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|Title: ||Mutation testing on an object-oriented framework: An experience report|
|Authors: ||Segura, S|
|Keywords: ||Mutation testing|
Test data generation
|Publication Date: ||2011|
|Citation: ||Information and Software Technology 53(10): 1124 - 1136, Oct 2011|
The increasing presence of Object-Oriented (OO) programs in industrial systems is progressively drawing the attention of mutation researchers toward this paradigm. However, while the number of research contributions in this topic is plentiful, the number of empirical results is still marginal and mostly provided by researchers rather than practitioners.
This article reports our experience using mutation testing to measure the effectiveness of an automated test data generator from a user perspective.
In our study, we applied both traditional and class-level mutation operators to FaMa, an open source Java framework currently being used for research and commercial purposes. We also compared and contrasted our results with the data obtained from some motivating faults found in the literature and two real tools for the analysis of feature models, FaMa and SPLOT.
Our results are summarized in a number of lessons learned supporting previous isolated results as well as new findings that hopefully will motivate further research in the field.
We conclude that mutation testing is an effective and affordable technique to measure the effectiveness of test mechanisms in OO systems. We found, however, several practical limitations in current tool support that should be addressed to facilitate the work of testers. We also missed specific techniques and tools to apply mutation testing at the system level.|
|Description: ||This is the preprint version of the article - Copyright @ 2011 Elsevier|
|Sponsorship: ||This work has been partially supported by the European Commission (FEDER) and Spanish Government under CICYT Project SETI (TIN2009-07366) and the Andalusian Government Projects ISABEL (TIC-2533) and THEOS (TIC-5906).|
|Appears in Collections:||Publications|
Dept of Computer Science Research Papers
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