Studying the relationship between source code quality and mobile platform dependence

Syer, Mark D.; Nagappan, Meiyappan; Adams, Bram; Hassan, Ahmed E.

doi:10.1007/s11219-014-9238-2

Cited by 32 publications

(19 citation statements)

References 35 publications

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“…We can clearly see the team size is fixed in the evolution process, also for other apps. Our result is consistent with Israeli's research on software evolution of the Linux kernel.…”

Section: Evolution Of the Mobile Appssupporting

confidence: 92%

“…In previous researches, Lehman found that the number of modules of IBM OS/360 represents a linear growth trend. Izurieta and Bieman took an empirical study on FreeBSD and Linux and found the growth rates appear to be linear or sublinear at system and subsystem level.…”

Section: Observationsmentioning

confidence: 98%

“…In previous studies, researchers used various metrics to quantity system size; they mainly used size metrics and functionality metrics. Lehman used number of modules of the system to quantify software's size; Godfrey and Izurieta used LOC as size metrics; and Israeli used number of system calls, number of functions, and LOC to describe the growth of Linux kernel. For object oriented software, we all know that a basic unit corresponding to a real world's entities is a class, the characteristics of the world are the attributes of the class, and the behavior of the entity corresponding to software is the specific methods.…”

Section: Evolution Of the Mobile Appsmentioning

confidence: 99%

“…These laws were formulated by empirical observations of commercial software (namely, IBM OS/360 operating system). Although much time has passed, many of Lehman's laws are still applicable to present open‐source software and commercial software . With the emergence of smartphones, the market of mobile apps grows exponentially.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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“…We can clearly see the team size is fixed in the evolution process, also for other apps. Our result is consistent with Israeli's research on software evolution of the Linux kernel.…”

Section: Evolution Of the Mobile Appssupporting

confidence: 92%

Section: Observationsmentioning

confidence: 98%

Section: Evolution Of the Mobile Appsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

“…For example, Gorla et al [6] used API calls to understand how anomalous API calls can highlight aberrant or otherwise suspicious behaviour, while Syer et al [25] used API calls to understand the relationship between defects and platform dependence. A comprehensive survey of App Store Analysis for Software Engineering can be found in the authors' recent survey [22].…”

Section: App Store Analysismentioning

confidence: 99%