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Artificial Intelligence in Software Engineering

Submission deadline: 2024-10-06
Section Editors

Section Collection Information

Dear colleagues,

AI is changing various aspects of software engineering, from automating routine tasks to enhancing code quality, security, and productivity. It has the potential to revolutionize the way software is developed, making the process more efficient, reliable, and accessible to a broader range of individuals, including those with limited coding experience.

 

AI has a significant impact on the field of software engineering. It is revolutionizing the way software is developed, tested, and maintained. There are some key aspects of AI in software engineering:

 

1) Requirements Analysis

2) Automated Code Generation.

3) Bug Detection and Debugging

4) Code Review and Quality Assurance

5) Test Automation

6) Code Maintenance

7) Predictive Analytics

 

Solid unpublished research papers on the abovementioned topics and relevant topics are collected for the section collection of Artificial Intelligence in Software Engineering. The submission of the papers will start right now with its deadline on August 31, 2024.

Submissions from software engineers, researchers, and faculty members in the field of software engineering are extremely welcome.


Keywords

AI, Requirements Analysis, Code Generation, Debugging, Test Automation

Published Paper

Early diseases diagnosis in body fluids (serum and saliva) using infrared spectroscopy

Andrei A. Bunaciu;Hassan Y. Aboul-Enein;
Infrared spectroscopy it is becoming more and more useful in the field of biomedical research. Infrared spectroscopy has been used more and more to characterize biological matrixes, providing a simple way to obtain diagnostic and observational information from easily acquired samples. These tests are performed in order to monitor the changes, and in this way to characterize the biological matrix, with the aim of detecting the first signs that can diagnose a disease. Vibrational spectroscopy analysis of biological fluids has become more and more popular recently. Notably, the development of infrared spectroscopic screening of blood products, particularly blood serum and saliva, for illness diagnosis has attracted economic attention. This review examines some applications of the infrared spectroscopy method that was employed to examine human serum in order to detect disease at an early stage, published between 2017 and 2022.

Microplastics as an emerging threat to human health: Challenges and advancements in their detection

Bibhawari Singh;Geetima Srivastava;Deepak Kala;Maheepinder Gill;Ankur Kaushal;Shagun Gupta;
Microplastic pollution has emerged as a significant environmental concern, with potential direct and indirect impacts on ecosystems. Microplastics are pervasive, found in water, food, and even the air we breathe. While their influence on human health is still unclear, microplastics are known to possess endocrine-disrupting properties and can accumulate persistent organic pollutants. Accurate measurement and categorization of microplastics are crucial to understanding their prevalence and impact on contamination. Fortunately, there are several methods available, such as visual analysis, fluorescence techniques, vibrational spectroscopy, and electron microscopy, that offer optimal accuracy in detecting and quantifying microplastics. The increasing presence of microplastics in the food chain has prompted global research efforts to assess potential risks to human health. However, despite ongoing advancements, challenges remain in standardizing analytical procedures and developing methods capable of detecting microplastics as small as nanometers. Visual classification-based methods, though limited in detecting smaller microplastics, show promise for improvement through integration with advanced technologies. This study primarily focuses on microplastic sampling strategies, detection methods, and their respective advantages and disadvantages, shedding light on the advancements and challenges in the field.






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