As mentioned in , all the six selected Pareto-based search algorithms and the eight quality indicators are implemented
based on jMetal . The source codes related with the six Pareto-based search algorithms and eight quality indicators
can be downloaded from jMetal’s website .
Due to the confidential issues from our industrial partners, we cannot share the original data for the industrial case studies
(e.g., test case id, fault detection capability value for each test case, requirement description and stakeholder
familiarity). But we provide the data (objective function values) by running the six Pareto-based search algorithms
100 times for each industrial problem (as mentioned in Figure 2 in the paper). Thus, for each case study (9 in
toal for the three indsutiral problems), 100 files are included for each algorithm and each file consists of
the data related with the values of the defined objectives for each run.
Download The data related with Test Suite Minimization
Download The data related with Test Case Prioritization
Download The data related with Requirement Allocation
 jMetal: Metaheuristic Algorithms in Java
 S. Wang, S. Ali, T. Tue, Y. Li, and M. Liaaen. A Practical Guide to Select Quality Indicators for Assessing Pareto-Based Search Algorithms in Search-Based Software Engineering. In the 38th International Conference on Software Engineering (ICSE). pp. 631-642, 2016.