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Software bug in which features stop working
A software regression is a type of software bug where a feature that has worked before stops working correctly. This may happen after changes are applied
Software_regression
Checking whether changes to software have broken functionality that used to work
and tested software still performs as expected after a change. If not, that would be called a regression. Changes that may require regression testing include
Regression_testing
Set of statistical processes for estimating the relationships among variables
called regressors, predictors, covariates, explanatory variables or features). The most common form of regression analysis is linear regression, in which
Regression_analysis
Checking software against a standard
test. Regression testing focuses on finding defects after a major code change has occurred. Specifically, it seeks to uncover software regressions, as degraded
Software_testing
JavaScript testing framework
Cypress is a frontend test automation tool (framework) for regression testing of web applications including End-to-End (E2E), integration, and unit tests
Cypress_(software)
Topics referred to by the same term
Look up regression, regressions, or régression in Wiktionary, the free dictionary. Regression or regressions may refer to: Regression (film), a 2015 horror
Regression
Inherent flaw in computer instructions
radiation Software defect indicator – Correlative pattern in source code Software regression – Software bug in which features stop working Software rot –
Software_bug
Specialized form of regression analysis, in statistics
In robust statistics, robust regression seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship
Robust_regression
Process of changing installed software to newer versions
installation of the software. Although often intended to upgrade, an update may instead degrade. An update may include unintentional regression problems. In
Software_update
Category of regression analysis
Nonparametric regression is a form of regression analysis where the predictor does not take a predetermined form but is completely constructed using information
Nonparametric_regression
Data and process for mutating a software resource to a desired state
problems, a patch can introduce new problems – a scenario called software regression. In some cases, an update intentionally disables functionality, for
Patch_(computing)
Moving average and polynomial regression method for smoothing data
Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its
Local_regression
test. Regression testing focuses on finding defects after a major code change has occurred. Specifically, it seeks to uncover software regressions, as degraded
Software_testing_tactics
Fixing defects in an engineered system
to eliminate bugs in software programs without causing software regression. In contrast to the general purpose computer software design environment, a
Debugging
Automatic repair of software bugs
automatically generate correct patches to eliminate bugs in software programs without causing software regression. Automatic bug fixing is made according to a specification
Automatic_bug_fixing
regression software (GUI and command line) GNU Octave – programming language very similar to MATLAB with statistical features gretl – gnu regression,
List_of_statistical_software
Type of numerical analysis
In statistics and numerical analysis, isotonic regression or monotonic regression is the technique of fitting a free-form line to a sequence of observations
Isotonic_regression
Statistical modeling technique
Quantile regression is a type of regression analysis used in statistics and econometrics. Whereas the method of least squares estimates the conditional
Quantile_regression
Tendency of software to fail due to external changes or prolonged operation
usability problems. Software regression Software rot Shereshevsky, M.; Crowell, J.; Cukic, B.; Gandikota, V.; Yan Liu (2003). "Software aging and multifractality
Software_aging
Statistical model for a binary dependent variable
combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the parameters of a logistic model
Logistic_regression
Regularization technique for ill-posed problems
Ridge regression (also known as Tikhonov regularization, named for Andrey Tikhonov) is a method of estimating the coefficients of multiple-regression models
Ridge_regression
Statistical method
linear regression models. This simple case reveals a substantial amount about the estimator. These include its relationship to ridge regression and best
Lasso_(statistics)
Technological ability to interact with older technologies
of Xbox games compatible with Xbox 360 ReactOS Shim (computing) Software regression Vendor lock-in Belleflamme, Paul; Peitz, Martin (2010), "Strategies
Backward_compatibility
Models Meta-Analysis Mixed Models Multivariate Proportions Quality Control Regression Analysis Reliability Analysis Repeated Measures ROC Curves Survival Analysis
NCSS_(statistical_software)
Statistical regression method
particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2
Elastic_net_regularization
Statistical package for time-series analysis
RATS, an abbreviation of Regression Analysis of Time Series, is a statistical package for time-series analysis and econometrics. RATS is developed and
RATS_(software)
