1 citations · 3 across the 9 of their papers we have counts for
10 papers
Monitoring Machine Learning Systems: A Multivocal Literature Review
Hira Naveed, Scott Barnett, Chetan Arora +3
Context: Dynamic production environments make it challenging to maintain reliable machine learning (ML) systems. Runtime issues, such as changes in data patterns or operating conte…
Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
Hira Naveed, John Grundy, Chetan Arora +2
Given the inherent non-deterministic nature of machine learning (ML) systems, their behavior in production environments can lead to unforeseen and potentially dangerous outcomes. F…
Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors
Shavindra Wickramathilaka, John Grundy, Kashumi Madampe +1
The global ageing population presents a growing societal challenge, creating an urgent need for inclusive technologies that promote autonomy among older adults. Software practition…
Accessibility Recommendations for Designing Better Mobile Application User Interfaces for Seniors
Shavindra Wickramathilaka, John Grundy, Kashumi Madampe +1
Seniors represent a growing user base for mobile applications; however, many apps fail to adequately address their accessibility challenges and usability preferences. To investigat…
Adaptive and Accessible User Interfaces for Seniors Through Model-Driven Engineering
Shavindra Wickramathilaka, John Grundy, Kashumi Madampe +1
The use of diverse mobile applications among senior users is becoming increasingly widespread. However, many of these apps contain accessibility problems that result in negative us…
Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
Zhen Tao, Shidong Pan, Zhenchang Xing +5
Privacy regulations mandate that developers must provide authentic and comprehensive privacy notices, e.g., privacy policies or labels, to inform users of their apps' privacy pract…
Interactive GDPR-Compliant Privacy Policy Generation for Software Applications
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Omar Haggag +1
Software applications are designed to assist users in conducting a wide range of tasks or interactions. They have become prevalent and play an integral part in people's lives in th…
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review
Hira Naveed, Chetan Arora, Hourieh Khalajzadeh +2
Context: Machine Learning (ML) has become widely adopted as a component in many modern software applications. Due to the large volumes of data available, organizations want to incr…
Identifying human values from goal models: An industrial case study
Tahira Iqbal, Kuldar Taveter, Tarmo Strenze +4
Human values are principles that guide human actions and behaviour in personal and social life. Ignoring human values during requirements engineering introduces a negative impact o…
COVID-19 vs Social Media Apps: Does Privacy Really Matter?
Omar Haggag, Sherif Haggag, John Grundy +1
Many people around the world are worried about using or even downloading COVID-19 contact tracing mobile apps. The main reported concerns are centered around privacy and ethical is…