LIPS vs MOSA

A replicated empirical study on automated test case generation

Conference Paper (2017)
Author(s)

Annibale Panichella (Université du Luxembourg)

Fitsum M. Kifetew (Fondazione Bruno Kessler)

Paolo Tonella (Fondazione Bruno Kessler)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1007/978-3-319-66299-2_6
More Info
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Publication Year
2017
Language
English
Affiliation
External organisation
Volume number
10452 LNCS
Pages (from-to)
83-98
ISBN (print)
9783319662985

Abstract

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.

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