Technique in statistics
kernel regression (with Matlab software). Tutorial of Kernel regression using spreadsheet (with Microsoft Excel). An online kernel regression demonstration
Kernel_regression
Scientific data analysis software
Heatmap Plot. Validation Reports using NIST data. New Apps for Quantile Regression, 2D Correlation, Isosurface Plot, etc. 2018/10/26 Origin 2019. Data Highlighter
Origin (data analysis software)
Origin_(data_analysis_software)
process Regression analysis – see also linear regression Regression Analysis of Time Series – proprietary software Regression control chart Regression diagnostic
List_of_statistics_articles
American Software development company
2D graphing and statistics software for Windows and Mac OS desktop computers. Software features include nonlinear regression, with functionalities including
GraphPad_Software
Algorithm for the line of best fit for a two-dimensional dataset
data-sources; however the regression procedure takes no account for possible errors in estimating this ratio. The Deming regression is only slightly more
Deming_regression
Type of design interoperability
might be intentional by the designers as a form of vendor lock-in or software regression. For example, a cubicle producer considers changing their cubicle
Forward_compatibility
classification method Linear regression – estimation method for predicting a dependent variable based on independent variables Logistic regression – classification
List_of_data_science_software
Use of purpose-built software to control test execution
place, regression testing can be a relatively quick and easy operation. Instead of a significant outlay of human time and effort, a regression test run
Test_automation
Type of regression analysis
Symbolic regression (SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given
Symbolic_regression
Statistics models class
Zeileis, Achim. "Structured Additive Regression Models: An R Interface to BayesX" (PDF). Journal of Statistical Software. 63 (21): 1–46. Augustin, N.H.; Sauleau
Generalized_additive_model
16-bit microprocessor
space shuttle program in 2011. This decision was made to prevent software regression that might result from upgrading or from switching to imperfect clones
Intel_8086
Statistical tool used in meta-analyses
Meta-regression is a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting
Meta-regression
Concept in statistical mathematics
Segmented regression, also known as piecewise regression or broken-stick regression, is a method in regression analysis in which the independent variable
Segmented_regression
Subset of artificial intelligence
classification and regression. Classification algorithms are used when the outputs are restricted to a limited set of values, while regression algorithms are
Machine_learning
Process in software development
focused on the construction of formal software effort estimation models. The early models were typically based on regression analysis or mathematically derived
Software development effort estimation
Software_development_effort_estimation
Software version that is stable and supported under a long-term or extended contract
flaw occurs in software, it is called a regression. Two ways that a software publisher or maintainer can reduce the risk of regression are to release
Long-term_support
Regression analysis for modeling ordinal data
In statistics, ordinal regression, also called ordinal classification, is a type of regression analysis used for predicting an ordinal variable, i.e.
Ordinal_regression
1987 statistics book by Rousseeuw and Leroy
Robust Regression and Outlier Detection is a book on robust statistics, particularly focusing on the breakdown point of methods for robust regression. It
Robust Regression and Outlier Detection
Robust_Regression_and_Outlier_Detection
Mathematical computing environment
developed commercially by the Canadian software company Maplesoft. The name 'Maple' is a reference to the software's Canadian heritage. Users can enter mathematics
Maple_(software)
Topics referred to by the same term
RATS may refer to: RATS (software), Regression Analysis of Time Series, a statistical package Robot Astronomy Talk Show, an animated educational series
RATS
Topics referred to by the same term
prognostic output from a numerical model Regression validation, in statistics, determining whether the outputs of a regression model are adequate Social validation
Validation
Overview of and topical guide to machine learning
(SOM) Logistic regression Ordinary least squares regression (OLSR) Linear regression Stepwise regression Multivariate adaptive regression splines (MARS)
Outline_of_machine_learning
allocated to that function or subset. Software reliability testing includes feature testing, load testing, and regression testing. Feature testing checks the
Software_reliability_testing
Estimates from regression analysis on data with unit variance
standardized (regression) coefficients, also called beta coefficients or beta weights, are the estimates resulting from a regression analysis where the
Standardized_coefficient
Statistical techniques analyzing facts to make predictions about unknown events
means the model can be fitted with a regression software that will use machine learning to do most of the regression analysis and smoothing. ARIMA models
Predictive_analytics
