This article provides a comprehensive survey of bias mitigation methods for achieving
fairness in Machine Learning (ML) models. We collect a total of 341 publications concerning …

We present an integrative review of existing marketing research on mobile apps, clarifying
and expanding what is known around how apps shape customer experiences and value …

This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Using Web APIs registered in service sharing communities for mobile APP development can
not only reduce development period and cost, but also fully reuse state-of-the-art research …

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …

App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

Automated testing of Android apps is essential for app users, app developers, and market
maintainer communities alike. Given the widespread adoption of Android and the …

As mobile devices have overtaken fixed Internet access, mobile applications and distribution
platforms have gained in importance. App stores enable users to search for, purchase and …

Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …