An empirical evaluation of regression testing based on fix-cache recommendations

In English Background: The fix-cache approach to regression
test selection was proposed to identify the most fault-prone files
and corresponding test cases through analysis of fixed defect
reports. Aim: The study aims at evaluating the efficiency of
this approach, compared to the previous regression test selection
strategy in a major corporation, developing embedded systems.
Method: We launched a post-hoc case study applying the fix-cache
selection method during six iterations of development of a multi-
million LOC product. The test case execution was monitored
through the test management and defect reporting systems of
the company. Results: From the observations, we conclude that
the fix-cache method is more efficient in four iterations. The
difference is statistically significant at α = 0.05. Conclusions:
The new method is significantly more efficient in our case study.
The study will be replicated in an environment with better control
of the test execution.efficiency of the regression testing based on these recommen-
dations has not been evaluated earlier.