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One in 20 Programmers on Open-Source Software Projects are Women, Says Idaho State University Study - Vimarsana News

One in 20 Programmers on Open-Source Software Projects are Women, Says Idaho State University Study

One in 20 Programmers on Open-Source Software Projects are Women, Says Idaho State University Study

Source: isu.edu
"A taxonomy for mining and classifying privacy requirements in issue re" by Pattaraporn Sangaroonsilp, Hoa Khanh Dam et al. - Vimarsana News

"A taxonomy for mining and classifying privacy requirements in issue re" by Pattaraporn Sangaroonsilp, Hoa Khanh Dam et al.

Context: Digital and physical trails of user activities are collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy has become challenging. With the increase of user privacy awareness and advent of privacy regulations and policies, there is an emerging need to implement software systems that enhance the protection of personal data processing. However, existing data protection and privacy regulations provide key principles in high-level, making it difficult for software engineers to design and implement privacy-aware systems. Objectiv...

Source: uow.edu.au
Top software engineering researchers descend on Limerick for hackathon - Vimarsana News

Top software engineering researchers descend on Limerick for hackathon

SOME of the world’s top software engineering researchers descended on Limerick city at weekend for the World of Code Hackathon. The event was hosted ...

Unglitching the system: Advancement in predicting software vulnerabilities - Vimarsana News

Unglitching the system: Advancement in predicting software vulnerabilities

New research from Monash University presents the most effective approach to accurately predict vulnerabilities in software code and strengthen cybersecurity.Software vulnerabilities are prevalent across all systems that are built using source codes,

"Automatically recommending components for issue reports using deep lea" by Morakot Choetkiertikul, Hoa Khanh Dam et al. - Vimarsana News

"Automatically recommending components for issue reports using deep lea" by Morakot Choetkiertikul, Hoa Khanh Dam et al.

Abstract Today’s software development is typically driven by incremental changes made to software to implement a new functionality, fix a bug, or improve its performance and security. Each change request is often described as an issue. Recent studies suggest that a set of components (e.g., software modules) relevant to the resolution of an issue is one of the most important information provided with the issue that software engineers often rely on. However, assigning an issue to the correct component(s) is challenging, especially for large-scale projects which have up to hundreds of componen...

Source: uow.edu.au