A hybrid heuristic approach to optimize rule-based software quality estimation models
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| Title: | A hybrid heuristic approach to optimize rule-based software quality estimation models |
|---|---|
| Authors: | Azar, D.1, Harmanani, H. haidar@acm.org, Korkmaz, R.1 |
| Source: | Information & Software Technology. Sep2009, Vol. 51 Issue 9, p1365-1376. 12p. |
| Subjects: | Computer software quality control, Heuristic programming, Estimation theory, Computer software development, Technical specifications, Soft computing, Software engineering, Mathematical models |
| Abstract: | Abstract: Software quality is defined as the degree to which a software component or system meets specified requirements and specifications. Assessing software quality in the early stages of design and development is crucial as it helps reduce effort, time and money. However, the task is difficult since most software quality characteristics (such as maintainability, reliability and reusability) cannot be directly and objectively measured before the software product is deployed and used for a certain period of time. Nonetheless, these software quality characteristics can be predicted from other measurable software quality attributes such as complexity and inheritance. Many metrics have been proposed for this purpose. In this context, we speak of estimating software quality characteristics from measurable attributes. For this purpose, software quality estimation models have been widely used. These take different forms: statistical models, rule-based models and decision trees. However, data used to build such models is scarce in the domain of software quality. As a result, the accuracy of the built estimation models deteriorates when they are used to predict the quality of new software components. In this paper, we propose a search-based software engineering approach to improve the prediction accuracy of software quality estimation models by adapting them to new unseen software products. The method has been implemented and favorable result comparisons are reported in this work. [Copyright &y& Elsevier] |
| Copyright of Information & Software Technology is the property of Elsevier B.V. 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 43032562 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A hybrid heuristic approach to optimize rule-based software quality estimation models – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Azar%2C+D%2E%22">Azar, D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Harmanani%2C+H%2E%22">Harmanani, H.</searchLink><i> haidar@acm.org</i><br /><searchLink fieldCode="AR" term="%22Korkmaz%2C+R%2E%22">Korkmaz, R.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Information+%26+Software+Technology%22">Information & Software Technology</searchLink>. Sep2009, Vol. 51 Issue 9, p1365-1376. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+software+quality+control%22">Computer software quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+programming%22">Heuristic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Technical+specifications%22">Technical specifications</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+computing%22">Soft computing</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Software quality is defined as the degree to which a software component or system meets specified requirements and specifications. Assessing software quality in the early stages of design and development is crucial as it helps reduce effort, time and money. However, the task is difficult since most software quality characteristics (such as maintainability, reliability and reusability) cannot be directly and objectively measured before the software product is deployed and used for a certain period of time. Nonetheless, these software quality characteristics can be predicted from other measurable software quality attributes such as complexity and inheritance. Many metrics have been proposed for this purpose. In this context, we speak of estimating software quality characteristics from measurable attributes. For this purpose, software quality estimation models have been widely used. These take different forms: statistical models, rule-based models and decision trees. However, data used to build such models is scarce in the domain of software quality. As a result, the accuracy of the built estimation models deteriorates when they are used to predict the quality of new software components. In this paper, we propose a search-based software engineering approach to improve the prediction accuracy of software quality estimation models by adapting them to new unseen software products. The method has been implemented and favorable result comparisons are reported in this work. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Information & Software Technology is the property of Elsevier B.V. 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: 10.1016/j.infsof.2009.05.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1365 Subjects: – SubjectFull: Computer software quality control Type: general – SubjectFull: Heuristic programming Type: general – SubjectFull: Estimation theory Type: general – SubjectFull: Computer software development Type: general – SubjectFull: Technical specifications Type: general – SubjectFull: Soft computing Type: general – SubjectFull: Software engineering Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: A hybrid heuristic approach to optimize rule-based software quality estimation models Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Azar, D. – PersonEntity: Name: NameFull: Harmanani, H. – PersonEntity: Name: NameFull: Korkmaz, R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 09505849 Numbering: – Type: volume Value: 51 – Type: issue Value: 9 Titles: – TitleFull: Information & Software Technology Type: main |
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