Simultaneous observation and analysis of more than one outcome variable
problems involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate
Multivariate_statistics
Validating the behavior of isolated source code
software, allowing for effective and consistent regression testing. A test double is software used in software test automation that satisfies a dependency
Unit_testing
system testing, regression testing and acceptance testing are forms of dynamic testing. In contrast to static testing, the software must be runnable
Dynamic_testing
developed and tested software still performs after a change. If not, that would be called a regression. Changes that may require regression testing include
Glossary_of_computer_science
Statistics and graphics software
linear regression and can utilize regressions to build linear models. In addition to linear regression, DAP can also perform logistic regression analysis
DAP_(software)
Set of methods for supervised statistical learning
predictive performance than other linear models, such as logistic regression and linear regression. Classifying data is a common task in machine learning. Suppose
Support_vector_machine
Machine learning algorithm
continuous values (typically real numbers) are called regression trees. More generally, the concept of regression tree can be extended to any kind of object equipped
Decision_tree_learning
Type of software test
In computer programming and software testing, smoke testing (also confidence testing, sanity testing, build verification test (BVT) and build acceptance
Smoke_testing_(software)
open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition
List of free and open-source software packages
List_of_free_and_open-source_software_packages
Statistical software
University re-hired Anthony Barr to program his analysis of variance and regression software so that it would run on IBM System/360 computers. The project was
SAS_(software)
Statistical hypothesis test
the linear regression to the result from the t-test. From the t-test, the difference between the group means is 6-2=4. From the regression, the slope
Student's_t-test
Software
measurement invariance assessment, multigroup analysis, regression analysis, logistic regression, path analysis, PROCESS, confirmatory factor analysis,
SmartPLS
Software engineering
introduced a specific regression was described as "source change isolation" in 1997 by Brian Ness and Viet Ngo of Cray Research. Regression testing was performed
Bisection (software engineering)
Bisection_(software_engineering)
Testing software functionality
hallmark of the continuous integration maturity stage. Regression testing (rarely, non-regression testing) is re-running functional and non-functional tests
Functional_testing
Umbrella term for certain approaches to software development
Agile software development is an umbrella term for approaches to developing software that reflect the values and principles agreed upon by The Agile Alliance
Agile_software_development
Silva. Step 1: Estimate original regression with ordinary least squares and find the sample residuals ei. Step 2: Regress the absolute value |ei| on the
Glejser_test
Python library for machine learning
the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests
Scikit-learn
Asymptotic variances under heteroskedasticity
errors arises in statistics and econometrics in the context of linear regression and time series analysis. These are also known as heteroskedasticity-robust
Heteroskedasticity-consistent standard errors
Heteroskedasticity-consistent_standard_errors
Method for estimating parameters
asset pricing model Standard errors in regression analysis IHS EViews (2014). "Fama-MacBeth Two-Step Regression" (PDF). Fama, Eugene F.; MacBeth, James
Fama–MacBeth_regression
Service offered between electronic devices via the Internet
help of WSDL parsing. Regression testing is performed by identifying the changes made to upgrade software. Web service regression testing needs can be
Web_service
Automated recognition of patterns and regularities in data
Maximum entropy classifier (aka logistic regression, multinomial logistic regression): Note that logistic regression is an algorithm for classification, despite
Pattern_recognition
Computer system for mathematical calculation
Mathcad is computer software for the verification, validation, documentation and re-use of mathematical calculations in engineering and science, notably
Mathcad
Medical statistical method
Passing–Bablok regression is a method from robust statistics for nonparametric regression analysis suitable for method comparison studies introduced by
Passing–Bablok_regression
Within statistical factor analysis, the factor regression model, or hybrid factor model, is a special multivariate model with the following form: y n =
Factor_regression_model
Testing framework for web applications
(software) Given-When-Then List of web testing tools MediaWiki Selenium Regression testing Robot Framework Cypress "Release 4.44.0". May 12, 2026. Retrieved
Selenium_(software)
Class of statistical survival models
itself be described as a regression model. There is a relationship between proportional hazards models and Poisson regression models which is sometimes
Proportional_hazards_model
Open-source data analysis software
learning algorithms for classification Regression: a set of supervised machine learning algorithms for regression Evaluate: cross-validation, sampling-based
