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20172025
most citedTowards Understanding and Detecting Fake Reviews in App Stores

137 citations · 310 across the 30 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.SE2019

OpenReq Issue Link Map: A Tool to Visualize Issue Links in Jira

Clara Marie Lüders, Mikko Raatikainen, Joaquim Motger +1

Managing software projects gets more and more complicated with an increasing project and product size. To cope with this complexity, many organizations use issue tracking systems,…

cs.SE2019

Requirements Intelligence with OpenReq Analytics

Christoph Stanik, Walid Maalej

With the rise of social media like Twitter and distribution platforms like app stores, users have various ways to express their opinions about software products. Popular software v…

cs.CL2019

Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning

Christoph Stanik, Marlo Haering, Walid Maalej

With the rise of social media like Twitter and of software distribution platforms like app stores, users got various ways to express their opinion about software products. Popular…

cs.SE2019

Extracting and Analyzing Context Information in User-Support Conversations on Twitter

Daniel Martens, Walid Maalej

While many apps include built-in options to report bugs or request features, users still provide an increasing amount of feedback via social media, like Twitter. Compared to tradit…

cs.SE2019★ 22 cited

On Using Machine Learning to Identify Knowledge in API Reference Documentation

Davide Fucci, Alireza Mollaalizadehbahnemiri, Walid Maalej

Using API reference documentation like JavaDoc is an integral part of software development. Previous research introduced a grounded taxonomy that organizes API documentation knowle…

cs.SE2019

Release early, release often, and watch your users' emotions

Daniel Martens, Walid Maalej

App stores are highly competitive markets, sometimes offering dozens of apps for a single use case. Unexpected app changes such as a feature removal might incite even loyal users t…

cs.IR2019★ 137 cited

Towards Understanding and Detecting Fake Reviews in App Stores

Daniel Martens, Walid Maalej

App stores include an increasing amount of user feedback in form of app ratings and reviews. Research and recently also tool vendors have proposed analytics and data mining solutio…