Research output per year
Research output per year
Mitchell Olsthoorn, Pouria Derakhshanfar, Xavier Devroey
Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Model seeding is a strategy for injecting additional information in a search-based test generation process in the form of models, representing usages of the classes of the software under test. These models are used during the search-process to generate logical sequences of calls whenever an instance of a specific class is required. Model seeding was originally proposed for search-based crash reproduction. We adapted it to unit test generation using EvoSuite and applied it to Gson, a Java library to convert Java objects from and to JSON. Although our study shows mixed results, it identifies potential future research directions.
Original language | English |
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Title of host publication | Search-Based Software Engineering - 12th International Symposium, SSBSE 2020, Proceedings |
Editors | Aldeida Aleti, Annibale Panichella |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 239-245 |
Number of pages | 7 |
ISBN (Print) | 9783030597610 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | 12th International Symposium on Search-Based Software Engineering, SSBSE 2020 - Bari, Italy Duration: 7 Oct 2020 → 8 Oct 2020 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12420 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 12th International Symposium on Search-Based Software Engineering, SSBSE 2020 |
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Country/Territory | Italy |
City | Bari |
Period | 7/10/20 → 8/10/20 |
Research output: Non-textual form › Software
Derakhshanfar, P. (Creator), Olsthoorn, M. (Creator) & Devroey, X. (Creator), Zenodo, 28 Jul 2020
Dataset