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Modern code reviews—survey of literature and practice
Background: Modern Code Review (MCR) is a lightweight alternative to traditional code
inspections. While secondary studies on MCR exist, it is ua nknown whether the research …
inspections. While secondary studies on MCR exist, it is ua nknown whether the research …
A systematic literature review and taxonomy of modern code review
Abstract Context: Modern Code Review (MCR) is a widely known practice of software quality
assurance. However, the existing body of knowledge of MCR is currently not understood as …
assurance. However, the existing body of knowledge of MCR is currently not understood as …
Modern code review: a case study at google
Employing lightweight, tool-based code review of code changes (aka modern code review)
has become the norm for a wide variety of open-source and industrial systems. In this paper …
has become the norm for a wide variety of open-source and industrial systems. In this paper …
The impact of class rebalancing techniques on the performance and interpretation of defect prediction models
Defect models that are trained on class imbalanced datasets (ie, the proportion of defective
and clean modules is not equally represented) are highly susceptible to produce inaccurate …
and clean modules is not equally represented) are highly susceptible to produce inaccurate …
The impact of automated parameter optimization on defect prediction models
Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …
configurable parameters that control their characteristics (eg, the number of trees in a …
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 …
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 …
An experience report on defect modelling in practice: Pitfalls and challenges
Over the past decade with the rise of the Mining Software Repositories (MSR) field, the
modelling of defects for large and long-lived systems has become one of the most common …
modelling of defects for large and long-lived systems has become one of the most common …