In this paper, we try to build fault prediction models aiming for Web applications after analyzing major characteristics which may impact on their quality. The ...
Such models can be utilized to raise the effectiveness of software testing activities and reduce project risks. Although current fault prediction models can be ...
Nov 28, 2024 · Defect prediction models use historical patterns and code complexity metrics to assess new code sections, identifying those with a higher risk ...
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Effective defect prediction is an important topic in software engineering. This paper studies multiple defect prediction models and proposes a defect prediction ...
Aug 28, 2013 · I want to do my PhD research work in the field of software fault prediction. As I have gone through the earlier work, I found that since the ...
Software Fault Prediction Using FeatBoost Feature Selection ...
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Various techniques and tools have been developed to detect software faults, including static code analysis, dynamic testing, and machine learning-based ...
Sep 4, 2024 · Software Fault Prediction is a critical domain in machine learning aimed at pre-emptively identifying and mitigating software faults.
This study is an attempt to determine whether these predictions can be made by applying neural networks to predict faults in several National Aeronautics and ...
Jun 30, 2023 · This research article proposes a software defect prediction (SDP) model based on new object-oriented features using the best-suited machine ...
This book focuses on exploring the use of software fault prediction in building reliable and robust software systems and its different components.