TY - GEN
T1 - LIPS vs MOSA
T2 - 9th International Symposium on Search-Based Software Engineering, SSBSE 2017
AU - Panichella, Annibale
AU - Kifetew, Fitsum Meshesha
AU - Tonella, Paolo
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Replication is a fundamental pillar in the construction of scientific knowledge. Test data generation for procedural programs can be tackled using a single-target or a many-objective approach. The proponents of LIPS, a novel single-target test generator, conducted a preliminary empirical study to compare their approach with MOSA, an alternative many-objective test generator. However, their empirical investigation suffers from several external and internal validity threats, does not consider complex programs with many branches and does not include any qualitative analysis to interpret the results. In this paper, we report the results of a replication of the original study designed to address its major limitations and threats to validity. The new findings draw a completely different picture on the pros and cons of single-target vs many-objective approaches to test case generation.
AB - Replication is a fundamental pillar in the construction of scientific knowledge. Test data generation for procedural programs can be tackled using a single-target or a many-objective approach. The proponents of LIPS, a novel single-target test generator, conducted a preliminary empirical study to compare their approach with MOSA, an alternative many-objective test generator. However, their empirical investigation suffers from several external and internal validity threats, does not consider complex programs with many branches and does not include any qualitative analysis to interpret the results. In this paper, we report the results of a replication of the original study designed to address its major limitations and threats to validity. The new findings draw a completely different picture on the pros and cons of single-target vs many-objective approaches to test case generation.
UR - http://www.scopus.com/inward/record.url?scp=85029353826&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-66299-2_6
DO - 10.1007/978-3-319-66299-2_6
M3 - Conference contribution
AN - SCOPUS:85029353826
SN - 9783319662985
VL - 10452 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 83
EP - 98
BT - Search Based Software Engineering - 9th International Symposium, SSBSE 2017, Proceedings
PB - Springer
Y2 - 9 September 2017 through 11 September 2017
ER -