… We start with GIB [2], a module-level RTS tool, and Ekstazi [15], a class-level RTS tool. We
… An extensive study of static regression test selection in modern software evolution. In FSE, …

… One can envision a strategy based on static analysis of the … at test selection as a problem
of learning a classifier, which, given a code change and a test, says how likely is it that the test …

… ]: 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 …

… 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 …

… 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 …

… areas, both test-suite reduction and regression test selection … These two pieces of work
witness the beginning of test-case … [170] presented a static analysis approach to prioritizing test …

… 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 …

… of the literature reviews comprising the starting set for search in … the effectiveness of a
regression test selection technique in … , first, several static and dynamic approaches exist to link …

… I’ve learned a great deal about regression analysis and related topics in statistics, and some
of … Like an ordinary start, γ for the Hawkins–Weisberg family can be selected arbitrarily, or it …

… We start by introducing the first TSER benchmarking archive, which we have assembled …
Traditionally in ML, the features used for regression are static and have no relation to time. For …