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Prof. Maalej gave an invited talk on „Mining User Reviews in the App Store“ as a part of The 36th CREST Open Workshop (COW36) at the University College London.
The topic of the workshop was App Store Mining. App stores provide a rich source of information for software engineering research, including technical information such as the app binaries, releases and updates as well as business information such as customer reviews, pricing, and popularity. This workshop will bring together software engineering researchers from all over the world to discuss and develop the emerging research agenda in App Store Analysis.
Internationally recognized researchers researchers in the field participated in the workshop including Prof. Andreas Zeller, Prof. Hark Harmann, Prof. Ahmad Hassan, and others. From MOBIS, Christoph Stanik also attended the workshop and participated in the discussions. The agenda and the complete list of attendants is available on the workshop website.
The workshop is part of the CREST Open Workshop (COW) program, which started in 2009 and has so far attracted 548 different attendees from 218 different institutions spread over 42 countries. An archive of talks including slides and videos will be available on the workshop website soon. The workshop was also accompanied by a live blogging by Dr Black.
- COW36 website
- Live blog
- RE’14 paper: How Do Users Like this Feature? A Fine Grained Sentiment Analysis of App Review
- RE’13 paper: User Feedback in the AppStore: An Empirical Study
The annual EXPO of the Department of Informatics at University Hamburg is an exhibition of student projects including Bachelor-, Master- and Diploma theses. This year our student Maximilian Lazar was honored for his Master thesis “Mobile Analytics: Collecting and Understanding App Usage Data” supervised by Prof. Dr. Walid Maalej. The research aimed to answer the question on how to collect raw mobile data and transform it into meaningful and useful information to improve mobile apps. The project also aimed to study how organizations and software vendors can use mobile analytics. Maximilian Lazar developed for his thesis a Mobile Analytics system called MARLA. MARLA tracks in-application usage data and provides on a reporting web server three Analytics scopes: Session Analytics, Feature Analytics, and Review Analytics.
MOBIS member and doctoral student Timo Johann receives a Ph.D. scholarship from the Friedrich Ebert Foundation. Timo’s research interests include social software engineering, user involvement, and green computing.
Besides a financial support, the scholarship includes the participation in workshops, seminars, as well as an international network on scientific and political issues. The Friedrich Ebert Foundation is financially funded and subsidized by the Federal Ministry of Education and Research and supports students with outstanding academical and political achievements. Its main goals are to promote political and societal education of people from all walks of life in the spirit of democracy and pluralism, to enable young people the opportunity to study and do research through grants, and to work toward international understanding and cooperation.