International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 7, No. 10, 8 Sep. 2015
Cover page and Table of Contents: PDF (size: 386KB)
Towards Improving the Quality of Mobile App Reviews
Full Text (PDF, 386KB), PP.35-41
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Author(s)
Index Terms
Mobile Apps, App store, User Rating, Review System, Crowdsource
Abstract
Mobile app reviews are gaining importance as a crowd source to improve the quality of mobile apps. Mobile app review systems are providing a platform for users to share their experiences and to support in decision making for a certain app. Developers, on the other side, are utilizing the review system to get real-life user experience as a source of improving their apps. This paper has analyzed existing review system and proposed few recommendations for the current review system to improve the quality of app reviews. The proposed review system can help for collection and analysis of user reviews to make it more meaningful with less intensive data mining techniques. The proposed system can help the end users to get an overview of mobile apps. The recommendations in this paper are derived from the existing literature related to app reviews and will help to improve the current review systems for better app reviews from users as well as developers perspective.
Cite This Paper
Mubasher Khalid, Muhammad Asif, Usman Shehzaib, "Towards Improving the Quality of Mobile App Reviews", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.10, pp.35-41, 2015. DOI:10.5815/ijitcs.2015.10.05
Reference
[1]Christine Monaghan, T.N., App Store Rings in 2015 with New Records. 2015, Apple Press Info.
[2]Vasa, R., et al. A preliminary analysis of mobile app user reviews. In Proceedings of the 24th Australian Computer-Human Interaction Conference. 2012. ACM. 10.1145/2414536.2414577.
[3]Finkelstein, A., et al., Mining App Stores: Extracting Technical, Business and Customer Rating Information for Analysis and Prediction. RN, 2013. 13: p. 21.
[4]Chen, N., et al. AR-miner: mining informative reviews for developers from mobile app marketplace. In ICSE. 2014.
[5]Cui, G., H.-k. Lui, and X. Guo. Online reviews as a driver of new product sales. in Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on. 2010. IEEE.
[6]Islam, M.R. Numeric rating of Apps on Google Play Store by sentiment analysis on user reviews. in Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on. 2014. IEEE.
[7]Chiu, C., et al., app review analytics of free games listed on Google play.
[8]Finkelstein, A., et al., App Store Analysis: Mining App Stores for Relationships between Customer, Business and Technical Characteristics. RN, 2014. 14: p. 10.
[9]Hoon, L., et al. A preliminary analysis of vocabulary in mobile app user reviews. in Proceedings of the 24th Australian Computer-Human Interaction Conference. 2012. ACM.
[10]Fu, B., et al. Why people hate your app: Making sense of user feedback in a mobile app store. in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. 2013. ACM.
[11]Oh, J., et al. Facilitating developer-user interactions with mobile app review digests. in CHI'13 Extended Abstracts on Human Factors in Computing Systems. 2013. ACM.
[12]Guzman, E. and W. Maalej. How do users like this feature? A fine grained sentiment analysis of app reviews. in Requirements Engineering Conference (RE), 2014 IEEE 22nd International.
[13]Khalid, H. On identifying user complaints of iOS apps. in Software Engineering (ICSE), 2013 35th International Conference on. 2013. IEEE.
[14]Iacob, C. and R. Harrison. Retrieving and analyzing mobile apps feature requests from online reviews. in Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on. 2013. IEEE.
[15]Pagano, D. and W. Maalej. User feedback in the App store: An empirical study. in Requirements Engineering Conference (RE), 2013 21st IEEE International. 2013. IEEE.
[16]Iacob, C., V. Veerappa, and R. Harrison. What are you complaining about? A study of online reviews of mobile applications. In Proceedings of the 27th International BCS Human Computer Interaction Conference. 2013. British Computer Society.
[17]Khalid, H., et al., What do mobile app users complain about? A study on free iOS apps. 2014. Software, IEEE. 10.1109/MS.2014.50
[18]Ha, E. and D. Wagner. Do android users write about electric sheep? Examining consumer reviews in Google play. In Consumer Communications and Networking Conference (CCNC), 2013 IEEE. 10.1109/CCNC.2013.6488439.
[19]Linares-Vásquez, M., et al. API change and fault proneness: a threat to the success of Android apps. in Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering. 2013. ACM.
[20]Hyrynsalmi, s., et al., the relevance of customer reviews in the mobile application marketplaces.
[21]Wolfe, C., Right Now Study Finds Retailers Can Win Back Unhappy Customers through Social Media. 2011. http://www.harrisinteractive.com.
[22]Harleen K. Flora, Xiaofeng Wang, Swati V. Chande, "An Investigation on the Characteristics of Mobile Applications: A Survey Study", IJITCS, vol.6, no.11, pp.21-27, 2014. DOI 10.5815/ijitcs.2014.11.03
[23]Thilaka, N., Amrita Vishwa Vidhyapeetham, and V. Natarajan. "The Dynamics of Online Readers Comments and the Online Media–A Content Analysis." IJITCS.