Searched for: author%3A%22Derakhshanfar%2C+P.%22
(1 - 10 of 10)
document
Derakhshanfar, P. (author), Devroey, Xavier (author)
Basic Block Coverage (BBC) is a secondary objective for search-based unit test generation techniques relying on the approach level and branch distance to drive the search process. Unlike the approach level and branch distance, which considers only information related to the coverage of explicit branches coming from conditional and loop...
conference paper 2022
document
Derakhshanfar, P. (author), Devroey, Xavier (author), Perrouin, Gilles (author), Zaidman, A.E. (author), van Deursen, A. (author)
This is an extended abstract of the article: Pouria Derakhshanfar, Xavier Devroey, Gilles Perrouin, Andy Zaidman and Arie van Deursen. 2019. Search-based crash reproduction using behavioural model seeding. In: Software Testing, Verification and Reliability (May 2020). http://doi.org/10.1002/stvr.1733.
conference paper 2021
document
Olsthoorn, Mitchell (author), Derakhshanfar, P. (author), Panichella, A. (author)
State-of-the-art search-based approaches for test case generation work at test case level, where tests are represented as sequences of statements. These approaches make use of genetic operators (i.e., mutation and crossover) that create test variants by adding, altering, and removing statements from existing tests. While this encoding schema has...
conference paper 2021
document
Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author)
Search-based techniques have been widely used for white-box test generation. Many of these approaches rely on the approach level and branch distance heuristics to guide the search process and generate test cases with high line and branch coverage. Despite the positive results achieved by these two heuristics, they only use the information...
conference paper 2020
document
Evers, B. (author), Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author)
Various search-based test generation techniques have been proposed to automate the generation of unit tests fulfilling different criteria (e.g., line coverage, branch coverage, mutation score, etc.). Despite several advances made over the years, search-based unit test generation still suffers from a lack of guidance due to the limited amount of...
conference paper 2020
document
Olsthoorn, Mitchell (author), Derakhshanfar, P. (author), Devroey, Xavier (author)
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...
conference paper 2020
document
Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author), van Deursen, A. (author), Panichella, A. (author)
Evolutionary-based crash reproduction techniques aid developers in their debugging practices by generating a test case that reproduces a crash given its stack trace. In these techniques, the search process is typically guided by a single search objective called Crash Distance. Previous studies have shown that current approaches could only...
conference paper 2020
document
Derakhshanfar, P. (author), Devroey, Xavier (author), Zaidman, A.E. (author), van Deursen, A. (author), Panichella, A. (author)
Writing a test case reproducing a reported software crash is a common practice to identify the root cause of an anomaly in the software under test. However, this task is usually labor-intensive and time-taking. Hence, evolutionary intelligence approaches have been successfully applied to assist developers during debugging by generating a test...
conference paper 2020
document
Derakhshanfar, P. (author), Devroey, Xavier (author), Panichella, A. (author), Zaidman, A.E. (author), van Deursen, A. (author)
Approaches for automatic crash reproduction aim to generate test cases that reproduce crashes starting from the crash stack traces. These tests help developers during their debugging practices. One of the most promising techniques in this research field leverages search-based software testing techniques for generating crash reproducing test...
conference paper 2020
document
Soltani, M. (author), Derakhshanfar, P. (author), Panichella, A. (author), Devroey, Xavier (author), Zaidman, A.E. (author), van Deursen, A. (author)
EvoCrash is a recent search-based approach to generate a test case that reproduces reported crashes. The search is guided by a fitness function that uses a weighted sum scalarization to combine three different heuristics: (i) code coverage, (ii) crash coverage and (iii) stack trace similarity. In this study, we propose and investigate two...
conference paper 2018
Searched for: author%3A%22Derakhshanfar%2C+P.%22
(1 - 10 of 10)