A survey of app store analysis for software engineering

W Martin, F Sarro, Y Jia, Y Zhang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

[HTML][HTML] Analysing app reviews for software engineering: a systematic literature review

J Dąbrowski, E Letier, A Perini, A Susi - Empirical Software Engineering, 2022 - Springer
App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning

S Sadiq, M Umer, S Ullah, S Mirjalili… - Expert Systems with …, 2021 - Elsevier
Nowadays online reviews play a significant role in influencing the decision of consumers.
Consumers show their experience and information about product quality in their reviews …

Sentiment polarity detection for software development

F Calefato, F Lanubile, F Maiorano… - Proceedings of the 40th …, 2018 - dl.acm.org
The role of sentiment analysis is increasingly emerging to study software developers'
emotions by mining crowd-generated content within software repositories and information …

A systematic literature review: Opinion mining studies from mobile app store user reviews

N Genc-Nayebi, A Abran - Journal of Systems and Software, 2017 - Elsevier
As mobile devices have overtaken fixed Internet access, mobile applications and distribution
platforms have gained in importance. App stores enable users to search for, purchase and …

What would users change in my app? summarizing app reviews for recommending software changes

A Di Sorbo, S Panichella, CV Alexandru… - Proceedings of the …, 2016 - dl.acm.org
Mobile app developers constantly monitor feedback in user reviews with the goal of
improving their mobile apps and better meeting user expectations. Thus, automated …

Sentiment analysis for software engineering: How far can we go?

B Lin, F Zampetti, G Bavota, M Di Penta… - Proceedings of the 40th …, 2018 - dl.acm.org
Sentiment analysis has been applied to various software engineering (SE) tasks, such as
evaluating app reviews or analyzing developers' emotions in commit messages. Studies …

Release planning of mobile apps based on user reviews

L Villarroel, G Bavota, B Russo, R Oliveto… - Proceedings of the 38th …, 2016 - dl.acm.org
Developers have to to constantly improve their apps by fixing critical bugs and implementing
the most desired features in order to gain shares in the continuously increasing and …

Opinion mining for software development: a systematic literature review

B Lin, N Cassee, A Serebrenik, G Bavota… - ACM Transactions on …, 2022 - dl.acm.org
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

The crowd in requirements engineering: The landscape and challenges

EC Groen, N Seyff, R Ali, F Dalpiaz, J Doerr… - IEEE …, 2017 - ieeexplore.ieee.org
Crowd-based requirements engineering (CrowdRE) could significantly change RE.
Performing RE activities such as elicitation with the crowd of stakeholders turns RE into a …