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A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …
from various teams in planning, execution, and testing. Many software products have high …
Linevul: A transformer-based line-level vulnerability prediction
Software vulnerabilities are prevalent in software systems, causing a variety of problems
including deadlock, information loss, or system failures. Thus, early predictions of software …
including deadlock, information loss, or system failures. Thus, early predictions of software …
A systematic process for mining software repositories: Results from a systematic literature review
M Vidoni - Information and Software Technology, 2022 - Elsevier
Abstract Context: Mining Software Repositories (MSR) is a growing area of Software
Engineering (SE) research. Since their emergence in 2004, many investigations have …
Engineering (SE) research. Since their emergence in 2004, many investigations have …
Deeplinedp: Towards a deep learning approach for line-level defect prediction
C Pornprasit… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Defect prediction is proposed to assist practitioners effectively prioritize limited Software
Quality Assurance (SQA) resources on the most risky files that are likely to have post-release …
Quality Assurance (SQA) resources on the most risky files that are likely to have post-release …
An empirical study of model-agnostic techniques for defect prediction models
Software analytics have empowered software organisations to support a wide range of
improved decision-making and policy-making. However, such predictions made by software …
improved decision-making and policy-making. However, such predictions made by software …
Interpretability application of the Just-in-Time software defect prediction model
Software defect prediction is one of the most active fields in software engineering. Recently,
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
some experts have proposed the Just-in-time Defect Prediction Technology. Just-in-time …
Predicting defective lines using a model-agnostic technique
Defect prediction models are proposed to help a team prioritize the areas of source code
files that need Software Quality Assurance (SQA) based on the likelihood of having defects …
files that need Software Quality Assurance (SQA) based on the likelihood of having defects …
Pyexplainer: Explaining the predictions of just-in-time defect models
Just-In-Time (JIT) defect prediction (ie, an AI/ML model to predict defect-introducing
commits) is proposed to help developers prioritize their limited Software Quality Assurance …
commits) is proposed to help developers prioritize their limited Software Quality Assurance …
Practitioners' perceptions of the goals and visual explanations of defect prediction models
Software defect prediction models are classifiers that are constructed from historical software
data. Such software defect prediction models have been proposed to help developers …
data. Such software defect prediction models have been proposed to help developers …
Understanding machine learning software defect predictions
Software defects are well-known in software development and might cause several
problems for users and developers aside. As a result, researches employed distinct …
problems for users and developers aside. As a result, researches employed distinct …