JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS <p align="center"><strong>ISSN: 2394-7292</strong></p> <p align="center"><strong>Scientific Journal Impact Factor (SJIF):</strong> 6.062</p> <p align="center"><strong>Index Copernicus </strong>(<a href="">ICV: 53.42</a>)</p> <p><strong>Journal DOI no</strong>.: 10.37591/JoSETTT</p> STM JOURNALS ( Consortium eLearning Network Pvt Ltd) en-US JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2394-7292 Current Trends in Secure Software Engineering: Novel Perspectives <p><em>The security-focused approach in software engineering emphasizes the essential incorporation of security measures throughout the entire software development lifecycle. In an era marked by escalating cyber-threats and data breaches, this paper delineates novel perspectives and principles to fortify software systems against evolving adversarial landscapes. Motivated by the need to protect sensitive data, prevent financial losses, and adhere to stringent regulatory frameworks, the paper advocates for a proactive stance in software security. The principles outlined encompass threat modeling during the design phase, implementing the principle of least privilege, embracing defense in depth, and adhering to secure coding standards. With a focus on securing user authentication, robust data encryption, and meticulous input validation, the paper underscores the importance of a comprehensive security-oriented approach. The significance of continuous monitoring, incident response planning, and user education is also emphasized to bolster the overall security posture. By discussing these principles and practices, this paper serves as a comprehensive guide for software developers, architects, and stakeholders seeking to integrate robust security measures seamlessly into their software engineering endeavors. The novel perspectives presented herein aim to inspire a paradigm shift in the way security is conceptualized and integrated throughout the software development lifecycle.</em></p> Dwarampudi Aiswarya Manas Kumar Yogi Copyright (c) 2023 JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2024-01-24 2024-01-24 10 3 39 44 Empowering Banking Operations Through Excel Innovations for Data Precision and Security <p><em>Excel plays a pivotal role in the banking sector due to its unparalleled versatility and robust data processing capabilities. It serves as a fundamental tool for handling complex financial calculations, data management, risk assessment, and generating comprehensive reports. Its ability to organize, analyze, and visualize vast volumes of financial information empowers banking professionals to make informed decisions crucial for managing investments, determining lending strategies, and optimizing financial portfolios. Excel's adaptability and proficiency in financial modeling, analysis, and reporting make it an indispensable asset in ensuring the effectiveness and success of banking operations. The research paper delves into Excel's pivotal role in the banking sector, highlighting its versatile functions vital for robust data management and analysis. Excel's capability to handle vast financial information, perform complex calculations, and generate comprehensive reports stands as a cornerstone in banking operations. This paper discusses the significance of Visual Basic for Applications (VBA) and macros in Excel, detailing how these tools empower automation and customization, enhancing Excel's capabilities beyond basic functionalities. Moreover, the paper outlines specific enhancements desired in Excel's functionality for security and number formatting in the banking domain. It proposes a model using VBA procedures to address these issues, incorporating functionalities such as importing numbers with leading zeros and hiding/unhiding worksheets with user-supplied passwords. The experimental results showcase step-by-step procedures, VBA implementation, and validations for the proposed enhancements. The research aims to improve Excel's efficiency and usability in banking operations, offering solutions to streamline processes and ensure data accuracy.</em></p> Poornima G. Naik Girish R. Naik Copyright (c) 2023 JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2024-01-11 2024-01-11 10 3 15 38 Revolutionizing Software Engineering: Harnessing AI-driven Continuous Integration for Seamless Collaboration and Rapid Development <p><em>In the dynamic landscape of software engineering, this paper introduces a revolutionary approach by integrating artificial intelligence (AI) into continuous integration processes. The research aims to redefine software development methodologies, leveraging AI-driven continuous integration (AI-CI) to enhance collaboration among development teams and accelerate software development cycles. The comprehensive study delves into the theoretical foundations and practical implications of AI-CI. The integration involves infusing AI algorithms into the continuous integration pipeline, providing intelligence, adaptability, and efficiency throughout the development lifecycle. Real-time case studies and experiments demonstrate AI-CI's impact on collaboration dynamics, reducing response times in code reviews, streamlining issue resolution, and fostering efficient knowledge-sharing. Moreover, the research highlights the substantial acceleration of software development cycles through predictive deployment models empowered by AI. Reduced deployment times, optimized resource allocation efficiency, and overall cycle acceleration signify a shift towards agile and responsive software development practices. Validation through real-time case studies and experiments reinforces the effectiveness of AI-CI in controlled environments, paving the way for real-world applications. This paper envisions a future where AI becomes integral to software engineering, guiding the community towards unexplored territories of efficiency and excellence. As the industry navigates this transformative journey, the integration of AI into continuous integration stands as a testament to its commitment to innovation and adaptability. The paper acts as a trailblazer, illuminating a path where the synergy between human and artificial intelligence propels software engineering towards unparalleled innovation.</em></p> Ushaa Eswaran Vivek Eswaran Keerthna Murali Vishal Eswaran Copyright (c) 2023 JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2024-01-29 2024-01-29 10 3 45 60 Deep Learning-Based Sentiment Analysis of Twitter COVID-19 Vaccination Responses <p><em>The COVID-19 pandemic has caused significant fear, anxiety, and complex emotions or feelings in a large number of people. A global vaccination campaign to end the SARS-CoV-2 epidemic is now in progress. People's feelings have become more complex and varied since the introduction of vaccinations against the coronavirus. The use of social media platforms such as X (formally known as Twitter) enables users to communicate with one another and share information and perspectives on a wide variety of topics, spanning from local to international concerns, from global to personal.Twitter will prove to be a helpful source of information that can be tracked regarding views and sentiments regarding the SARS-CoV-2 vaccination. This study employs deep learning techniques to discern prevalent themes and sentiments within public discourse on Twitter concerning COVID-19 immunization. The goal is to gain a comprehensive understanding of public views, concerns, and emotions that could impact the attainment of herd immunity targets and mitigate the pandemic's effects. Moreover, this paper consists of a detailed explanation of the sentiment analysis with their challenges, classification, approaches, applications, and VADER (Valence Aware Dictionary and Sentiment Reasoner).</em></p> Mukul Sanodiya Sadhna K. Mishra Copyright (c) 2023 JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2024-01-11 2024-01-11 10 3 1 14 An Overview, Changes, and Uses of the Novel Social Spider Optimization Algorithm <p><em>The rising complexity of real-world problems has prompted researchers and computer scientists to look for more effective ways to solve difficulties. Generally inspired by nature, bioinspired metaheuristics based on swarm intelligence algorithms and evolutionary computation have been widely employed to solve complicated, real-world optimization problems because of their adaptability to a broad variety of factors. The social spider optimization (SSO) approach is introduced in this article as a swarm-based algorithm, drawing inspiration from the cooperative behaviors exhibited by social spiders. Search agents in SSO describe a group of spiders that collectively move in accordance with a biological behavior in the colony. Many changes have been made to the SSO algorithm in the years since it was first introduced, improving its performance and enabling its use in other sectors. The developments and uses of the SSO are reviewed in this study.</em></p> B.M. Rajesh Aakash A. Agustin Joseph I. Copyright (c) 2023 JOURNAL OF SOFTWARE ENGINEERING TOOLS & TECHNOLOGY TRENDS 2024-01-29 2024-01-29 10 3 61 71