Release Practices for Mobile Apps -- What do Users and Developers Think?

Nayebi, Maleknaz; Adams, Bram; Ruhe, Guenther

doi:10.1109/saner.2016.116

Cited by 67 publications

(44 citation statements)

References 31 publications

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“…They found evidence that more mentions of features and fewer mentions of bug fixing can increase the chance for a release to be impactful rating, then they explored findings from app store comprehensively in 1 study and pointed out which have a direct and actionable impact on software teams, release planning, techniques for requirements engineering, software design, security, and testing. Also, studies tried to explore reasonable release strategies for mobile apps in their evolution process. Nayebi et al performed 2 surveys with users and developers; they found that the release date and frequency is not a decisive factor to install an app, and users prefer to install apps that are updated more recently and less frequently.…”

Section: Related Workmentioning

confidence: 99%

“…Also, studies tried to explore reasonable release strategies for mobile apps in their evolution process. Nayebi et al performed 2 surveys with users and developers; they found that the release date and frequency is not a decisive factor to install an app, and users prefer to install apps that are updated more recently and less frequently. Villarroel et al presented a tool supporting the release planning activity of mobile apps by mining information from user reviews.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

The evolution of open-source mobile applications: An empirical study

Guo

Shen

et al. 2017

J Softw Evol Proc

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Now, mobile applications grow at an exponential speed and their evolution activities are very active, while there is little research on the evolution of mobile apps. To have a better understanding of the evolution of mobile apps and find similarities or patterns in their evolution process, we conduct an empirical study on long spans in the lifetime of 8 typical open‐source mobile apps, which covers 348 official releases. First, we try to verify whether Lehman's laws still apply to mobile apps or not, extract a variety of metrics of the apps, and use statistical hypothesis testing to validate these laws. We find enough data that support a subset of Lehman's laws, while the rest do not. Second, we make some novel observations, eg, the growth of mobile apps is nonsmooth, and some versions of the apps have a great growth in their evolution. Enough data confirming that software instability increases great with the addition of third‐party method invocations, and automatic build and manage tool based on contract is introduced into project as apps continue evolving.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

The evolution of open-source mobile applications: An empirical study

Guo

Shen

et al. 2017

J Softw Evol Proc

View full text Add to dashboard Cite

show abstract

“…A 2015 survey [34] shows that 77% of the users will not download an app that has a star rating which is lower than 3 stars. In addition, Nayebi et al [29] find that app developers often deviate from their time-based release scheduling in order to address issues that are raised in user reviews. Consequently, it is important for apps to achieve high star ratings and good user reviews.…”

Section: Studying the Consistency Of Star Ratings And The Complaints mentioning

confidence: 99%

Studying the consistency of star ratings and the complaints in 1 & 2-star user reviews for top free cross-platform Android and iOS apps

Bezemer

Hassan

2016

Preprint

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How users rate a mobile app via star ratings and user reviews is of utmost importance for the success of an app. Recent studies and surveys show that users rely heavily on star ratings and user reviews that are provided by other users, for deciding which app to download. However, understanding star ratings and user reviews is a complicated matter, since they are influenced by many factors such as the actual quality of the app and how the user perceives such quality relative to their expectations, which are in turn influenced by their prior experiences and expectations relative to other apps on the platform (e.g., iOS versus Android). Nevertheless, star ratings and user reviews provide developers with valuable information for improving the software quality of their app. In an effort to expand their revenue and reach more users, app developers commonly build cross-platform apps, i.e., apps that are available on multiple platforms. As star ratings and user reviews are of such importance in the mobile app industry, it is essential for developers of cross-platform apps to maintain a consistent level of star ratings and user reviews for their apps across the various platforms on which they are available. In this paper, we investigate whether cross-platform apps achieve a consistent level of star ratings and user reviews. We manually identify 19 cross-platform apps and conduct an empirical study on their star ratings and user reviews. By manually tagging 9,902 1 & 2-star reviews of the studied cross-platform apps, we discover that the distribution of the frequency of complaint types varies across platforms. Finally, we study the negative impact ratio of complaint types and find that for some apps, users have higher expectations on one platform. All our proposed techniques and our methodologies are generic and can be used for any app. Our findings show that at least 68% of the studied cross-platform apps do not have consistent star ratings, which suggests that different quality assurance efforts need to be considered by Abstract How users rate a mobile app via star ratings and user reviews is of utmost importance for the success of an app. Recent studies and surveys show that users rely heavily on star ratings and user reviews that are provided by other users, for deciding which app to download. However, understanding star ratings and user reviews is a complicated matter, since they are influenced by many factors such as the actual quality of the app and how the user perceives such quality relative to their expectations, which are in turn influenced by their prior experiences and expectations relative to other apps on the platform (e.g., iOS versus Android). Nevertheless, star ratings and user reviews provide developers with valuable information for improving the software quality of their app.In an effort to expand their revenue and reach more users, app developers commonly build cross-platform apps, i.e., apps that are available on multiple platforms. As star ratings and user reviews are of such importance in the mobil...

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“…Heterogeneity of mobile databases, complexity in mobile applications development [1] as well as the mobile devices themselves has engineered several obstructions in data synchronization. Data Synchronization (DS) can be defined as record exchange between two different databases [2].…”

Section: Introductionmentioning

confidence: 99%

Data Synchronization Model for Heterogeneous Mobile Databases and Server-side Database

Imam¹,

Basri²,

Ahmad³

et al. 2018

ijacsa

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Abstract-Mobile devices, because they can be used to access corporate information anytime anywhere, have recently received considerable attention, and several research efforts have been tailored towards addressing data synchronization problems. However, the solutions are either vendor specific or homogeneous in nature. This paper proposed Heterogeneous Mobile Database Synchronization Model (HMDSM) to enable all mobile databases (regardless of their individual differences) and participate in any data synchronization process. To accomplish this, an experimental approach (exploratory and confirmatory) was employed. Also existing models and algorithms are classified, protracted and applied. All database peculiar information, such as trigger, timestamp and meta-data are eliminated. A listener is added to listen to any operation performed from either side. To prove its performance, the proposed model underwent rigorous experimentation and testing. X 2 test was used to analyze the data generated from the experiment. Results show the feasibility of having an approach which can handle database synchronization between heterogeneous mobile databases and the server. The proposed model does not only prove its generic nature to all mobile databases but also reduces the use of mobile resources; thus suitable for mobile devices with low computing power to proficiently process large amount of data.

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Release Practices for Mobile Apps -- What do Users and Developers Think?

Cited by 67 publications

References 31 publications

The evolution of open-source mobile applications: An empirical study

The evolution of open-source mobile applications: An empirical study

Studying the consistency of star ratings and the complaints in 1 & 2-star user reviews for top free cross-platform Android and iOS apps

Data Synchronization Model for Heterogeneous Mobile Databases and Server-side Database

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