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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22464

REVIEW PAPER ON AN AUTOMATIC WEB PAGE LAYOUT METHOD .WITH PYTHON

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22464

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KP

Kiran Patel

PAK

Prof. Anshul Khurana

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Abstract

With the rapid growth of digital technologies, the number of software applications and user interfaces has increased dramatically. To ensure the quality, security, and usability of these interfaces, it is essential to have efficient and effective methods for analyzing and testing them. Automatic analysis techniques can help identify potential problems in user interfaces, such as accessibility issues, usability problems, and security vulnerabilities. These methods can also help ensure that user interfaces are consistent across different platforms and devices, which is crucial in today’s multi-device and multi-platform environment. Analyzing web page layouts and structure is a complex and challenging task due to the constantly changing nature of web pages. Web pages can change in terms of style, content, and structure, often drastically and frequently. This makes it difficult to develop and compare methods for analyzing them. Overall, while the challenges associated with comparing and evaluating methods for analyzing web page layouts and structure should not be overlooked, it is important to continue researching and developing these techniques to address the evolving nature of web pages and the increasing demands of users for high-quality and secure web-based systems.

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Cite This Article

Kiran Patel, Prof. Anshul Khurana, "REVIEW PAPER ON AN AUTOMATIC WEB PAGE LAYOUT METHOD .WITH PYTHON," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22464

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Publication Date

5/29/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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