An Empirical Study on Software Test Effort Estimation for Defense Projects
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between s...
Ausführliche Beschreibung
Autor*in: |
Esra Cibir [verfasserIn] Tulin Ercelebi Ayyildiz [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2022 |
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In: IEEE Access - IEEE, 2014, 10(2022), Seite 48082-48087 |
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Übergeordnetes Werk: |
volume:10 ; year:2022 ; pages:48082-48087 |
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DOI / URN: |
10.1109/ACCESS.2022.3172326 |
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Katalog-ID: |
DOAJ028059263 |
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10.1109/ACCESS.2022.3172326 doi (DE-627)DOAJ028059263 (DE-599)DOAJbf682030ddf54ddab50469da7a11cd87 DE-627 ger DE-627 rakwb eng TK1-9971 Esra Cibir verfasserin aut An Empirical Study on Software Test Effort Estimation for Defense Projects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between software test metrics used in the industry and software testing efforts. A method for estimating the testing effort is proposed using a novel set of software testing metrics that have not been used in any previously proposed software test effort estimation methods. In this study, 15 completed software projects of a CMMI Level-3 certified defense industry company were analyzed. The results of the empirical study show that the proposed method with the given metrics provides acceptable prediction quality, with Pred (0.25) and Pred (0.30) values equal to 0.867. We obtained plausible results and demonstrated that our newly proposed metrics can be safely used for software test effort estimation. Software engineering software measurement software metrics software quality software testing Electrical engineering. Electronics. Nuclear engineering Tulin Ercelebi Ayyildiz verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 48082-48087 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:48082-48087 https://doi.org/10.1109/ACCESS.2022.3172326 kostenfrei https://doaj.org/article/bf682030ddf54ddab50469da7a11cd87 kostenfrei https://ieeexplore.ieee.org/document/9766342/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 48082-48087 |
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10.1109/ACCESS.2022.3172326 doi (DE-627)DOAJ028059263 (DE-599)DOAJbf682030ddf54ddab50469da7a11cd87 DE-627 ger DE-627 rakwb eng TK1-9971 Esra Cibir verfasserin aut An Empirical Study on Software Test Effort Estimation for Defense Projects 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between software test metrics used in the industry and software testing efforts. A method for estimating the testing effort is proposed using a novel set of software testing metrics that have not been used in any previously proposed software test effort estimation methods. In this study, 15 completed software projects of a CMMI Level-3 certified defense industry company were analyzed. The results of the empirical study show that the proposed method with the given metrics provides acceptable prediction quality, with Pred (0.25) and Pred (0.30) values equal to 0.867. We obtained plausible results and demonstrated that our newly proposed metrics can be safely used for software test effort estimation. Software engineering software measurement software metrics software quality software testing Electrical engineering. Electronics. Nuclear engineering Tulin Ercelebi Ayyildiz verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 48082-48087 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:48082-48087 https://doi.org/10.1109/ACCESS.2022.3172326 kostenfrei https://doaj.org/article/bf682030ddf54ddab50469da7a11cd87 kostenfrei https://ieeexplore.ieee.org/document/9766342/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 48082-48087 |
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An Empirical Study on Software Test Effort Estimation for Defense Projects |
abstract |
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between software test metrics used in the industry and software testing efforts. A method for estimating the testing effort is proposed using a novel set of software testing metrics that have not been used in any previously proposed software test effort estimation methods. In this study, 15 completed software projects of a CMMI Level-3 certified defense industry company were analyzed. The results of the empirical study show that the proposed method with the given metrics provides acceptable prediction quality, with Pred (0.25) and Pred (0.30) values equal to 0.867. We obtained plausible results and demonstrated that our newly proposed metrics can be safely used for software test effort estimation. |
abstractGer |
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between software test metrics used in the industry and software testing efforts. A method for estimating the testing effort is proposed using a novel set of software testing metrics that have not been used in any previously proposed software test effort estimation methods. In this study, 15 completed software projects of a CMMI Level-3 certified defense industry company were analyzed. The results of the empirical study show that the proposed method with the given metrics provides acceptable prediction quality, with Pred (0.25) and Pred (0.30) values equal to 0.867. We obtained plausible results and demonstrated that our newly proposed metrics can be safely used for software test effort estimation. |
abstract_unstemmed |
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors. This study aims to investigate the relationships between software test metrics used in the industry and software testing efforts. A method for estimating the testing effort is proposed using a novel set of software testing metrics that have not been used in any previously proposed software test effort estimation methods. In this study, 15 completed software projects of a CMMI Level-3 certified defense industry company were analyzed. The results of the empirical study show that the proposed method with the given metrics provides acceptable prediction quality, with Pred (0.25) and Pred (0.30) values equal to 0.867. We obtained plausible results and demonstrated that our newly proposed metrics can be safely used for software test effort estimation. |
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score |
7.400011 |