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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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Hypothesis testing for varying coefficient models in tail index regression
This study examines the varying coefficient model in tail index regression. The varying coefficient model is an efficient semiparametric model that...
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Sequential hypothesis testing for selecting the number of changepoints in segmented regression models
Segmented regression is widely used in many disciplines, especially when dealing with environmental data. This paper deals with the problem of...
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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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Estimation and testing of kink regression model with endogenous regressors
Kink regression model which assumes continuity at the threshold point has wide applications in statistics and economics. Existing estimation methods...
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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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Statistical inference and large-scale multiple testing for high-dimensional regression models
This paper presents a selective survey of recent developments in statistical inference and multiple testing for high-dimensional regression models,...
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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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Hypothesis testing for points of impact in functional linear regression
Recently, there has been increased interest in issues related to functional linear regression models with points of impact. While the estimation of...
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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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Test Suite Minimization for Regression Testing Using Keyword Match Technique
Regression testing is a crucial phase of the testing practice as it ensures stability and functionality of the system. It repeats test cases from the...
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Applying High-Quality Test Case Management Mechanisms to Improve Regression Testing Speed and Quality
Regression testing takes an important task in DevOps, agile software development, and software maintenance workflow. To ensure requirements quality...
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Regression Testing Measurement Model to Improve CI/CD Process Quality and Speed
Regression testing is a necessary and important activity for software maintenance and CI/CD process. Regression testing is responsible for the...
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Association Testing for High-Dimensional Multiple Response Regression
Multiple response regression model is commonly employed to investigate the relationship between multiple outcomes and a set of potential predictors,...
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A difference-based method for testing no effect in nonparametric regression
The paper proposes a novel difference-based method for testing the hypothesis of no relationship between the dependent and independent variables. We...
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Logistic Regression
Binary responses are common in clinical medicine. In this chapter, we will study a model for binary or binomial response. This model focuses on the...
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Testing for linearity in scalar-on-function regression with responses missing at random
A goodness-of-fit test for the Functional Linear Model with Scalar Response (FLMSR) with responses Missing at Random (MAR) is proposed in this paper....
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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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On the validity of the bootstrap hypothesis testing in functional linear regression
We consider a functional linear regression model with functional predictor and scalar response. For this model, a procedure to test the slope...
