In this page you can find information about UCLappA members.
Prof. Mark Harman
Mark Harman is professor of Software Engineering in the Department of Computer Science at University College London where he directs the CREST centre. He is widely known for work on source code analysis and testing and was instrumental in the founding of the field of Search Based Software Engineering (SBSE), the topic of this paper. Since its inception in 2001, SBSE has rapidly grown to include over 1000 authors, from 300 institutions spread over 40 countries.
E-mail: mark.harman (at) ucl.ac.uk
Dr. Yue Jia
Yue Jia is a Lecturer at UCL, working in CREST Centre Centre, Department of Computer Science, University College London, UK. His research interests are in Software Testing, Clone detection and Mining Software Repositories. He is also managing the CREST Open Workshop.
E-mail: Y.Jia (at) cs.ucl.ac.uk
Dr. Federica Sarro (Head of the Group)
Federica Sarro is an Associate Professor (Senior Lecturer) at the Department of Computer Science, University College London. Her main research areas are Empirical Software Engineering and Search-Based Software Engineering, with specific interest for software project management, cost/effort estimation and fault prediction. She also has been working on functional metrics for sizing software products and human-computer interaction. Her recent research interests include mobile app store analysis and automatic program repair.
E-mail: f.sarro (at) ucl.ac.uk
Dr. Yuanyuan Zhang
Yuanyuan Zhang is a Senior Research Associate, working in CREST Centre Centre, Department of Computer Science, University College London, UK. Her research interests are in Requirement Engineering, especially the use of meta-heuristic search for Next Release Problem and fairness analysis.
E-mail: Yuanyuan.Zhang (at) cs.ucl.ac.uk
Afnan A. AlSubaihin
Afnan AlSubaihin is a PhD student at the Centre for Research on Evolution, Search and Testing (CREST), the Systems Software Engineering Group (SSE), at University College London. Her PhD research involves observing, describing and ultimately predicting the behaviour of application features in app stores and the relationship between these features and other application attributes such as its category, price and rating.
William Martin is a full-time PhD candidate in the Department of Computer Science at University College London, co-supervised by Prof. Mark Harman, Dr. Yue Jia, and Dr. Federica Sarro. William received his masters degree in Computer Science from University College London. His research interests include machine learning and unsupervised text classification, and his current research is centred on app and app store analysis.
E-mail: W.Martin (at) ucl.ac.uk