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software defect prediction using regression via classification

Software Defect Prediction Using Regression via Classification. Bibi S., Ts...

📦 .zip⚖️ 99.7 MB📅 16 Oct 2025

Software Defect Prediction Using Regression via Classification. Bibi S., Tsoumakas G., Stamelos I., Vlahavas I. Department of Informatics, Aristotle University of.

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Abstract In this paper we apply a machine,learning approach to the problem,...

📦 .zip⚖️ 39.2 MB📅 03 Oct 2025

Abstract In this paper we apply a machine,learning approach to the problem,of estimating the number,of defects called Regression,via,Classification (RvC).

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Software Defect Prediction Using Regression via Classification. Published i...

📦 .zip⚖️ 40.3 MB📅 20 Mar 2026

Software Defect Prediction Using Regression via Classification. Published in: Computer Systems and Applications, IEEE International Conference on.

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Software Defect Prediction Using Regression via Classification, Article. Bi...

📦 .zip⚖️ 32.4 MB📅 06 Nov 2025

Software Defect Prediction Using Regression via Classification, Article. Bibliometrics Data Bibliometrics. · Downloads (6 Weeks): 0.

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We use several classification algorithms for the implemen- tation of the Rv...

📦 .zip⚖️ 114.4 MB📅 14 Dec 2025

We use several classification algorithms for the implemen- tation of the RvC framework and we assess their efficiency for the task of software defect prediction.

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In this paper we apply a machine learning approach to the problem of estima...

📦 .zip⚖️ 54.1 MB📅 25 Feb 2026

In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially.

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for different data set. Keywords: Software defect prediction, classificatio...

📦 .zip⚖️ 57.8 MB📅 30 Aug 2025

for different data set. Keywords: Software defect prediction, classification Algorithm, Cofusion matrix. Regression via classification.

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Software Defect Prediction Using Regression via Classification. In Proceedi...

📦 .zip⚖️ 72.9 MB📅 13 Mar 2026

Software Defect Prediction Using Regression via Classification. In Proceedings of IEEE/ACS International Conference on Computer Systems and Applications.

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Predicting Systems Performance through Requirements Quality Attributes Mode...

📦 .zip⚖️ 72.1 MB📅 29 Mar 2026

Predicting Systems Performance through Requirements Quality Attributes Model I. Vlahavas, “Software Defect Prediction Using Regression via Classification.

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Also Web based GIS platform architecture is discussed along with two I,” So...

📦 .zip⚖️ 52.2 MB📅 29 Apr 2026

Also Web based GIS platform architecture is discussed along with two I,” Software Defect Prediction by Using Regression via Classification” To solve a.

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Software metrics related studies mainly consist of time series prediction, ...

📦 .zip⚖️ 36.2 MB📅 30 Aug 2025

Software metrics related studies mainly consist of time series prediction, defect it is a promising technique through comparison with multivariate linear regression, regression via classification to estimate the number of software defects by.

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KEYWORDS. Software Quality Estimation, Software Metrics, Regression, Neural...

📦 .zip⚖️ 111.8 MB📅 10 Mar 2026

KEYWORDS. Software Quality Estimation, Software Metrics, Regression, Neural Networks, Fuzzy Logic Fenton and Neil [13] reviewed a wide range of defect prediction models, which mostly relied on The first sub-model used 21 defect introduction drivers together with the size of the project to derive via classification.

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Software Defect Prediction Using Regression via Classification. In IEEE Int...

📦 .zip⚖️ 91.6 MB📅 31 Mar 2026

Software Defect Prediction Using Regression via Classification. In IEEE International Conference on Computer Systems and Applications, (pp. –).

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clude that classifier ensembles with decision-making strategies not based o...

📦 .zip⚖️ 90.5 MB📅 23 Feb 2026

clude that classifier ensembles with decision-making strategies not based on majority voting . Many studies of software defect prediction have been performed over the years. . () report that Regression via Classification works well.

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Content Based Image Retrieval System with a Combination of Rough “Regressio...

📦 .zip⚖️ 76.4 MB📅 17 May 2026

Content Based Image Retrieval System with a Combination of Rough “Regression via Classification applied on software defect estimation,” Expert Cukic, and H. Singh, “Robust prediction of faultproneness by random forests,” in Software.

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