On the Spread of Viruses on the Internet

We analyze the contact process on random graphs generated according to the preferential attachment scheme as a model for the spread of viruses in the Internet. We show that any virus with a positive rate of spread from a node to its neighbors has a non-vanishing chance of becoming epidemic. Quantitatively, we discover an interesting dichotomy: for it virus with effective spread rate λ, if the infection starts at a typical vertex, then it develops into an epidemic with probability λ^Θ ((log (1/ λ)/log log (1/ λ))), but on average the epidemic probability is λ^(Θ (1))

Archeota, Spring 2018

https://scholarworks.sjsu.edu/saasc_archeota/1007/thumbnail.jp

Understanding Occupational and Skill Demand in New Jersey's Construction Industry

The construction industry is integral to New Jersey's economy, employing over 160,000 people. Nationally and in New Jersey, the construction industry is thriving, injecting billions of dollars into the state. Jobs in the industry are changing with an influx of new technology and new building materials, requiring that workers have more technical expertise than in the past. This report summarizes the skill, knowledge, and educational requirements of key construction occupations and identifies strategies for meeting the key workforce challenges facing the industry

Investigating ChatGPT's Potential to Assist in Requirements Elicitation Processes

Natural Language Processing (NLP) for Requirements Engineering (RE) (NLP4RE) seeks to apply NLP tools, techniques, and resources to the RE process to increase the quality of the requirements. There is little research involving the utilization of Generative AI-based NLP tools and techniques for requirements elicitation. In recent times, Large Language Models (LLM) like ChatGPT have gained significant recognition due to their notably improved performance in NLP tasks. To explore the potential of ChatGPT to assist in requirements elicitation processes, we formulated six questions to elicit requirements using ChatGPT. Using the same six questions, we conducted interview-based surveys with five RE experts from academia and industry and collected 30 responses containing requirements. The quality of these 36 responses (human-formulated + ChatGPT-generated) was evaluated over seven different requirements quality attributes by another five RE experts through a second round of interview-based surveys. In comparing the quality of requirements generated by ChatGPT with those formulated by human experts, we found that ChatGPT-generated requirements are highly Abstract, Atomic, Consistent, Correct, and Understandable. Based on these results, we present the most pressing issues related to LLMs and what future research should focus on to leverage the emergent behaviour of LLMs more effectively in natural language-based RE activities.Comment: Accepted at SEAA 2023. 8 pages, 5 figure

Understanding Occupational and Skill Demand in New Jersey's Health Care Industry

The health care industry in New Jersey employs almost 350,000 people. However, state, national, and international shortages of nurses is raising widespread concern in the industry. Jobs in the industry are changing in response to pressures to control costs and the demands of an increasingly consolidated industry. This report summarizes the skill, knowledge, and educational requirements of key health care occupations and identifies strategies for meeting the workforce challenges facing the industry