article

Evaluating predictive quality models derived from software measures: lessons learned

Authors:

Filippo Lanubile,

Giuseppe VisaggioAuthors Info & Claims

Journal of Systems and Software, Volume 38, Issue 3

Pages 225 - 234

https://doi.org/10.1016/S0164-1212(96)00153-7

Published: 01 September 1997 Publication History

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(2019)Empirical investigation of dimension hierarchy sharing-based metrics for multidimensional schema understandabilityInternational Journal of Intelligent Engineering Informatics10.5555/3337636.33376387:2-3(141-163)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3337636.3337638
Zuilhof Bvan Hees RGrelck C(2019)Code Quality Metrics for Functional Features in Modern Object-Oriented LanguagesComposability, Comprehensibility and Correctness of Working Software10.1007/978-3-031-42833-3_10(358-374)Online publication date: 17-Jun-2019
https://dl.acm.org/doi/10.1007/978-3-031-42833-3_10
Gosain ASingh J(2018)Investigating structural metrics for understandability prediction of data warehouse multidimensional schemas using machine learning techniquesInnovations in Systems and Software Engineering10.1007/s11334-017-0308-z14:1(59-80)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s11334-017-0308-z
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Evaluating predictive quality models derived from software measures: lessons learned

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The prediction of fault-prone modules in a large software system is an important part in software evolution. Since prediction models in past studies have been constructed and used for individual systems, it has not been practically investigated whether ...

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cover image Journal of Systems and Software

Journal of Systems and Software Volume 38, Issue 3

Sept. 1997

80 pages

ISSN:0164-1212

Editor:
Robert L. Glass
Computing Trends, Bloomington, IN

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Elsevier Science Inc.

United States

Publication History

Published: 01 September 1997

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(2019)Empirical investigation of dimension hierarchy sharing-based metrics for multidimensional schema understandabilityInternational Journal of Intelligent Engineering Informatics10.5555/3337636.33376387:2-3(141-163)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3337636.3337638
Zuilhof Bvan Hees RGrelck C(2019)Code Quality Metrics for Functional Features in Modern Object-Oriented LanguagesComposability, Comprehensibility and Correctness of Working Software10.1007/978-3-031-42833-3_10(358-374)Online publication date: 17-Jun-2019
https://dl.acm.org/doi/10.1007/978-3-031-42833-3_10
Gosain ASingh J(2018)Investigating structural metrics for understandability prediction of data warehouse multidimensional schemas using machine learning techniquesInnovations in Systems and Software Engineering10.1007/s11334-017-0308-z14:1(59-80)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s11334-017-0308-z
Park BOh SPedrycz W(2013)The design of polynomial function-based neural network predictors for detection of software defectsInformation Sciences: an International Journal10.1016/j.ins.2011.01.026229(40-57)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1016/j.ins.2011.01.026
Afzal WTorkar R(2011)ReviewExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.03.04138:9(11984-11997)Online publication date: 1-Sep-2011
https://dl.acm.org/doi/10.1016/j.eswa.2011.03.041
Kirk DMacDonell STempero EArora SBruegge BLeavens GCoady YPeyton-Jones S(2009)Modelling software processesProceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications10.1145/1639950.1640061(941-948)Online publication date: 25-Oct-2009
https://dl.acm.org/doi/10.1145/1639950.1640061
Moser RPedrycz WSucci GSchäfer WDwyer MGruhn V(2008)A comparative analysis of the efficiency of change metrics and static code attributes for defect predictionProceedings of the 30th international conference on Software engineering10.1145/1368088.1368114(181-190)Online publication date: 15-May-2008
https://dl.acm.org/doi/10.1145/1368088.1368114
Padberg FRagg TSchoknecht R(2004)Using Machine Learning for Estimating the Defect Content After an InspectionIEEE Transactions on Software Engineering10.1109/TSE.2004.126573330:1(17-28)Online publication date: 1-Jan-2004
https://dl.acm.org/doi/10.1109/TSE.2004.1265733
El-Emam K(2002)Object-oriented metricsAdvances in software engineering10.5555/505630.505632(23-50)Online publication date: 1-Jan-2002
https://dl.acm.org/doi/10.5555/505630.505632
El Emam KBenlarbi SGoel NRai S(2001)The Confounding Effect of Class Size on the Validity of Object-Oriented MetricsIEEE Transactions on Software Engineering10.1109/32.93585527:7(630-650)Online publication date: 1-Jul-2001
https://dl.acm.org/doi/10.1109/32.935855
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Object-oriented runtime software quality analysis

Dynamic cohesion measures for object-oriented software

Evaluating the applicability of reliability prediction models between different software

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