Integrating quality models and static analysis for comprehensive quality assessment

Subjective and Objective Quality Assessment of Swimming Pool Images

Frontiers in Neuroscience ◽

10.3389/fnins.2021.766762 ◽

2022 ◽

Vol 15 ◽

Author(s):

Fei Lei ◽

Shuhan Li ◽

Shuangyi Xie ◽

Jing Liu

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Quality Evaluation ◽

Image Quality Assessment ◽

Swimming Pool ◽

Target Area ◽

Quality Models ◽

Objective Quality ◽

Objective Quality Assessment ◽

Pool Image

As the research basis of image processing and computer vision research, image quality evaluation (IQA) has been widely used in different visual task fields. As far as we know, limited efforts have been made to date to gather swimming pool image databases and benchmark reliable objective quality models, so far. To filled this gap, in this paper we reported a new database of underwater swimming pool images for the first time, which is composed of 1500 images and associated subjective ratings recorded by 16 inexperienced observers. In addition, we proposed a main target area extraction and multi-feature fusion image quality assessment (MM-IQA) for a swimming pool environment, which performs pixel-level fusion for multiple features of the image on the premise of highlighting important detection objects. Meanwhile, a variety of well-established full-reference (FR) quality evaluation methods and partial no-reference (NR) quality evaluation algorithms are selected to verify the database we created. Extensive experimental results show that the proposed algorithm is superior to the most advanced image quality models in performance evaluation and the outcomes of subjective and objective quality assessment of most methods involved in the comparison have good correlation and consistency, which further indicating indicates that the establishment of a large-scale pool image quality assessment database is of wide applicability and importance.

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Evaluation of information systems user interface by means of software quality`s models

Informatization and communication ◽

10.34219/2078-8320-2020-11-2-127-135 ◽

2020 ◽

pp. 127-135

Author(s):

D.G. Akhunova ◽

A.V. Vostrukh ◽

P.A. Kurta

Keyword(s):

Information Systems ◽

User Interface ◽

Quality Assessment ◽

Quality Indicators ◽

Software Quality ◽

Interface Quality ◽

Quality Models ◽

Software Quality Models ◽

Concept Of Information

The concept of information systems user interface quality has multidimensional content, which is difficult to isolate and measure due to the lack of a formalized model for assessing quality and terminological differences of quality indicators in standards. This work is aimed at finding solutions for using well-known software quality models in the interest of evaluating the user interface. The ratio of user interface assessment parameters to their presence in software quality assessment models is established; drawn regarding their evolutionary transformation are conclusions.

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Software Quality: Issues, Concerns and New Directions

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v11i8.3007 ◽

2013 ◽

Vol 11 (8) ◽

pp. 2887-2894

Author(s):

Sarachyuth Sabbani ◽

Kiran Kumar Reddi ◽

S.V. Achuta Rao

Keyword(s):

Quality Assessment ◽

Software Quality ◽

Design Patterns ◽

Software Metrics ◽

Object Oriented ◽

Quality Models ◽

Object Oriented Design ◽

Ongoing Process ◽

New Directions ◽

Quality Issues

Software metrics and quality models have a very important role to play in measurement of software quality. A number of well-known quality models and software metrics are used to build quality software both in industry and in academia. Development of software metrics is an ongoing process with new metrics being continuously tried out.Â However, during our research on measuring software quality using object oriented design patterns, we faced many issues related to existing software metrics and quality models. For a particular situation of interest, any established metric can be used. If none is found to be appropriate, a new metric can be devised. In this paper, we discuss some of these issues and present our approach to software quality assessment.

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