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Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews
Mobile app reviews by users contain a wealth of information on the issues that users are
experiencing. For example, a review might contain a feature request, a bug report, and/or a …
experiencing. For example, a review might contain a feature request, a bug report, and/or a …
A survey of performance optimization for mobile applications
To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …
highly performant applications. This is particularly important for resource-constrained …
Software documentation: the practitioners' perspective
In theory,(good) documentation is an invaluable asset to any software project, as it helps
stakeholders to use, understand, maintain, and evolve a system. In practice, however …
stakeholders to use, understand, maintain, and evolve a system. In practice, however …
Taming android fragmentation: Characterizing and detecting compatibility issues for android apps
Android ecosystem is heavily fragmented. The numerous combinations of different device
models and operating system versions make it impossible for Android app developers to …
models and operating system versions make it impossible for Android app developers to …
A survey on the use of topic models when mining software repositories
Researchers in software engineering have attempted to improve software development by
mining and analyzing software repositories. Since the majority of the software engineering …
mining and analyzing software repositories. Since the majority of the software engineering …
Cid: Automating the detection of api-related compatibility issues in android apps
The Android Application Programming Interface provides the necessary building blocks for
app developers to harness the functionalities of the Android devices, including for interacting …
app developers to harness the functionalities of the Android devices, including for interacting …
Collection and processing of data from wrist wearable devices in heterogeneous and multiple-user scenarios
Over recent years, we have witnessed the development of mobile and wearable
technologies to collect data from human vital signs and activities. Nowadays, wrist …
technologies to collect data from human vital signs and activities. Nowadays, wrist …
Latent Dirichlet allocation: extracting topics from software engineering data
Topic analysis is a powerful tool that extracts “topics” from document collections. Unlike
manual tagging, which is effort intensive and requires expertise in the documents' subject …
manual tagging, which is effort intensive and requires expertise in the documents' subject …
Continuous, evolutionary and large-scale: A new perspective for automated mobile app testing
Mobile app development involves a unique set of challenges including device fragmentation
and rapidly evolving platforms, making testing a difficult task. The design space for a …
and rapidly evolving platforms, making testing a difficult task. The design space for a …
AdMat: A CNN-on-matrix approach to Android malware detection and classification
The availability of big data and affordable hardware have enabled the applications of deep
learning on different tasks. With respect to security, several attempts have been made to …
learning on different tasks. With respect to security, several attempts have been made to …