An Approach to Software Cost Estimation by Improved - Time Variant Acceleration Coefficient Based PSO.
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| Title: | An Approach to Software Cost Estimation by Improved - Time Variant Acceleration Coefficient Based PSO. |
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| Authors: | BHATIA, PRINCE1 princebhatiamnnit@gmail.com, MISHRA, K. K.1 mishrakrishn@gmail.com, MISRA, A. K.1 akm@mnnit.ac.in |
| Source: | Journal of Multiple-Valued Logic & Soft Computing. 2016, Vol. 27 Issue 1, p63-74. 12p. 3 Charts, 5 Graphs. |
| Subjects: | Computer software costs, Cost analysis, Acceleration (Mechanics), Computer systems, Cost control |
| Abstract: | Software Cost estimation plays an important role in its development. A software cost (effort) estimation error can ruin any software. Number of models already exist that defines relationship between software size (input) and effort (output) ; however still these models fails to estimate the cost of software because of uncertainties, and imprecision associated with it. In this paper the parameters of existing cost estimation model (COCOMO) are tuned using improved Time Varying Acceleration coefficient based PSO and is tested on 10 NASA projects. The experimental results prove that the parameter tuned cost estimation model (COCOMO) has better estimation capabilities as compared to other existing cost estimations models. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Multiple-Valued Logic & Soft Computing is the property of Old City Publishing, Inc. 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 116416573 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Approach to Software Cost Estimation by Improved - Time Variant Acceleration Coefficient Based PSO. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22BHATIA%2C+PRINCE%22">BHATIA, PRINCE</searchLink><relatesTo>1</relatesTo><i> princebhatiamnnit@gmail.com</i><br /><searchLink fieldCode="AR" term="%22MISHRA%2C+K%2E+K%2E%22">MISHRA, K. K.</searchLink><relatesTo>1</relatesTo><i> mishrakrishn@gmail.com</i><br /><searchLink fieldCode="AR" term="%22MISRA%2C+A%2E+K%2E%22">MISRA, A. K.</searchLink><relatesTo>1</relatesTo><i> akm@mnnit.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Multiple-Valued+Logic+%26+Soft+Computing%22">Journal of Multiple-Valued Logic & Soft Computing</searchLink>. 2016, Vol. 27 Issue 1, p63-74. 12p. 3 Charts, 5 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+software+costs%22">Computer software costs</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+analysis%22">Cost analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Acceleration+%28Mechanics%29%22">Acceleration (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+control%22">Cost control</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Software Cost estimation plays an important role in its development. A software cost (effort) estimation error can ruin any software. Number of models already exist that defines relationship between software size (input) and effort (output) ; however still these models fails to estimate the cost of software because of uncertainties, and imprecision associated with it. In this paper the parameters of existing cost estimation model (COCOMO) are tuned using improved Time Varying Acceleration coefficient based PSO and is tested on 10 NASA projects. The experimental results prove that the parameter tuned cost estimation model (COCOMO) has better estimation capabilities as compared to other existing cost estimations models. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Multiple-Valued Logic & Soft Computing is the property of Old City Publishing, Inc. 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: 12 StartPage: 63 Subjects: – SubjectFull: Computer software costs Type: general – SubjectFull: Cost analysis Type: general – SubjectFull: Acceleration (Mechanics) Type: general – SubjectFull: Computer systems Type: general – SubjectFull: Cost control Type: general Titles: – TitleFull: An Approach to Software Cost Estimation by Improved - Time Variant Acceleration Coefficient Based PSO. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: BHATIA, PRINCE – PersonEntity: Name: NameFull: MISHRA, K. K. – PersonEntity: Name: NameFull: MISRA, A. K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 15423980 Numbering: – Type: volume Value: 27 – Type: issue Value: 1 Titles: – TitleFull: Journal of Multiple-Valued Logic & Soft Computing Type: main |
| ResultId | 1 |
