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2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) (2018)
Campobasso, Italy
March 20, 2018 to March 23, 2018
ISBN: 978-1-5386-4970-1
pp: 522-526
Lucas Pelloni , University of Zurich, Department of Informatics, Switzerland
Giovanni Grano , University of Zurich, Department of Informatics, Switzerland
Adelina Ciurumelea , University of Zurich, Department of Informatics, Switzerland
Sebastiano Panichella , University of Zurich, Department of Informatics, Switzerland
Fabio Palomba , University of Zurich, Department of Informatics, Switzerland
Harald C. Gall , University of Zurich, Department of Informatics, Switzerland
ABSTRACT
Mobile devices such as smartphones, tablets and wearables are changing the way we do things, radically modifying our approach to technology. To sustain the high competition characterizing the mobile market, developers need to deliver high quality applications in a short release cycle. To reveal and fix bugs as soon as possible, researchers and practitioners proposed tools to automate the testing process. However, such tools generate a high number of redundant inputs, lacking of contextual information and generating reports difficult to analyze. In this context, the content of user reviews represents an unmatched source for developers seeking for defects in their applications. However, no prior work explored the adoption of information available in user reviews for testing purposes. In this demo we present BECLOMA, a tool to enable the integration of user feedback in the testing process of mobile apps. BECLOMA links information from testing tools and user reviews, presenting to developers an augmented testing report combining stack traces with user reviews information referring to the same crash. We show that BECLOMA facilitates not only the diagnosis and fix of app bugs, but also presents additional benefits: it eases the usage of testing tools and automates the analysis of user reviews from the Google Play Store.
INDEX TERMS
Tools, Testing, Computer bugs, Crawlers, Google, Androids
CITATION

L. Pelloni, G. Grano, A. Ciurumelea, S. Panichella, F. Palomba and H. C. Gall, "BECLoMA: Augmenting stack traces with user review information," 2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER), Campobasso, Italy, 2018, pp. 522-526.
doi:10.1109/SANER.2018.8330252
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