J. Bible and G. Rothermel. A unifying framework supporting the analysis and development of safe regression test selection techniques. Technical Report 99-6011, Oregon State University, Dec. 1999.

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Regression Test Selection for Java Software - Harrold (2001)   (11 citations)  (Correct)

....After all test cases have been run, the coverage information is compiled into a coverage matrix that associates each t in T with the entities that it executes. In addition to computing coverage information, these techniques compare P and P # , and identify in P a set of dangerous entities [4]. We define P(i) as the execution of P with input i.Adangerous entity is a program entity e such that for each input i causing P to cover e, P(i) and P # (i) may behave di#erently due to di#erences between P and P # . 1 The technique ensures that any test case that does not cover a dangerous ....

.... CFGs for P # ; whenever the targets of like labeled CFG edges in P and P# di#er, the edge is added 1 Although an entity is not dangerous in itself, and the term a#ected (by a change) may be more appropriate, we use the term dangerous entity to be consistent with the terminology used in Reference [4]. 2 In a control flow graph, nodes represent program statements and edges represent the flow of control between the statements. to the set of dangerous entities. To illustrate, consider Figure 1, which shows an example program avg and its control flow graph (left) and a modified version avg # ....

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J. Bible and G. Rothermel. A unifying framework supporting the analysis and development of safe regression test selection techniques. Technical Report 99-6011, Oregon State University, Dec. 1999.

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