… ]: in contrast, static approaches use program analysis to identify … , this work adopts a static
approach to test selection at class-… to blackbox prioritization starting from test cases and failure …

… We evaluate 6 test selection algorithms that select tests … 12 enhanced regression testing
algorithms, we start with firstVer … static code analysis, system models, history of known faults, and …

… considers both vertices and paths along the edges while static structure coverage only
considers vertices. … Before starting our experiments we use unit testing to eliminate buggy …

… Unlike static regression analyses that provide a momentary prediction, ML algorithms are …
As the implementation of “advanced analytics” in professional hockey begins to become …

… To start with, we compare the first sequence of requests in the first network log with the
first … RESTler [12] is a recent tool that performs a lightweight static analysis of a Swagger …

… assurance activities, including regression testing, which is the … promising results in test
selection and prioritization [53]. … Regarding offline training, at the beginning, we train the agent …

… start refers to the starting year of the analysis and, finally, the variable of end refers to the
last year of the analysis… , while studies employing static panel or static time series estimation …

… tests plague regression testing in Continuous Integration environments by slowing down
change releases and wasting testing … dently say that FLAST opens a novel interesting avenue …

… strong evidence that static detection of flaky tests is effective. … Regression testing is an
important practice in software develop… To answer this question, we started by extracting test cases …

… The findings of fixed-effect panel quantile regression analysis clearly explain that the effects
of all the selected components of EG are heterogeneous along the quantiles. The effect of …