Investigating the performance of personalized models for software defect prediction-Reference-Cited by-同舟云学术

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Investigating the performance of personalized models for software defect prediction

Published:2021-11 Issue: Volume:181 Page:111038
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Eken Beyza^ORCID,Tosun Ayse

Funder

Istanbul Teknik Üniversitesi

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference81 articles.

1. Recommender Systems, Vol. 1;Aggarwal,2016

2. Predicting fault-prone components in a java legacy system;Arisholm,2006

3. Dimensions and metrics for evaluating recommendation systems;Avazpour,2014

4. On the time-based conclusion stability of software defect prediction models;Bangash,2019

5. The limited impact of individual developer data on software defect prediction;Bell;Empir. Softw. Eng.,2013

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3. Software Reliability Analysis by Using the Bidirectional Attention Based Zeiler-Fergus Convolutional Neural Network;Neural Network World;2024

4. Enhanced Deep Learning Approach for Software Defect Forecasting;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

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