Enhancing bug allocation in software development: a multi-criteria approach using fuzzy logic and evolutionary algorithms.

A bug tracking system (BTS) is a comprehensive data source for data-driven decision-making. Its various bug attributes can identify a BTS with ease. It results in unlabeled, fuzzy, and noisy bug reporting because some of these parameters, including severity and priority, are subjective and are instead chosen by the user's or developer's intuition rather than by adhering to a formal framework.

The rise in popularity of central bank digital currencies. A systematic review.

Central bank digital currencies (CBDCs) have been growing in popularity since 2018, as worldwide countries explore their impact and implementation options. This article analyzes the state of research around central bank digital currencies and the evolving landscape of CBDCs, and explores emerging areas of research and trends by using the PRISMA method and VOSviewer, with the goal of showing the main opportunities and challenges related to them. AMSTAR, DistillerSR, Eppi-Reviewer, ROBIS, and SRDR were the screening and quality evaluation tools employed for study eligibility criteria, design screening and content selection, text analysis data extraction, methodological quality predictors, and reliable and reproducible evidence assessment.

Study protocol for factors influencing the adoption of ChatGPT technology by startups: Perceptions and attitudes of entrepreneurs.

Background: Generative Artificial Intelligence (AI) technology, for instance Chat Generative Pre-trained Transformer (ChatGPT), is continuously evolving, and its userbase is growing. These technologies are now being experimented by the businesses to leverage their potential and minimise their risks in business operations. The continuous adoption of the emerging Generative AI technologies will help startups gain more and more experience with adoptions, helping them to leverage continuously evolving technological innovation landscape.

A novel value-based multi-criteria decision making approach to evaluate new technology adoption in SMEs.

The modern competition is moving quickly toward incorporating cutting-edge technological improvements to support Small and Medium Enterprises (SMEs) in enhancing their business models. Making decisions regarding implementing new technologies in SMEs is a challenging process driven by the continuous new advances in the technology industry. Important operational process decisions, such as organizational investment costs, technology acquisition, maintenance, customer experience, employee training for the proper use of each technology, reliability requirements, and security needs, must be made very carefully for such adoptions.