Evaluating test quality of Python libraries for IoT applications at the network edge.
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| Title: | Evaluating test quality of Python libraries for IoT applications at the network edge. |
|---|---|
| Authors: | Chen, Zhifei1 (AUTHOR) chenzhifei@njust.edu.cn, Jia, Chiheng2 (AUTHOR), Chen, Lin2 (AUTHOR) |
| Source: | Wireless Networks (10220038). Oct2024, Vol. 30 Issue 7, p6603-6618. 16p. |
| Subjects: | Olfactometry, Internet of things, Research personnel, Coevolution, Internet, Python programming language |
| Abstract: | The Internet of Things (IoT) frequently exchange data through the Internet by comprising a complex network of smart devices. However, various vulnerabilities of IoT applications are observed which shall keep IoT as a technology in danger. Therefore, IoT applications should go through rigorous testing at the network edge. Python is widely used for programming IoT devices as well as developing the corresponding back-end at the network edge. Due to the difficulty of static program analysis on dynamic languages, the quality of test code in Python libraries for IoT development faces a serious threat, which in turn affects the performance of IoT applications. In order to evaluate test quality of Python libraries for IoT applications, we propose a test analysis framework named Pysta. It uses a hybrid analysis engine to support the multi-dimensional evaluation of Python test code. Based on Pysta, we then conduct an empirical study on test quality in eight Python libraries which are widely used for IoT development to investigate test code composition, test objects, test co-evolution, and test code smells. The study results reveal the major problems and challenge in the tests of Python libraries for IoT applications, including low naming consistency, single form of assertion, lacking edge tests, low test coverage in large-scale projects, delaying test co-evolution, and various code smells in tests. This work can inspire researchers and developers on how to improve test quality of IoT applications and further reduce security risks associated with IoT systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 180804959 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating test quality of Python libraries for IoT applications at the network edge. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Zhifei%22">Chen, Zhifei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chenzhifei@njust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jia%2C+Chiheng%22">Jia, Chiheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Lin%22">Chen, Lin</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>. Oct2024, Vol. 30 Issue 7, p6603-6618. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Olfactometry%22">Olfactometry</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Coevolution%22">Coevolution</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Internet of Things (IoT) frequently exchange data through the Internet by comprising a complex network of smart devices. However, various vulnerabilities of IoT applications are observed which shall keep IoT as a technology in danger. Therefore, IoT applications should go through rigorous testing at the network edge. Python is widely used for programming IoT devices as well as developing the corresponding back-end at the network edge. Due to the difficulty of static program analysis on dynamic languages, the quality of test code in Python libraries for IoT development faces a serious threat, which in turn affects the performance of IoT applications. In order to evaluate test quality of Python libraries for IoT applications, we propose a test analysis framework named Pysta. It uses a hybrid analysis engine to support the multi-dimensional evaluation of Python test code. Based on Pysta, we then conduct an empirical study on test quality in eight Python libraries which are widely used for IoT development to investigate test code composition, test objects, test co-evolution, and test code smells. The study results reveal the major problems and challenge in the tests of Python libraries for IoT applications, including low naming consistency, single form of assertion, lacking edge tests, low test coverage in large-scale projects, delaying test co-evolution, and various code smells in tests. This work can inspire researchers and developers on how to improve test quality of IoT applications and further reduce security risks associated with IoT systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11276-023-03479-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 6603 Subjects: – SubjectFull: Olfactometry Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Research personnel Type: general – SubjectFull: Coevolution Type: general – SubjectFull: Internet Type: general – SubjectFull: Python programming language Type: general Titles: – TitleFull: Evaluating test quality of Python libraries for IoT applications at the network edge. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Zhifei – PersonEntity: Name: NameFull: Jia, Chiheng – PersonEntity: Name: NameFull: Chen, Lin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10220038 Numbering: – Type: volume Value: 30 – Type: issue Value: 7 Titles: – TitleFull: Wireless Networks (10220038) Type: main |
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