40 resultados para software quality metrics


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This case study-based research examines the outcomes of using quality system software (QSS) in terms of the support it provides to, and the constraints it imposes on, its users. The results indicate that QSS can help facilitate knowledge access and sharing, and to a lesser extent, facilitate communication. It can be an effective mechanism for initiating and managing changes to work processes. Although some writers have opined that information technology (IT) is another way of controlling workers, this was not evidenced in this study. Technical shortcomings did hamper performance of some tasks, and for some managers, extra work was involved.

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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.

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The role of marketing channels is to implement marketing strategy. The difficulty of channel strategy is compounded by the emergence of e-channels and the need to integrate e-channels into traditional or “bricks and mortar” channels (Rowley 2002). As a result, managing performance across a greater number of channels with diverse characteristics is more difficult.

Organization and marketing performance is to some degree a function of the quality of channel implementation and particularly channel performance measurement. The channels literature suggests a “channel performance metric paradox”. Approaches to channel performance metrics have been mutually orthogonal or even negatively correlated. (Jeuland & Shugan 1983; Lewis & Lambert 1991; Larson & Lusch 1992). This paradox implies that it is impossible for all channel performance metrics to be maximized simultaneously and tradeoffs exist.

This paper proposes a research model and propositions which extend previous research and attempts to reconcile this “channel performance metric paradox”. The model assumes that testing the relationship between the Miles and Snow strategy types and a comprehensive range of channel performance metrics may explain this paradox. Previous implementation performance research has focused more on the Porter strategies rather than the Miles and Snow strategy types.

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The Research Quality Framework uses Thomson-ISI citation benchmarks as its main set of objective measures of research quality. The Thomson-ISI measures rely on identifying a core set of journals in which the major publications for a discipline are to be found. The core for a discipline is determined by applying a nontransparent process that is partly based on Bradford’s Law (1934). Yet Bradford was not seeking measures about quality of publications or journals. How valid then is it to base measures of publication quality on Bradford’s Law? We explore this by returning to Bradford’s Law and subsequent related research asking ‘what is Bradford’s Law really about?’ We go further, and ask ‘does Bradford’s Law apply in Information Systems?’ We use data from John Lamp’s internationally respected Index of Information Systems Journals to explore the latter question. We have found that Information Systems may have a core of journals only a subset of which is also in the list of Thomson-ISI journals. There remain many unanswered questions about the RQF metrics based on Thomson-ISI and their applicability to information systems.

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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.

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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.

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Global software development teams are highly dependent on technology for daily activities and production. Researchers have investigated the areas such as communication and time-zone difficulties when working across global boundaries during the last decade. However, this research explores job satisfaction, efficiency and the quality of working life of people working in a medium sized globally distributed software development organisation. It is assumed that the work structures of organisations of today are influenced by the theories from the past. This paper focus upon the issues that faces an Australian organisation involved in global software development, the research compares and contrasts the feelings of the employees using a Sociotechnical approach. The discussion highlights several problems areas specific to the organisation which will lay the foundation for future research.

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Preliminary research into the critical factors associated with software development/implementation identified three dimensions for successful implementation based on alignment of the requirements engineering process with business needs, change management process and quality of the implementation process. Research results demonstrate the link between the conceptual model for process quality and the process management attributes determined during the research.

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Restless legs syndrome (RLS) is a neurological movement disorder characterized by sensory symptoms and motor disturbances. While the underlying cause remains unknown, it is suggested that 20–25% of people with RLS are affected seriously enough to require pharmacological treatment. Dopamine agonists (DAs) are the most common treatment and act by increasing the low levels of dopamine to which RLS is often attributed. A growing literature highlights the debilitating and distressing nature of this condition from the patient's perspective. While sleep problems are most commonly reported, the impact of RLS on quality of life (QOL) is wide ranging, affecting relationships with partners, sex life, family life, social life, leisure activities, friendships, everyday activities, concentration, travel, career/work, sleep, and health.

We conducted a systematic review of clinical trials in which DAs have been evaluated in terms of RLS-specific QOL, i.e. their impact on the QOL of people with RLS, and critically reviewed the development history and measurement properties of RLS-specific QOL instruments.

A systematic search using terms synonymous with RLS, DAs and QOL was conducted using Scopus software, which includes MEDLINE, PsycINFO, EMBASE, and CINAHL. Our search covered publications from 2000 (prior to which RLS-specific QOL measures did not exist) to August 2009. Trials were included in our review if they evaluated DAs for the treatment of adults with RLS and reported evaluation using an RLS-specific QOL measure. We also ran citation searches to identify papers reporting the development history and measurement properties of the identified RLS-specific QOL instruments.

Three measures of RLS-specific QOL have been developed in recent years and are reviewed here: the Restless Legs Syndrome Quality of Life (RLSQOL) questionnaire, the Restless Legs Syndrome Quality of Life Instrument (RLS-QLI), and the Quality of Life Restless Legs Syndrome (QOL-RLS) measure. Critical review indicates that each has limitations (particularly in terms of published developmental history and content validity). Eleven trials of DAs were identified that included assessment of RLS-specific QOL (nine using the RLSQOL and two using the QOL-RLS). In all studies, significant improvements in RLS-specific QOL were observed, although these were mostly short term (12 weeks) and large placebo effects were also noted.

In people with RLS, the use of DAs has been shown to improve RLS-specific QOL. Longer-term, large-scale studies may be needed to confirm these findings and demonstrate statistically significant improvements in RLS-specific QOL at lower doses. Further development of the RLS-specific QOL measures is needed to ensure that the full impact of RLS (and the full benefit of new treatments) on aspects of life identified as important to individuals is captured in future studies.

