Alao O.D. et al., International Journal of Advances in Computer Science and Technology, 10(9), September 2021, 16 - 22 16 ABSTRACT Anomalies in website performance are very common. Most of the time they are short and only affect a small portion of the users. However, in e-commerce an anomaly is very expensive. Just one minute with an underperforming site means a big loss for a big e- commerce retailer. E-commerce web site operations are heavily transactional and prone to small, short time failures. Anomalies are sometimes small, and as such, they are not caught by the retailer web operations. However, the customers do perceive these anomalies. This paper highlights the major websites anomalies and formulates a conceptual framework that analyses them. Key words: Anomaly, e-Commerce, Websites, World Wide Web (WWW). 1. INTRODUCTION The internet in general has been more productive and effective; it has affected and immensely improved our everyday lives and activity sectors which include the economy, education, and entertainment industry in all the countries of the world. The internet currently inhabits not less than a billion websites and has many frequent daily users [1]. There are rapid uses of mobile devices with so many useful functionalities and with the introduction of the “Internet of Things” (“IoT”), the amount has increased to more than 50 billion devices overtime [4]. The increasing establishment and use of web technologies towards the WWW, has made the Internet users more cautious about pre-existing/primitive users’ needs when checking the web. This automatically changes the constant interaction and alliance [3]. More than half of the contents of the internet is being launched on websites that are basically Hyper Text Markup Language (HTML) webpages and conjunction with JavaScript and Cascading Style Sheet (CSS). The modern versions in html protocol and the browser stacks allow webpages to be seen on any device that runs browser software and with Internet connectivity. With the increase in technology and websites, various errors/mistakes are made with website design which has led to vulnerabilities and user dissatisfaction [16]. Most websites have a common set of anomalies, which includes but not limited to vulnerability, mobile incompatibility, lack of content, unclear target audience, bad navigation, broken links and long load time which is another annoying quality of a poorly designed webpages. Broken links (404s) and the problem of ascertaining a user’s position is another basic problem a user might face. It is clearly stated that there is useful information hidden or embedded in a link, but when that link is clicked or pressed upon, an error page displays instead of displaying the data wanted by the user. Unfortunately, broken links can stack up very quickly, which often time happens [2]. Uncompressed images contained in the websites also makes them to be digitally slow i.e., it takes forever to load and oftentimes people are impatient so they leave the site almost immediately. This paper highlights the major websites anomalies and formulates a conceptual framework that detects and analyses them. 1.1 Statement of the problem The World Wide Web over the past decade has grown exponentially in all facets. With this growth come vulnerabilities of websites, incompatibility with devices, lack of contents, etc. Website anomalies can cause breaches which often lead directly or indirectly to fraudulent activities such as stealing ones’ identity online, regulatory fines, destroyer of brands, heavy crimes against the law, downtime, virus breeding, and shortage of users. [9]. According to a white paper on security [13], 86% of websites have more than one severe vulnerability and the probability of information leakage is about 56%. Also, 30% of traffic and 15% of all sales that are generated online are done from mobile devices [9]. Thus, website abnormalities greatly affect users experience and functionality. A Conceptual Framework for Detecting and Analysing Website Performance Anomalies Alao O.D. 1 , Joshua J.V. 2 , Ajufo C. 3 , Onanuga G. A. 4 13 Babcock University, Department of Computer Science, Ilishan-Remo, Nigeria, jimialao@hotmail.com 2 Babcock University, Department of Software Engineering, Ilishan-Remo, Nigeria, joshuaj@babcock.edu.ng 4 Ogun State College of Health Technology, Department of Computer Science, Ilese, Nigeria, onanugagboyega@gmail.com Received Date : August 02, 2021 Accepted Date : August 25, 2021 Published Date : September 07, 2021 ISSN 2320 - 2602 Volume 10 No.9, September 2021 International Journal of Advances in Computer Science and Technology Available Online at http://www.warse.org/IJACST/static/pdf/file/ijacst011092021.pdf https://doi.org/10.30534/ijacst/2021/011092021