2018
DOI: 10.1002/smr.2112
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Analyzing reviews guided by App descriptions for the software development and evolution

Abstract: Reviews in App stores are a massive and fast‐growing data resource for developers to understand user experiences and their needs. Studies show that users often express their sentiments on App features in reviews, and this information is important for the development and evolution of Apps. To help developers gain such information efficiently, this paper proposes a method using App descriptions, another typical data in App stores, to guide the analysis of reviews. Firstly, we extract App features from descriptio… Show more

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Cited by 12 publications
(19 citation statements)
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“…Timo et al proposed SAFE, which can extract and match the features from the app descriptions 12 . Liu et al 13 proposed a method to analyze reviews guided by app descriptions for software development and evolution. First, they extract app features from descriptions and then summarize them to gain topics of app features as high‐level information.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Timo et al proposed SAFE, which can extract and match the features from the app descriptions 12 . Liu et al 13 proposed a method to analyze reviews guided by app descriptions for software development and evolution. First, they extract app features from descriptions and then summarize them to gain topics of app features as high‐level information.…”
Section: Related Workmentioning
confidence: 99%
“…As much research indicates, the features in descriptions are often expressed by the words with particular part of speech (POS) 13 and certain grammar structures, such as nouns with verb (“ask question” and “translate text”). Thus, we analyzed and summarized the relationship between structures of sentences and features to define a set of feature extraction rules and used them to extract features from app descriptions effectively.…”
Section: Building the Feature Frameworkmentioning
confidence: 99%
“…To the best of our knowledge, only very few studies employed research data from other sources to analyze app reviews. Those other sources include user reviews of software [4], of products [5], and app descriptions [14], etc. However, both [4,5] aimed to extract and cluster user opinions, rather than classifying requirements into different categories.…”
Section: Related Workmentioning
confidence: 99%
“…However, both [4,5] aimed to extract and cluster user opinions, rather than classifying requirements into different categories. In [14], Liu et al used app descriptions, another typical data in app stores, to guide the analysis of user reviews. Gao et al [7] used app changelogs to identify emerging issues from app reviews, instead of identifying and classifying requirements.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation