world have created an increase in people with co-morbidities who have the potential to require acute care hospital services. These patients' chronic conditions often require complex needs that may not always be met by an acute care focus. This has created a precedent for nurses concerned with the holistic care and quality of life for these patients. This paper aims to describe the experiences of patients with co-morbidities who were admitted to hospital with an acute illness. This exploratory descriptive design selected patients in acute care who had more than one co-morbidity for approximately five years. Data was obtained from a purposive sample of twelve patients within two weeks of being discharged home using a semi-structured interview approach. Data analysis was conducted utilising Nvivo software to process the Colaizzi [1978] method. The theme clusters revealed a lack of continuity and co-ordinated care of the patients' co-morbidities during the acute admission and in discharge planning. It was seen that combinations of chronic conditions and treatments affected these patients' experience of acute care and thereafter, where conceptualisations of co-morbidity failed to accurately capture the underlying health care needs of these patients. These findings have implications for a comprehensive and considered approach to these patients' health care needs and quality of life whilst developing an improved understanding of co-morbidity for nursing. Recommendations for further research conclude this paper.