Better Code for Better Apps: A Study on Source Code Quality and Market Success of Android Applications

Corral, Luis; Fronza, Ilenia

doi:10.1109/mobilesoft.2015.10

Cited by 23 publications

(26 citation statements)

References 24 publications

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“…This difference can be explained that their operationalization of quality (the number of bug fix commits) grows proportionally with the number of commits while ours does not. Furthermore, they are similar to results by Corral et al [10] who found that the code quality of Android apps has only a marginal impact on market success.…”

Section: Results Discussionsupporting

confidence: 89%

Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects

Roehm¹,

Veihelmann²,

Wagner

et al. 2018

Lecture Notes in Business Information Processing

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Exaggeration or context changes can render maintainability experience into prejudice. For example, JavaScript is often seen as least elegant language and hence of lowest maintainability. Such prejudice should not guide decisions without prior empirical validation. We formulated 10 hypotheses about maintainability based on prejudices and test them in a large set of open-source projects (6,897 GitHub repositories, 402 million lines, 5 programming languages). We operationalize maintainability with five static analysis metrics. We found that JavaScript code is not worse than other code, Java code shows higher maintainability than C# code and C code has longer methods than other code. The quality of interface documentation is better in Java code than in other code. Code developed by teams is not of higher and large code bases not of lower maintainability. Projects with high maintainability are not more popular or more often forked. Overall, most hypotheses are not supported by open-source data.

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Section: Results Discussionsupporting

confidence: 89%

Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects

Roehm¹,

Veihelmann²,

Wagner

et al. 2018

Lecture Notes in Business Information Processing

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show abstract

“…Corral and Fronza [47] studied 100 open source apps that are available on the Google Play store. They performed correlation and regression analyses between source code quality metrics and the store performance metrics number of downloads, number of reviewers and average rating.…”

Section: Intra-storementioning

confidence: 99%

A Survey of App Store Analysis for Software Engineering

Martin

Sarro

Jia

et al. 2017

IIEEE Trans. Software Eng.

338

242

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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 applications been distributed via previous software deployment methods. App Store Analysis combines this non-technical information with technical information to learn trends and behaviours within these forms of software repositories. Findings from App Store Analysis have a direct and actionable impact on the software teams that develop software for app stores, and have led to techniques for requirements engineering, release planning, software design, security and testing. This survey describes and compares the areas of research that have been explored thus far, drawing out common aspects, trends and directions future research should take to address open problems and challenges.

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“…Corral and Fronza have compared the success of apps with quality code metrics (Corral and Fronza, 2015). They analyzed a sample of 100 apps and consider a number of code metrics: Weighted Results demonstrated that these metrics only have a marginal impact on the success of the apps, showing that real drivers of user satisfaction are beyond source code attributes.…”

Section: Related Workmentioning

confidence: 99%

To the attention of mobile software developers: guess what, test your app!

Cruz

Abreu

2019

Empir Software Eng

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Software testing is an important phase in the software development lifecycle because it helps in identifying bugs in a software system before it is shipped into the hand of its end users. There are numerous studies on how developers test general-purpose software applications. The idiosyncrasies of mobile software applications, however, set mobile apps apart from general-purpose systems (e.g., desktop, stand-alone applications, web services). This paper investigates working habits and challenges of mobile software developers with respect to testing. A key finding of our exhaustive study, using 1000 Android apps, demonstrates that mobile apps are still tested in a very ad hoc way, if tested at all. However, we show that, as in other types of software, testing increases the quality of apps (demonstrated in user ratings and number of code issues). Furthermore, we find evidence that tests are essential when it comes to engaging the community to contribute to mobile open source software. We discuss reasons and potential directions to address our findings. Yet another relevant finding of our study is that Continuous Integration and Continuous Deployment (CI/CD) pipelines are rare in the mobile apps world (only 26% of the apps are developed in projects employing CI/CD) -we argue that one of the main reasons is due to the lack of exhaustive and automatic testing.

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Better Code for Better Apps: A Study on Source Code Quality and Market Success of Android Applications

Cited by 23 publications

References 24 publications

Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects

Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects

A Survey of App Store Analysis for Software Engineering

To the attention of mobile software developers: guess what, test your app!

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