Studying the dialogue between users and developers of free apps in the Google Play Store

Hassan, Safwat; Tantithamthavorn, Chakkrit; Bezemer, Cor‐Paul; Hassan, Ahmed E.

doi:10.1007/s10664-017-9538-9

Cited by 67 publications

(16 citation statements)

References 21 publications

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“…Martin et al [14] provided a survey paper that contains a more exhaustive list of studies conducted on iOS Apps. Hassan et al [9] studied 4.5 million reviews with 126,686 developer responses of 2,328 top free apps from the Google Play Store. The study was an attempt to (i) explore more about the dynamic nature of the review-response mechanism and (ii) find if responding to a review often has a positive effect on the rating that is given by the user.…”

Section: Related Workmentioning

confidence: 99%

What Do Developers Reply To? An Empirical Study of the Top Unmanned Aerial Vehicles (UAVs) Apps (S)

Outay¹

2021

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering

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Most modern UAVs/drones have a dependency on using a mobile device as part of the flight systems. The drone manufacturers launch the controlling app for the drones in mobile app stores. There has been a tremendous upsurge in the number of UAVs (Unmanned Aerial Vehicle) mobile apps on the Google Play Store over the past few years. A UAV/Drone app user expresses the experience with the app by providing comments on the Google Play Store. Whereas, the developers interact with the user by posting replies to users' comments. Feedback in users' comments enables developers of mobile apps to discover issues, such as features requests, bugs to fix, and app maintenance requests, in a timely manner. The value of responding to a user review of drone apps has never been explored. We conducted the largest and most extensive empirical study of UAV mobile apps todate by analyzing the 1,825 UAV mobile apps across twenty-five categories, with 162,250 reviews (user comments and developers' replies). We categorized the developer replies into seven major categories. We also find that 35% of the developer's replies are associated with providing direct solutions to the drone app user's problems. Whereas, only 1% of the developer replies are related to the app's monetary refund issues.

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Section: Related Workmentioning

confidence: 99%

What Do Developers Reply To? An Empirical Study of the Top Unmanned Aerial Vehicles (UAVs) Apps (S)

Outay¹

2021

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering

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“…Seven drivers that make a developer respond to a review were identified, of which the most important ones are to thank the users for using the app and to ask the user for more details about the reported issue. In summary, there were significant evidences found, that it can be worthwhile for app owners to respond to reviews, as responding may lead to an increase in the given rating and that studying the dialogue between user and developer can provide valuable insights which may lead to improvements in the app store and the user support process [51].…”

Section: Comments On Studiesmentioning

confidence: 99%

Software Development Analytics in Practice: A Systematic Literature Review

Caldeira¹,

Abreu²,

Cardoso³

et al. 2020

Preprint

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Context: Software Development Analytics is a research area concerned with providing insights to improve product deliveries and processes. Many types of studies, data sources and mining methods have been used for that purpose.Objective: This systematic literature review aims at providing an aggregate view of the relevant studies on Software Development Analytics in the past decade (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019), with an emphasis on its application in practical settings.Method : Definition and execution of a search string upon several digital libraries, followed by a quality assessment criteria to identify the most relevant papers. On those, we extracted a set of characteristics (study type, data source, study perspective, development life-cycle activities covered, stakeholders, mining methods, and analytics scope) and classified their impact against a taxonomy.Results: Source code repositories, experimental case studies, and developers are the most common data sources, study types, and stakeholders, respectively.Product and project managers are also often present, but less than expected.Mining methods are evolving rapidly and that is reflected in the long list identified. Descriptive statistics are the most usual method followed by correlation

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“…There are few early publications in software engineering where we see evidence of using MLMs. In (Ehrlich and Cataldo, 2012) the authors used multilevel models for assessing communication in global software development, while in (Hassan et al, 2017), the authors applied MLMs for studying reviews in an app store. However, both studies used a frequentist approach (maximum likelihood), i.e., not a Bayesian approach.…”

Section: Recommended Further Readingmentioning

confidence: 99%

Bayesian data analysis in empirical software engineering---The case of missing data

Torkar¹,

Feldt²,

Furia³

2019

Preprint

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Bayesian data analysis (BDA) is today used by a multitude of research disciplines. These disciplines use BDA as a way to embrace uncertainty by using multilevel models and making use of all available information at hand. In this chapter, we first introduce the reader to BDA and then provide an example from empirical software engineering, where we also deal with a common issue in our field, i.e., missing data. The example we make use of presents the steps done when conducting state of the art statistical analysis. First, we need to understand the problem we want to solve. Second, we conduct causal analysis. Third, we analyze non-identifiability. Fourth, we conduct missing data analysis. Finally, we do a sensitivity analysis of priors. All this before we design our statistical model. Once we have a model, we present several diagnostics one can use to conduct sanity checks. We hope that through these examples, the reader will see the advantages of using BDA. This way, we hope Bayesian statistics will become more prevalent in our field, thus partly avoiding the reproducibility crisis we have seen in other disciplines.

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Studying the dialogue between users and developers of free apps in the Google Play Store

Cited by 67 publications

References 21 publications

What Do Developers Reply To? An Empirical Study of the Top Unmanned Aerial Vehicles (UAVs) Apps (S)

What Do Developers Reply To? An Empirical Study of the Top Unmanned Aerial Vehicles (UAVs) Apps (S)

Software Development Analytics in Practice: A Systematic Literature Review

Bayesian data analysis in empirical software engineering---The case of missing data

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