Impact of Stack Overflow Code Snippets on Software Cohesion: A Preliminary Study

Ahmad, Mashal; Cinnéide, Mel Ó

doi:10.1109/msr.2019.00050

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…These projects represent over 428 million lines of code in Java, C++, Python, and JavaScript. Code reuse has been widely studied 41,42,3,43,44,45,46,47,48,49,50 . Specifically, Ossher et al 51 developed a line-level code clone detection tool, which is used upon the Sourcerer Repository.…”

Section: Related Workmentioning

confidence: 99%

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Yang¹,

Zhou²,

Li³

et al. 2023

Preprint

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Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, interactive environment, facilitating code reuse. While code reuse can improve programming efficiency, it can also decrease readability, security, and overall performance. We conduct a large-scale exploratory study of code reuse practices in the Jupyter Notebook development community on the Stack Overflow platform to understand the potential negative impacts of code reuse. Our findings identified 1,097,470 Jupyter Notebook clone pairs that reuse Stack Overflow code snippets, and the average code snippet has 7.91 code quality violations. Through our research, we gain insight into the reasons behind Jupyter Notebook developers' decision to reuse code and the potential drawbacks of this practice.

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Section: Related Workmentioning

confidence: 99%

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Yang¹,

Zhou²,

Li³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

“…Their study provides the potential impact of code reuse from StackOverflow on building apps. Ahmad et al 43 measured the impact of the code snippets from Stack Overflow in GitHub projects during the evolution, including prior to the addition of the snippet, immediately after the addition of the snippet and a longer time after the addition of the snippet. They found that almost 70% of the cases where the copied snippet affected the cohesion of the project.…”

Section: Related Workmentioning

confidence: 99%

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Tang

Yang

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, interactive environment, facilitating code reuse. While code reuse can improve programming efficiency, it can also decrease readability, security, and overall performance. We conduct a large-scale exploratory study of code reuse practices in the Jupyter Notebook development community on the Stack Overflow platform to understand the potential negative impacts of code reuse. Our findings identified 1,097,470 Jupyter Notebook clone pairs that reuse Stack Overflow code snippets, and the average code snippet has 7.91 code quality violations. Through our research, we gain insight into the reasons behind Jupyter Notebook developers’ decision to reuse code and the potential drawbacks of this practice.

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“…This proposed cohesion metric is based on three types of relationships; received, e.g., when the instance variable is received as a parameter; manipulated, e.g., when the instance variable is used in computation within the method body; and returned, e.g., when an attribute is returned by a method. Low-level similaritybased class cohesion and class cohesion metrics are used in [18] to measure the quality of program code that uses code snippets. In this technique, the quality of the recipient class is measured before the addition of the snippet, immediately after the addition of the snippet, and at later stages of software development.…”

Section: Related Workmentioning

confidence: 99%

Software Coupling and Cohesion Model for Measuring the Quality of Software Components

Alzamil

2023

CMC

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Measuring software quality requires software engineers to understand the system's quality attributes and their measurements. The quality attribute is a qualitative property; however, the quantitative feature is needed for software measurement, which is not considered during the development of most software systems. Many research studies have investigated different approaches for measuring software quality, but with no practical approaches to quantify and measure quality attributes. This paper proposes a software quality measurement model, based on a software interconnection model, to measure the quality of software components and the overall quality of the software system. Unlike most of the existing approaches, the proposed approach can be applied at the early stages of software development, to different architectural design models, and at different levels of system decomposition. This article introduces a software measurement model that uses a heuristic normalization of the software's internal quality attributes, i.e., coupling and cohesion, for software quality measurement. In this model, the quality of a software component is measured based on its internal strength and the coupling it exhibits with other component(s). The proposed model has been experimented with nine software engineering teams that have agreed to participate in the experiment during the development of their different software systems. The experiments have shown that coupling reduces the internal strength of the coupled components by the amount of coupling they exhibit, which degrades their quality and the overall quality of the software system. The introduced model can help in understanding the quality of software design. In addition, it identifies the locations in software design that exhibit unnecessary couplings that degrade the quality of the software systems, which can be eliminated.

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Impact of Stack Overflow Code Snippets on Software Cohesion: A Preliminary Study

Cited by 7 publications

References 9 publications

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook

Software Coupling and Cohesion Model for Measuring the Quality of Software Components

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