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Text mining approaches are being used increasingly for business analytics. In particular, such approaches are now central to understanding users' feedback regarding systems delivered via online application distribution platforms such as…

Software Engineering · Computer Science 2021-03-30 Chan Won Lee , Sherlock A. Licorish , Bastin Tony Roy Savarimuthu , Stephen G. MacDonell

With the increase in an average user's dependence on their mobile devices, the reliance on collecting his browsing history from mobile browsers has also increased. This browsing history is highly utilized in the advertising industry for…

Information Retrieval · Computer Science 2019-04-26 Bharat Gaind , Nitish Varshney , Shubham Goel , Akash Mondal

Online experimentation platforms collect user feedback at low cost and large scale. Some systems even support real-time or near real-time data processing, and can update metrics and statistics continuously. Many commonly used metrics, such…

Applications · Statistics 2022-11-01 Alex Deng , Michelle Du , Anna Matlin

App store-inspired elicitation is the practice of exploring competitors' apps, to get inspiration for requirements. This activity is common among developers, but little insight is available on its practical use, advantages, and possible…

Software Engineering · Computer Science 2023-01-31 Alessio Ferrari , Paola Spoletini

Choice decisions made by users of online applications can suffer from biases due to the users' level of engagement. For instance, low engagement users may make random choices with no concern for the quality of items offered. This biased…

Applications · Statistics 2016-08-30 Zhengli Wang , Tauhid Zaman

Meeting performance and scalability requirements while delivering services is a critical issue in web applications. Recently, latency and cost of Internet-based services are encouraging the use of application-level caching to continue…

Software Engineering · Computer Science 2020-11-03 Jhonny Mertz , Ingrid Nunes

In an era of rapidly expanding software usage, catering to the diverse needs of users from various backgrounds has become a critical challenge. Inclusiveness, representing a core human value, is frequently overlooked during software…

Software Engineering · Computer Science 2024-12-03 Nowshin Nawar Arony , Ze Shi Li , Daniela Damian , Bowen Xu

In the Google Play store, an introduction page is associated with every mobile application (app) for users to acquire its details, including screenshots, description, reviews, etc. However, it remains a challenge to identify what items…

Human-Computer Interaction · Computer Science 2017-03-08 He Jiang , Hongjing Ma , Zhilei Ren , Jingxuan Zhang , Xiaochen Li

Previous studies showed that replying to a user review usually has a positive effect on the rating that is given by the user to the app. For example, Hassan et al. found that responding to a review increases the chances of a user updating…

Software Engineering · Computer Science 2020-02-11 Cuiyun Gao , Jichuan Zeng , Xin Xia , David Lo , Michael R. Lyu , Irwin King

The pace and volume of code churn necessary to evolve modern software systems present challenges for analyzing the performance impact of any set of code changes. Traditional methods used in performance analysis rely on extensive data…

Software Engineering · Computer Science 2022-05-09 Gunnar Kudrjavets , Jeff Thomas , Aditya Kumar , Nachiappan Nagappan , Ayushi Rastogi

The proliferation of mobile applications and the subsequent sharing of personal data with service and application providers have given rise to substantial privacy concerns. Application marketplaces have introduced mechanisms to conform to…

Cryptography and Security · Computer Science 2023-11-02 Joao Marono , Catarina Silva , Joao P. Barraca , Vitor Cunha , Paulo Salvador

Context: As mobile applications (Apps) widely spread over our society and life, various personal information is constantly demanded by Apps in exchange for more intelligent and customized functionality. An increasing number of users are…

Software Engineering · Computer Science 2023-10-12 Jianzhang Zhang , Jinping Hua , Yiyang Chen , Nan Niu , Chuang Liu

With the increasing number of mobile Apps developed, they are now closely integrated into daily life. In this paper, we develop a framework to predict mobile Apps that are most likely to be used regarding the current device status of a…

Machine Learning · Computer Science 2013-10-01 Zhung-Xun Liao , Shou-Chung Li , Wen-Chih Peng , Philip S Yu

App usage prediction is important for smartphone system optimization to enhance user experience. Existing modeling approaches utilize historical app usage logs along with a wide range of semantic information to predict the app usage;…

Machine Learning · Computer Science 2021-08-27 Yonchanok Khaokaew , Mohammad Saiedur Rahaman , Ryen W. White , Flora D. Salim

Mobile advertising is a billion pound industry that is rapidly expanding. The success of an advert is measured based on how users interact with it. In this paper we investigate whether the application of unsupervised learning and…

Computers and Society · Computer Science 2016-11-17 Jenna Reps , Uwe Aickelin , Jonathan Garibaldi , Chris Damski

User feedback is becoming an increasingly important source of information for requirements engineering, user interface design, and software engineering in general. Nowadays, user feedback is largely available and easily accessible in social…

Software Engineering · Computer Science 2024-07-23 Walid Maalej , Volodymyr Biryuk , Jialiang Wei , Fabian Panse

The energy inefficiency of the apps can be a major issue for the app users which is discussed on App Stores extensively. Previous research has shown the importance of investigating the energy related app reviews to identify the major causes…

Artificial Intelligence · Computer Science 2023-04-25 Noshin Nawal

Fairness is one of the socio-technical concerns that must be addressed in software systems. Considering the popularity of mobile software applications (apps) among a wide range of individuals worldwide, mobile apps with unfair behaviors and…

Software Engineering · Computer Science 2024-08-02 Ali Rezaei Nasab , Maedeh Dashti , Mojtaba Shahin , Mansooreh Zahedi , Hourieh Khalajzadeh , Chetan Arora , Peng Liang

Effectively measuring, understanding, and improving mobile app performance is of paramount importance for mobile app developers. Across the mobile Internet landscape, companies run online controlled experiments (A/B tests) with thousands of…

Applications · Statistics 2020-12-01 Yuxiang Xie , Meng Xu , Evan Chow , Xiaolin Shi

[Purpose] To better understand the online reviews and help potential consumers, businessmen, and product manufacturers effectively obtain users' evaluation on product aspects, this paper explores the distribution regularities of user…

Computation and Language · Computer Science 2022-09-09 Chenglei Qin , Chengzhi Zhang , Yi Bu