International Journal of Software Computing and Testing
Volume 9, Issue 2 (2023)
Published
Table of contents
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling Software
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article