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Purpose:  The purpose of the study was to obtain anterior segment biometry for 40 normal eyes and to measure variables that may be useful to design large diameter gas permeable contact lenses that sit outside the region normally viewed by corneal topographers. Also, the distribution of these variables in the normal eye and how well they correlated to each other were determined.

Methods:  This is a cross-sectional study, in which data were collected at a single study visit. Corneal topography and imaging of the anterior segment of the eye were performed using the Orbscan II and Visante OCT. The variables that were collected were horizontal K reading, central corneal/scleral sagittal depth at 15 mm chord, and nasal and temporal angles at the 15 mm chord using the built-in software measurement tools.

Results:  The central horizontal K readings for the 40 eyes were 43 ± 1.73 D (7.85 ± 0.31 mm), with ± 95% confidence interval (CI) of 38.7 (8.7 mm) and 46.6 D (7.24 mm). The mean corneal/scleral sagittal depth at the 15 mm chord was 3.74 ± 0.19 mm and the range was 3.14 to 4.04 mm. The average nasal angle (which was not different from the temporal angle) at the 15 mm chord was 39.32 ± 3.07 degrees and the ± 95%CI was 33.7 and 45.5 degrees. The correlation coefficient comparing the K reading and the corneal/scleral sagittal depth showed the best correlation (0.58, p < 0.001). The corneal/scleral sagittal depth at 15 mm correlated less with the nasal angle (0.44, p = 0.004) and the weakest correlation was for the nasal angle at 15 mm with the horizontal readings (0.32, p = 0.046).

Conclusion:  The Visante OCT is a valuable tool for imaging the anterior segment of the eye. The Visante OCT is especially effective in providing the biometry of the peripheral cornea and sclera and may help in fitting GP lenses with a higher percentage of initial lens success, when the corneal sag and lens sag are better matched.

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BACKGROUND : Project Based Learning (PBL) allows students to learn by doing hands on work and thus also again practical skills. Therefore going to software simulation may seem like a backwards step. However, the opportunity presented itself to create a unit on Artificial intelligence (AI). This lends itself it a software approach. An added benefit was the opportunity to create a PBL AI unit for both Engineering and IT students.

PURPOSE : Can Project Based Learning be improved with dedicated, specifically written, software design?

DESIGN/METHOD : After introducing a dedicated software package the student marks and student feedback for the AI unit for a few years before the package introduction until the most recent year was analysed. In the student surveys, 2 key questions where examined: unit material quality and feedback to students. Student comments were also studied.

RESULTS : Student surveys gave a consistently high mark for unit’s material and student marks seems consistent as well but favourable comments increased. The most significant result was that the students’ thoughts about the project feedback had increased significantly, probably due to the inbuilt feedback system in the dedicated software package.

CONCLUSIONS : With an appropriate subject matter a dedicated software package can help students in PBL. Student enjoyment increased which, in turn, increased their motivation.

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Researchers strive to optimize data quality in order to ensure that study findings are valid and reliable. In this paper, we describe a data quality control program designed to maximize quality of survey data collected using computer-assisted personal interviews. The quality control program comprised three phases: (1) software development, (2) an interviewer quality control protocol, and (3) a data cleaning and processing protocol. To illustrate the value of the program, we assess its use in the Translating Research in Elder Care Study. We utilize data collected annually for two years from computer-assisted personal interviews with 3004 healthcare aides. Data quality was assessed using both survey and process data. Missing data and data errors were minimal. Mean and median values and standard deviations were within acceptable limits. Process data indicated that in only 3.4% and 4.0% of cases was the interviewer unable to conduct interviews in accordance with the details of the program. Interviewers’ perceptions of interview quality also significantly improved between Years 1 and 2. While this data quality control program was demanding in terms of time and resources, we found that the benefits clearly outweighed the effort required to achieve high-quality data.

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Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book.

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The project is committed to understanding, recognising and developing various forms of institutionally relevant distributed leadership in developing and trialling various components of a quality management framework for online learning environments in Australian higher education. This paper provides an overview of issues related to the management and improvement of quality, including in the context of higher education. In response to the complex and multi-dimensional nature of both quality and online learning environments (OLEs), the concept of a framework for organising policies, procedures and actions relating to the good governance of OLEs can be found in the literature. Such frameworks vary in scope, format and title, and a (non-exhaustive) sample is presented in summary here. Key learnings that can be drawn from the exemplars frameworks and the related literature include:
- the processes for the design of such frameworks;
- the components of such frameworks;
- the measurement mechanisms and metrics employed in such frameworks; and
- the validation of such frameworks.

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Cognitive radio improves spectrum efficiency and mitigates spectrum scarcity by allowing cognitive users to opportunistically access idle chunks of the spectrum owned by licensed users. In long-term spectrum leasing markets, secondary network operators make a decision about how much spectrum is optimal to fulfill their users' data transmission requirements. We study this optimization problem in multiple channel scenarios. Under the constrains of expected user admission rate and quality of service, we model the secondary network into a dynamic data transportation system. In this system, the spectrum accesses of both primary users and secondary users are in accordance with stochastic processes, respectively. The main metrics of quality of service we are concerned with include user admission rate, average transmission delay and stability of the delay. To quantify the relationship between spectrum provisioning and quality of service, we propose an approximate analytical model. We use the model to estimate the lower and upper bounds of the optimal amount of the spectrum. The distance between the bounds is relatively narrow. In addition, we design a simple algorithm to compute the optimum by using the bounds. We conduct numerical simulations on a slotted multiple channel dynamic spectrum access network model. Simulation results demonstrate the preciseness of the proposed model. Our work sheds light on the design of game and auction based dynamic spectrum sharing mechanisms in cognitive radio networks.