Software Analytics for Mobile Applications--Insights &amp;amp; Lessons Learned

Minelli, Roberto; Lanza, Michele

doi:10.1109/csmr.2013.24

Cited by 79 publications

(65 citation statements)

References 22 publications

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“…Regarding the analysis of Android apps, there are a few tools and approaches devoted to the study of Android code smell specificities [2], [45], [60].…”

Section: Related Workmentioning

confidence: 99%

Code Smells in iOS Apps: How Do They Compare to Android?

Habchi

Hecht

Rouvoy

et al. 2017

2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)

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“…Regarding the analysis of Android apps, there are a few tools and approaches devoted to the study of Android code smell specificities [2], [45], [60].…”

Section: Related Workmentioning

confidence: 99%

Code Smells in iOS Apps: How Do They Compare to Android?

Habchi

Hecht

Rouvoy

et al. 2017

2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft)

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“…Minelli and Lanza [17] proposed a visualization-based analysis for mobile apps using Samoa, which is an interactive tool that uses historical and structural information from the apps. Although the tool is not focused on a specific design aspect as reuse, the authors used the Average Hierarchy Height (AHH) and Average Number of Derived Classes (ANDC) metrics to study inheritance in Android apps.…”

Section: Reuse In the Android Marketmentioning

confidence: 99%

“…As of today, only a handful of papers have analyzed mobile apps and their ecosystems to understand the factors that distinguish mobile apps and their development processes from desktop and web applications [5,9,12,17,18,19,24,25]. For example, Minelli and Lanza [17] and Syer et al [25] suggest that practices for desktop and server-based applications may not necessarily apply to mobile apps.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Minelli and Lanza [17] and Syer et al [25] suggest that practices for desktop and server-based applications may not necessarily apply to mobile apps. Most of these related papers used a similar approach that consists of analyzing the code or metadata available in public markets.…”

Section: Introductionmentioning

confidence: 99%

“…Even in the case of open source apps, according to [17,24] some apps include the source code of third-party libraries. In addition, obfuscation is a common practice recommended in the Android developer guide [7] to protect security protocols and other application components from reverse engineering attacks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Revisiting Android reuse studies in the context of code obfuscation and library usages

Linares‐Vásquez

Holtzhauer

Bernal-Cárdenas

et al. 2014

Proceedings of the 11th Working Conference on Mining Software Repositories

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In the recent years, studies of design and programming practices in mobile development are gaining more attention from researchers. Several such empirical studies used Android applications (paid, free, and open source) to analyze factors such as size, quality, dependencies, reuse, and cloning. Most of the studies use executable files of the apps (APK files), instead of source code because of availability issues (most of free apps available at the Android official market are not open-source, but still can be downloaded and analyzed in APK format). However, using only APK files in empirical studies comes with some threats to the validity of the results.In this paper, we analyze some of these pertinent threats. In particular, we analyzed the impact of third-party libraries and code obfuscation practices on estimating the amount of reuse by class cloning in Android apps. When including and excluding third-party libraries from the analysis, we found statistically significant differences in the amount of class cloning 24,379 free Android apps. Also, we found some evidence that obfuscation is responsible for increasing a number of false positives when detecting class clones. Finally, based on our findings, we provide a list of actionable guidelines for mining and analyzing large repositories of Android applications and minimizing these threats to validity.

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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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Software Analytics for Mobile Applications--Insights & Lessons Learned

Cited by 79 publications

References 22 publications

Code Smells in iOS Apps: How Do They Compare to Android?

Code Smells in iOS Apps: How Do They Compare to Android?

Revisiting Android reuse studies in the context of code obfuscation and library usages

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

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