https://www.i-scholar.in/index.php/IJCSIT/issue/feed AIRCC's International Journal of Computer Science and Information Technology 2024-02-14T12:07:07+00:00 Prof. Jan Zizka ijcsit@airccse.org Open Journal Systems The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. https://www.i-scholar.in/index.php/IJCSIT/article/view/224373 An Adaptive Network-Based Approach for Advanced Forecasting Of Crypto Currency Values 2024-02-10T07:51:00+00:00 Ali Mehrban Pegah Ahadian This paper describes an architecture for predicting the price of cryptocurrencies for the next seven days using the Adaptive Network Based Fuzzy Inference System (ANFIS). Historical data of cryptocurrencies and indexes that are considered are Bitcoin (BTC), Ethereum (ETH), Bitcoin Dominance (BTC.D), and Ethereum Dominance (ETH.D) in a daily timeframe. The methods used to teach the data are hybrid and backpropagation algorithms, as well as grid partition, subtractive clustering, and Fuzzy C-means clustering (FCM) algorithms, which are used in data clustering. The architectural performance designed in this paper has been compared with different inputs and neural network models in terms of statistical evaluation criteria. Finally, the proposed method can predict the price of digital currencies in a short time. 2023-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/IJCSIT/article/view/224383 Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques 2024-02-10T07:51:00+00:00 Omar Shatnawi In the software industry, two software engineering development best practices coexist: open-source and closed-source software. The former has a shared code that anyone can contribute, whereas the latter has a proprietary code that only the owner can access. Software reliability is crucial in the industry when a new product or update is released. Applying meta-heuristic optimization algorithms for closed-source software reliability prediction has produced significant and accurate results. Now, open-source software dominates the landscape of cloud-based systems. Therefore, providing results on open- source software reliability - as a quality indicator - would greatly help solve the open-source software reliability growth- modelling problem. The reliability is predicted by estimating the parameters of the software reliability models. As software reliability models are inherently nonlinear, traditional approaches make estimating the appropriate parameters difficult and ineffective. Consequently, software reliability models necessitate a high- quality parameter estimation technique. These objectives dictate the exploration of potential applications of meta- heuristic swarm intelligence optimization algorithms for optimizing the parameter estimation of nonhomogeneous Poisson process-based open-source software reliability modelling. The optimization algorithms are firefly, social spider, artificial bee colony, grey wolf, particle swarm, moth flame, and whale. The applicability and performance evaluation of the optimization modelling approach is demonstrated through two real open-source software reliability datasets. The results are promising. 2023-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/IJCSIT/article/view/224384 The Alignment Between International and National Academic Accreditations - An Application in Information Systems Bachelor Program at Kingdom of Saudi Arabia 2024-02-14T12:07:07+00:00 Rania A. Aboalela This study proposes a method for consolidating various program accreditations into a unified accreditation process for a single academic program. The primary challenge lies in harmonizing the diverse requirements of multiple accreditations. In the context of academic technology programs in Saudi Arabia, this research focuses on the integration of NCAAA and ABET accreditations, with a specific application to the Information Systems at King Abdulaziz university. The core methodology employed in this study involves applying Bloom's taxonomy of learning to identify the synergies between the accreditation criteria of ABET and NCAAA. To ascertain the alignment of learning outcome measurement based on both accreditations, a questionnaire was administered to faculty members within the College of Computer Science and Information Technology at renowned universities in the Kingdom of Saudi Arabia. This article is intended for researchers specializing in the quality of education in computing and engineering, as well as professionals, developers, and officials with an interest in academic accreditations. Furthermore, this research seeks to establish a foundation for the seamless dissemination of educational content through websites and digital applications, adhering to the standards and principles of academic accreditation. 2023-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/IJCSIT/article/view/224385 Revealing the Foundations: The Strategic Influence of Test Design in Automation 2024-02-10T07:51:00+00:00 Rohit Khankhoje In the ever-changing field of software testing and automation, this study brings attention to the frequently underestimated yet crucial role of test design. By highlighting its significant influence on the success of automation initiatives, this investigation aims to reveal the fundamental principles that serve as the basis of effective testing strategies. Going beyond the surface, the study explores the complexities of test design, uncovering its strategic impact on optimizing the creation of test cases, enhancing test coverage, and ultimately improving the efficiency and dependability of automated testing processes. Through the use of real-life examples and practical insights, this study strives to elucidate the methods by which professionals can harness the strategic potential of test design, leading to a shift in the way automation is understood and implemented. As we delve into the various layers of this foundational element, a deeper comprehension emerges, empowering testing experts to strategically employ test design for comprehensive and influential automation endeavors. 2023-12-01T00:00:00+00:00