Automatic and Continuous Software Architecture Validation.
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| Title: | Automatic and Continuous Software Architecture Validation. |
|---|---|
| Authors: | Goldstein, Maayan1 maayang@il.ibm.com, Segall, Itai1 itais@il.ibm.com |
| Source: | ICSE: International Conference on Software Engineering. 2015, p59-68. 10p. |
| Subjects: | Computer software research, Computer software development, Computer architecture, Software architecture, Computer engineering |
| Abstract: | Software systems tend to suffer from architectural problems as they are being developed. While modern software development methodologies such as Agile and Dev-Ops suggest different ways of assuring code quality, very little attention is paid to maintaining high quality of the architecture of the evolving systems. By detecting and alerting about violations of the intended software architecture, one can often avoid code-level bad smells such as spaghetti code. Typically, if one wants to reason about the software architecture, the burden of first defining the intended architecture falls on the developer's shoulders. This includes definition of valid and invalid dependencies between software components. However, the developers are seldom familiar with the entire software system, which makes this task difficult, time consuming and error-prone. We propose and implement a solution for automatic detection of architectural violations in software artifacts. The solution, which utilizes a number of predefined and user-defined patterns, does not require prior knowledge of the system or its intended architecture. We propose to leverage this solution as part of the nightly build process used by development teams, thus achieving continuous automatic validation of the system's software architecture. As we show in multiple open-source and proprietary cases, a small set of predefined patterns can detect architectural violations as they are introduced over the course of development, and also capture deterioration in existing architectural problems. By evaluating the tool on relatively large open-source projects, we also validate its scalability and practical applicability to large software systems. [ABSTRACT FROM AUTHOR] |
| Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery 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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| Items | – Name: Title Label: Title Group: Ti Data: Automatic and Continuous Software Architecture Validation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Goldstein%2C+Maayan%22">Goldstein, Maayan</searchLink><relatesTo>1</relatesTo><i> maayang@il.ibm.com</i><br /><searchLink fieldCode="AR" term="%22Segall%2C+Itai%22">Segall, Itai</searchLink><relatesTo>1</relatesTo><i> itais@il.ibm.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2015, p59-68. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+software+research%22">Computer software research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+engineering%22">Computer engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Software systems tend to suffer from architectural problems as they are being developed. While modern software development methodologies such as Agile and Dev-Ops suggest different ways of assuring code quality, very little attention is paid to maintaining high quality of the architecture of the evolving systems. By detecting and alerting about violations of the intended software architecture, one can often avoid code-level bad smells such as spaghetti code. Typically, if one wants to reason about the software architecture, the burden of first defining the intended architecture falls on the developer's shoulders. This includes definition of valid and invalid dependencies between software components. However, the developers are seldom familiar with the entire software system, which makes this task difficult, time consuming and error-prone. We propose and implement a solution for automatic detection of architectural violations in software artifacts. The solution, which utilizes a number of predefined and user-defined patterns, does not require prior knowledge of the system or its intended architecture. We propose to leverage this solution as part of the nightly build process used by development teams, thus achieving continuous automatic validation of the system's software architecture. As we show in multiple open-source and proprietary cases, a small set of predefined patterns can detect architectural violations as they are introduced over the course of development, and also capture deterioration in existing architectural problems. By evaluating the tool on relatively large open-source projects, we also validate its scalability and practical applicability to large software systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery 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: 10.1109/ICSE.2015.135 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 59 Subjects: – SubjectFull: Computer software research Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Computer architecture Type: general – SubjectFull: Software architecture Type: general – SubjectFull: Computer engineering Type: general Titles: – TitleFull: Automatic and Continuous Software Architecture Validation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Goldstein, Maayan – PersonEntity: Name: NameFull: Segall, Itai IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2015 Type: published Y: 2015 Titles: – TitleFull: ICSE: International Conference on Software Engineering Type: main |
| ResultId | 1 |
