Software reusability encourages developers to heavily rely on a variety of third-party libraries and packages, resulting in dependent software products. Often ignored by developers due to the risk of breakage but dependent software have to adopt security and performance updates in their external dependencies. Existing work advocates a shift towards Automatic updation of dependent software code to implement update dependencies. Emerging automatic dependency management tools notify the availability of new updates, detect their impacts on dependent software and identify potential breakages or other vulnerabilities. However, support for automatic source code refactoring to fix potential breaking changes (to the best of my current knowledge) is missing from these tools. This paper presents a prototyping tool, DepRefactor, that assist in the programmed refactoring of software code caused by automatic updating of their dependencies. To measure the accuracy and effectiveness of DepRefactor, we test it on various students project developed in C#.

This study scrutinizes the role of AI literacy and ChatGPT-3 in enhancing critical reasoning and journalistic writing competencies among 50 third-term journalism students at Tajik National University. Given the escalating relevance of AI across sectors, including journalism, we aim to highlight the potential advantages of incorporating AI utilities in journalism pedagogy. We utilized a mixed- methods approach, comprising both quantitative and qualitative data collection techniques, for a comprehensive examination of the influence of AI literacy and ChatGPT-3 on student skill development.We gathered insights via surveys and interviews, revealing the impact of AI on learning outcomes. Our findings suggest a significant improvement in students' critical thinking and journalistic writing skills
with ChatGPT-3 usage. The integration of AI tools in the classroom encourages in-depth analysis and collaboration, thereby enhancing students' writing skills. The results underline the importance of AI literacy in journalism education, preparing students for the rapidly transforming, AI-centric journalism industry.

The study aims to explore the impact of ChatGPT on the writing skills of undergraduate students. This is a qualitative study in which 24 randomly selected students from two private sector universities in Karachi were interviewed and analyzed. The sample size was small but diversified, which was comprised of male and female BS (final year) students from humanities and sciences backgrounds.The data was classified into four categories to show different levels of responses from positive to negative. The result showed a mixed trend in which the majority of students were of the opinion that ChatGPT hinders creative writing, whereas the other group, was of the opinion that it is beneficial if used but under proper supervision / controlled conditions. The responses seem quite reasonable because ChatGPT is still in its infancy stage and may take some time to fully understand its technical aspects. However, more in-depth studies are required for its effective application in different academic areas.

This research paper presents an insightful investigation into the perceptions and ethical considerations of students regarding the use of Artificial Intelligence (AI) tools in academia, particularly focusing on the University of Limerick in Ireland. Herein, AI tools like OpenAI's ChatGPT have emerged as valuable assets in promoting interactive learning and enhancing student engagement. Thus, this research aimed to explore the privacy and ethical considerations students have regarding the use of AI tools in education. Using a quantitative methodological approach, the study solicited the attitudes, opinions, and patterns of students towards AI utilities. The study revealed intriguing perspectives on data privacy concerns associated with AI tools. Students from technology and science-focused schools displayed a higher degree of concern, suggesting their deeper understanding of potential privacy implications. Conversely, students from arts, humanities, and social sciences, and law politics & public administration displayed slightly lower levels of concern.

The objective of this paper is to investigate the impact of artificial intelligence (AI) on employee performance and work commitment within the workplace, while also acknowledging its limitations. The study employs a qualitative research approach and utilizes a simple random sampling method. Data collection is conducted through online questionnaires using Google Forms. The majority of the respondents (91.8%) fall within the age range of 20-30 years, with a total of 100 participants consisting of 58% females and 42% males. The findings reveal that AI can positively influence employee performance and work engagement. AI refers to the use of computers to simulate intelligent behavior with minimal human intervention. However, there are concerns raised by academics regarding potential job losses and an increase in unemployment rates due to AI. Consequently, this may pose challenges in terms of infrastructure reconstruction, ensuring vehicle safety, and adapting laws and regulations.

Unmanned vehicles are simplest one of the many regions in which artificial intelligence (AI) is poised to end up a game-changing technological development. Artificial intelligence (AI) algorithms are being incorporated into unmanned cars, along with self-riding automobiles and drones, to enhance their vision, navigation, and decision-making talents. The in-depth analysis of AI's results on autonomy, safety, performance, and societal ramifications is supplied in this paper on unmanned vehicles. This paper provides an overview of the modern-day standing of AI-enabled unmanned vehicles and shows destiny routes for studies and development in this quickly developing issue via a synthesis of current literature, case research, and technological breakthroughs.

Time series analysis and decomposition are crucial in examining economic data as they uncover elements such as trends, and seasonal influences, within the data. However, some approaches have difficulty in accommodating complex, high-dimensional data. In this research, we investigate the possibilities of utilizing artificial intelligence (AI) tools, specifically, machine learning (ML) and deep learning (DL) for better timeliness and accuracy of economic forecasting. In some instances, it was shown how recent AI models can improve the data analysis of economic indicators (GDP, inflation, stock indices) through the accurate depiction of non-linear trends and changing seasonals. Model enhancements using AI also result in significant improvement in the accuracy of economic forecasts and provide more detailed and useful time series decomposition for economists and policymakers. This paper is a step towards more extensive use of artificial intelligence in econometric analysis and provides evidence on the feasibility of such in practical econometric studies.

This study was conducted to explore the role of Artificial Intelligence in enhancing the teachers' competencies. This was a theoretical study in nature conducted while using the secondary data collected from the available books, journals, and dissertations. The results revealed that AI has great potential to enhance teachers' competencies while helping them design relevant educational content aligned with learning objectives and providing feedback on their instructional strategies and practices. It also allowed to automate the student attendance and grading on the teacher's side. It will also assist the teachers in selecting suitable strategies and teaching aids for aiding a wide variety of students including those with special needs. Yet, it is also important to underscore that AI ought to act in support of  and not replace with machine algorithms infallible virtues inherent to human education: sympathy; a creative spark; and the ability to individually adapt for each student.

Artificial intelligence(AI) is a well and indeed done deal, and now the AI economy is not only keeping itself alive but also being regarded as a force for transformation to transform fighting and its prediction and prevention into a global endeavor. Since it can use the power of massive data sources and machine learning and pattern recognition algorithms, AI systems can detect and warn of early signs of conflict so that decision-makers can get a head start. Much more specifically, an emphasis on data can amplify bias or produce incorrect predictions, undermining the trust in the results that AI promises to provide. There are significant ethical, political, and technical challenges to integrating AI into peacekeeping frameworks that need to be carefully walked along to use AI responsibly. It is this paper that studies those dimensions and looks to the future to analyze how AI might be distributed in conflict management.

The emerging US-China rivalry over Artificial Intelligence (AI) and cutting-edge technologies has become a fundamental aspect of contemporary global politics. This research explores how the mission for technological dominance between these two major powers is redesigning the geopolitical landscape, transforming long-standing coalitions, and introducing new frontiers of competition such as innovation, data manipulation, and semiconductor supply chains. The research explores critical developments such as the rise of strategic tech-driven coalitions like QUAD and AUKUS in setting global narratives around AI governance. This research applies the theoretical lens of Defensive Realism, which argues that states act to preserve their security in an anarchic international system by countering potential threats. This qualitative study examines how AI leadership and control over innovative technologies are becoming strategic instruments in the restructuring of geopolitical power dynamics.