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Optimizing regression testing with AHP-TOPSIS metric system for effective technical debt evaluation
Regression testing is essential to ensure that the actual software product confirms the expected requirements following modification. However, it can...
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Test case reduction and SWOA optimization for distributed agile software development using regression testing
Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile...
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Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement
Regression testing is an important activity that aims to provide information about the quality of the software product under test when changes occur....
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A microservice regression testing selection approach based on belief propagation
Regression testing is required to assure the quality of each iteration of microservice systems. Test case selection is one of main techniques to...
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ReSuMo: a regression strategy and tool for mutation testing of solidity smart contracts
Mutation testing is a powerful test adequacy assessment technique that can guarantee the deployment of deeply scrutinized and more reliable Smart...
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Testing a constant mean function using functional regression
In this paper, we study functional ordinary least squares estimator and its properties in testing the hypothesis of a constant zero mean function or...
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Efficient regression testing of distributed real-time reactive systems in the context of model-driven development
Regression testing is indispensable, especially for real-time distributed systems to ensure that existing functionalities are not affected by...
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Regression
First, we explain regression, which is one of machine learning techniques, as a basic method for hypothesis generation. We take scientific examples... -
Search-based fairness testing for regression-based machine learning systems
ContextMachine learning (ML) software systems are permeating many aspects of our life, such as healthcare, transportation, banking, and recruitment....
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Regression Analysis in R: Linear Regression and Logistic Regression
This first chapter of the series of statistical data analysis using R, which the authors provides in this second part (PART II) of the book,... -
ReSuMo: Regression Mutation Testing for Solidity Smart Contracts
Mutation testing is a powerful test adequacy assessment technique that can guarantee the deployment of more reliable Smart Contract code. Developers... -
Hunting bugs: Towards an automated approach to identifying which change caused a bug through regression testing
ContextFinding code changes that introduced bugs is important both for practitioners and researchers, but doing it precisely is a manual,...
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Test case minimization and prioritization for regression testing using SBLA-based adaboost convolutional neural network
The software engineers retain the test cases they create for specific software for future usage. This form of test case reuse is called regression...
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Regression
The regression problem works with pairs of observations \((\vec {x}_1, y_1)\)... -
Does PageRank apply to service ranking in microservice regression testing?
Regression testing is required in each development iteration of microservice systems. Test case prioritization, which improves the fault detection...
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Regression Analysis
In this chapter, we introduce regression analysis andRegression analysis some of its applications in data scienceData science. Regression is related... -
Logistic Regression
In Chapters 7 and 8 , we discussed simple linear regression and... -
Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model
This paper explores how to develop machine learning regression models that are more explainable and transparent for the end-user. Explainable... -
Regression Analysis
Regression is the process of learning relationships between inputs and continuous outputs from data. In this chapter, we will discuss and analyze... -
Evolutionary Regression and Modelling
Regression and modelling, which identify the relationship between the dependent and independent variables, play an important role in knowledge...