Invited Talk: Smart Development of Mobile Apps with Deep Learning
Mobile apps now have become the most popular way of accessing the Internet as well as performing daily tasks, e.g., reading, shopping, banking and chatting. Different from traditional desktop applications, mobile apps are typically developed under time-to-market pressure and facing severe competitions. Therefore, for app developers and companies, it is crucial to accelerate the app development process. Towards this target, we are leveraging the large-scale mobile apps as the big data and data-driven methods like deep learning, program analysis to automate some app development process. In this talk, I will introduce some of my latest research works in automated software engineering within the app development cycle including extracting storyboard from apps for requirement engineering, constructing UI design gallery, converting UI design into code automatically, mobile app GUI animation testing, and accessibility testing.
I am a lecturer (a.k.a Assistant Professor) at Monash University. My primary research interests are in Software Engineering, Applied Data Analysis, Deep Learning, and Human-Computer Interaction. I am especially concerned with applying data analysis to automated software development and mining software repositories.