Managing Non-functional Uncertainty via Model-Driven Adaptivity.
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| Title: | Managing Non-functional Uncertainty via Model-Driven Adaptivity. |
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| Authors: | Ghezzi, Carlo1 ghezzi@elet.polimi.it, Pinto, Leandro Sales1 pinto@elet.polimi.it, Spoletini, Paola2 paola.spoletini@uninsubria.it, Tamburrelli, Giordano1 tamburrelli@elet.polimi.it |
| Source: | ICSE: International Conference on Software Engineering. Feb2013, p33-42. 10p. |
| Subjects: | Adaptive computing systems, Interpreters (Computer programs), Computer software, Software architecture, Computer software development |
| Abstract: | Modern software systems are often characterized by uncertainty and changes in the environment in which they are embedded. Hence, they must be designed as adaptive systems. We propose a framework that supports adaptation to non-functional manifestations of uncertainty. Our framework allows engineers to derive, from an initial model of the system, a finite state automaton augmented with probabilities. The system is then executed by an interpreter that navigates the automaton and invokes the component implementations associated to the states it traverses. The interpreter adapts the execution by choosing among alternative possible paths of the automaton in order to maximize the system's ability to meet its non-functional requirements. To demonstrate the adaptation capabilities of the proposed approach we implemented an adaptive application inspired by an existing worldwide distributed mobile application and we discussed several adaptation scenarios. [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: Managing Non-functional Uncertainty via Model-Driven Adaptivity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ghezzi%2C+Carlo%22">Ghezzi, Carlo</searchLink><relatesTo>1</relatesTo><i> ghezzi@elet.polimi.it</i><br /><searchLink fieldCode="AR" term="%22Pinto%2C+Leandro+Sales%22">Pinto, Leandro Sales</searchLink><relatesTo>1</relatesTo><i> pinto@elet.polimi.it</i><br /><searchLink fieldCode="AR" term="%22Spoletini%2C+Paola%22">Spoletini, Paola</searchLink><relatesTo>2</relatesTo><i> paola.spoletini@uninsubria.it</i><br /><searchLink fieldCode="AR" term="%22Tamburrelli%2C+Giordano%22">Tamburrelli, Giordano</searchLink><relatesTo>1</relatesTo><i> tamburrelli@elet.polimi.it</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>. Feb2013, p33-42. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Adaptive+computing+systems%22">Adaptive computing systems</searchLink><br /><searchLink fieldCode="DE" term="%22Interpreters+%28Computer+programs%29%22">Interpreters (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Modern software systems are often characterized by uncertainty and changes in the environment in which they are embedded. Hence, they must be designed as adaptive systems. We propose a framework that supports adaptation to non-functional manifestations of uncertainty. Our framework allows engineers to derive, from an initial model of the system, a finite state automaton augmented with probabilities. The system is then executed by an interpreter that navigates the automaton and invokes the component implementations associated to the states it traverses. The interpreter adapts the execution by choosing among alternative possible paths of the automaton in order to maximize the system's ability to meet its non-functional requirements. To demonstrate the adaptation capabilities of the proposed approach we implemented an adaptive application inspired by an existing worldwide distributed mobile application and we discussed several adaptation scenarios. [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: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 33 Subjects: – SubjectFull: Adaptive computing systems Type: general – SubjectFull: Interpreters (Computer programs) Type: general – SubjectFull: Computer software Type: general – SubjectFull: Software architecture Type: general – SubjectFull: Computer software development Type: general Titles: – TitleFull: Managing Non-functional Uncertainty via Model-Driven Adaptivity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ghezzi, Carlo – PersonEntity: Name: NameFull: Pinto, Leandro Sales – PersonEntity: Name: NameFull: Spoletini, Paola – PersonEntity: Name: NameFull: Tamburrelli, Giordano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2013 Type: published Y: 2013 Titles: – TitleFull: ICSE: International Conference on Software Engineering Type: main |
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