Abstract
Software with high quality is in demand in this competitive software industry. Software validation, verification and quality maintenance are significant principles of testing. Performance testing is the process of determining the speed and the effectiveness of a system. It basically focuses on determining whether the user of the system will be satisfied with the performance characteristics of the application. Performance optimization is the process to make and manage the quality demands of a product. In this paper, we propose a novel approach named web performance analyzer (WebN) which analyses the website, retrieves all performance-dependent factors and gives appropriate suggestions. These suggestions are framed based on the analysis of approximately 10 million websites’ performance data. These suggestions are distinct from other web analyzer tools. After web page optimization, the status visualization for performance improvement is given by WebN. Our research work will help the developers to construct systematic and qualitative software throughout the software development life cycle.
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Patel, C., Gulati, R. (2018). WebN: A Strainer Approach for Website Performance Analysis. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 4. Springer, Singapore. https://doi.org/10.1007/978-981-10-4600-1_1
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DOI: https://doi.org/10.1007/978-981-10-4600-1_1
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