The Experts below are selected from a list of 677475 Experts worldwide ranked by ideXlab platform
L.h. Werth - One of the best experts on this subject based on the ideXlab platform.
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Quality Assessment on a software engineering project
IEEE Transactions on Education, 1993Co-Authors: L.h. WerthAbstract:The role of Quality Assessment in students' software development projects is discussed, and techniques for introducing its practice into software engineering instruction are described. The techniques are described in the context of a course at the University of Texas at Austin. The course is summarized together with a series of Quality Assessment processes implemented in the course project. References to additional source material are provided. >
Jelena Savović - One of the best experts on this subject based on the ideXlab platform.
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A proposed framework for developing Quality Assessment tools
Systematic reviews, 2017Co-Authors: Penny Whiting, Robert Wolff, Susan Mallett, Iveta Simera, Jelena SavovićAbstract:Assessment of the Quality of included studies is an essential component of any systematic review. A formal Quality Assessment is facilitated by using a structured tool. There are currently no guidelines available for researchers wanting to develop a new Quality Assessment tool. This paper provides a framework for developing Quality Assessment tools based on our experiences of developing a variety of Quality Assessment tools for studies of differing designs over the last 14 years. We have also drawn on experience from the work of the EQUATOR Network in producing guidance for developing reporting guidelines. We do not recommend a single ‘best’ approach. Instead, we provide a general framework with suggestions as to how the different stages can be approached. Our proposed framework is based around three key stages: initial steps, tool development and dissemination. We recommend that anyone who would like to develop a new Quality Assessment tool follow the stages outlined in this paper. We hope that our proposed framework will increase the number of tools developed using robust methods.
I L Boyd - One of the best experts on this subject based on the ideXlab platform.
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Quality Assessment tools for evidence from environmental science
Environmental Evidence, 2014Co-Authors: Gary Bilotta, Alice M Milner, I L BoydAbstract:Assessment of the Quality of studies is a critical component of evidence syntheses such as systematic reviews (SRs) that are used to inform policy decisions. To reduce the potential for reviewer bias, and to ensure that the findings of SRs are transparent and reproducible, organisations such as the Cochrane Collaboration, the Campbell Collaboration, and the Collaboration for Environmental Evidence, recommend the use of formal Quality Assessment tools as opposed to informal expert judgment. However, there is a bewildering array of around 300 formal Quality Assessment tools that have been identified in the literature, and it has been demonstrated that the use of different tools for the Assessment of the same studies can result in different estimates of Quality, which can potentially reverse the conclusions of a SR. It is therefore important to consider carefully, the choice of Quality Assessment tool. We argue that Quality Assessment tools should: (1) have proven construct validity (i.e. the Assessment criteria have demonstrable link with what they purport to measure), (2) facilitate inter-reviewer agreement, (3) be applicable across study designs, and (4) be quick and easy to use. Our aim was to examine current best practice for Quality Assessment in healthcare and investigate the extent to which these best practices could be useful for assessing the Quality of environmental science studies. The feasibility of this transfer is demonstrated in a number of existing SRs on environmental topics. We propose that environmental practitioners should revise, test and adopt the best practice Quality Assessment tools used in healthcare as a recommended approach for application to environmental science. We provide pilot versions of Quality Assessment tools, modified from the best practice tools used in healthcare, for application on studies from environmental science.
Xiaolong Zhang - One of the best experts on this subject based on the ideXlab platform.
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Blind noisy image Quality Assessment using block homogeneity
Computers & Electrical Engineering, 2014Co-Authors: Xiaotong Huang, Li Chen, Jing Tian, Xiaolong ZhangAbstract:Blind noisy image Quality Assessment aims to evaluate the Quality of the degraded noisy image without the need for the ground truth image. To tackle this challenge, this paper proposes an image Quality Assessment approach using block homogeneity. First, motivated by the local smoothness characteristic of the image, a block-based homogeneity measure is proposed to estimate the statistics (e.g., variance) of the noise incurred in the image, based on adaptively selected homogeneous image regions. Second, an image Quality Assessment approach is proposed by exploitie above-mentioned estimated noise variance, along with the visual masking effect of the human visual system. Experimental results are provided to demonstrate that the proposed image noise estimation approach yields superior accuracy and stability performance to that of conventional approaches, and the proposed image Quality Assessment approach achieves consistent performance to that of human subjective evaluation.
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SMC - Homogeneity Based Blind Noisy Image Quality Assessment
2013 IEEE International Conference on Systems Man and Cybernetics, 2013Co-Authors: Xiaotong Huang, Li Chen, Jing Tian, Xiaolong ZhangAbstract:Blind noisy image Quality Assessment aims to evaluate the Quality of the degraded noisy image without the need for the ground truth image. To tackle this challenge, this paper proposes an image Quality Assessment approach using block homogeneity. The contribution of the proposed approach is two-fold. First, a block-based homogeneity measure is proposed to estimate the statistics (e.g., variance) of the noise incurred in the image, based on adaptively selected homogeneous image regions. Second, an image Quality Assessment approach is proposed by exploiting the above-mentioned estimated noise variance, along with the visual masking effect of the human visual system. Experimental results are provided to demonstrate that the proposed image noise estimation approach yields superior accuracy and stability performance to that of conventional approaches, and the proposed image Quality Assessment approach achieves consistent performance to that of human subjective evaluation.
Goiuria Sagardui - One of the best experts on this subject based on the ideXlab platform.
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Quality Assessment in software product lines
International Conference on Software Reuse, 2008Co-Authors: Leire Etxeberria, Goiuria SagarduiAbstract:In a software product line, Quality Assessment is especially important because an error or an inadequate design decision can be spread into a lot of products. Moreover, in a product line, different members of the line may require different Quality attributes. In this paper, a method for Quality aware software product line engineering that takes into account the variability of Quality aspects and facilitates Quality Assessment is presented.