Orange_(software)
Application for interactive graphing and analysis of scientific data
program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis. LabPlot is available, under the GPL-2
LabPlot
Open source automation server
Jenkins is an open source automation server. It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous
Jenkins_(software)
Statistical method that summarizes and/or integrates data from multiple sources
have been executed using Bayesian methods, mixed linear models and meta-regression approaches. Specifying a Bayesian network meta-analysis model involves
Meta-analysis
Least-Angle Regression (LARS/LASSO) Linear Regression Bayesian Linear Regression Local Coordinate Coding Locality-Sensitive Hashing (LSH) Logistic regression Max-Kernel
Mlpack
Tangible software development by-product
ensure their changes do not cause regression bugs in the code library. Much of what are considered artifacts is software documentation. In end-user development
Artifact (software development)
Artifact_(software_development)
Suite of machine learning software written in Java
free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand, and is the companion software to
Weka_(software)
Open-source statistical computer software
gretl is computer software, an open-source statistical package, mainly for econometrics. The name is an acronym for Gnu Regression, Econometrics and Time-series
Gretl
Statistical software package
Linear regression: generate wtsq = weight^2 // Create a new variable for weight squared regress mpg weight wtsq foreign, vce(robust) // Linear regression of
Stata
Statistical method for fitting a line
rank correlation coefficient. Theil–Sen regression has several advantages over Ordinary least squares regression. It is insensitive to outliers. It can
Theil–Sen_estimator
Probabilistic programming language for Bayesian inference
Bob Carpenter, Daniel Lee, Ben Goodrich, and others. A simple linear regression model can be described as y n = α + β x n + ϵ n {\displaystyle y_{n}=\alpha
Stan_(software)
This is a list of notable software packages that implement the finite element method for solving partial differential equations. This table is contributed
List of finite element software packages
List_of_finite_element_software_packages
Predictive chemical model
(QSAR) models are regression or classification models used in the chemical and biological sciences and engineering. In QSAR regression models relate a set
Quantitative structure–activity relationship
Quantitative_structure–activity_relationship
information for many statistical analysis software packages. Support for various ANOVA methods Support for various regression methods. Support for various time
Comparison of statistical packages
Comparison_of_statistical_packages
Measure of linear correlation
Standardized covariance Standardized slope of the regression line Geometric mean of the two regression slopes Square root of the ratio of two variances
Pearson correlation coefficient
Pearson_correlation_coefficient
Process of analyzing large data sets
methods of identifying patterns in data include Bayes' theorem (1700s) and regression analysis (1800s). The proliferation, ubiquity and increasing power of
Data_mining
as well as non-linear regression, logistic regression, and multivariate statistics. Survival analysis includes Cox regression (Proportional hazards model)
MedCalc
Class of statistical models
(GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be related to the
Generalized_linear_model
Open source platform
gradient boosting and deep learning are implemented for classification and regression tasks. Unsupervised learning: including K-Means clustering and principal
H2O_(software)
Computational software program
Wolfram Mathematica (also known as Mathematica) is a software system with built-in libraries for several areas of technical computing that allows machine
Wolfram_Mathematica
Modification of software after delivery
the need to revalidate the entire software if any changes are made. Revalidation may include code review, regression testing with a subset of unit tests
Software_maintenance
game. Also, regression analysis assigns a "weight" to each factors that identifies how much it affects the outcome of the event. Regression analysis has
Sports_betting_systems
Conversational software
A chatbot (originally chatterbot) is a software application or web interface designed to converse through text or speech. Modern chatbots are typically
Chatbot
SOFTWARE REGRESSION
SOFTWARE REGRESSION
SOFTWARE REGRESSION
SOFTWARE REGRESSION
Female
Yiddish
(לִיבֶּע) Yiddish form of German liebe, LIBE means "love." Compare with another form of Libe.
Girl/Female
Hebrew Czechoslovakian Greek
Gift from God.
Boy/Male
Tamil
Another name of the Hindu Lord venkatachalapathy (Tirupathi), A name of Lord Vishnu
Boy/Male
Indian, Sanskrit
Son of Cedi
Male
Croatian
, distant battle.
Boy/Male
Bengali, Hindu, Indian, Kannada, Marathi, Oriya, Tamil, Telugu
Abode of Lord Shiva
Male
Hindi/Indian
(पà¥à¤°à¤¤à¤¾à¤ª) Hindi name PRATAP means "dignity, majesty."
Boy/Male
Hindu, Indian
The Moon
Boy/Male
Muslim
Lion
Boy/Male
Hindu, Indian
Son of Sun
SOFTWARE REGRESSION
SOFTWARE REGRESSION
SOFTWARE REGRESSION
SOFTWARE REGRESSION
SOFTWARE REGRESSION
n.
The act of passing back or returning; retrogression; retrogradation.