Automated patch correctness assessment: How far are we?
Test-based automated program repair (APR) has attracted huge attention from both industry
and academia. Despite the significant progress made in recent studies, the overfitting …
and academia. Despite the significant progress made in recent studies, the overfitting …
Efficient and effective feature space exploration for testing deep learning systems
Assessing the quality of Deep Learning (DL) systems is crucial, as they are increasingly
adopted in safety-critical domains. Researchers have proposed several input generation …
adopted in safety-critical domains. Researchers have proposed several input generation …
Memetic algorithms for business analytics and data science: a brief survey
P Moscato, L Mathieson - Business and consumer analytics: new ideas, 2019 - Springer
This chapter reviews applications of Memetic Algorithms in the areas of business analytics
and data science. This approach originates from the need to address optimization problems …
and data science. This approach originates from the need to address optimization problems …
Multiple black hole inspired meta-heuristic searching optimization for combinatorial testing
HNN Al-Sammarraie, DNA Jawawi - Ieee Access, 2020 - ieeexplore.ieee.org
Combinatorial searching-based software testing (CSST) is a challenging optimization
procedure. The achievement of optimal solutions involves a careful formulation of the …
procedure. The achievement of optimal solutions involves a careful formulation of the …
Evosuite at the sbst 2016 tool competition
EvoSuite at the SBST 2016 Tool Competition Page 1 EvoSuite at the SBST 2016 Tool
Competition Gordon Fraser University of Sheffield Sheffield, UK Andrea Arcuri Scienta …
Competition Gordon Fraser University of Sheffield Sheffield, UK Andrea Arcuri Scienta …
Automating performance bottleneck detection using search-based application profiling
D Shen, Q Luo, D Poshyvanyk… - Proceedings of the 2015 …, 2015 - dl.acm.org
Application profiling is an important performance analysis technique, when an application
under test is analyzed dynamically to determine its space and time complexities and the …
under test is analyzed dynamically to determine its space and time complexities and the …
Search-based crash reproduction and its impact on debugging
M Soltani, A Panichella… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Software systems fail. These failures are often reported to issue tracking systems, where
they are prioritized and assigned to responsible developers to be investigated. When …
they are prioritized and assigned to responsible developers to be investigated. When …
Random or genetic algorithm search for object-oriented test suite generation?
Achieving high structural coverage is an important aim in software testing. Several search-
based techniques have proved successful at automatically generating tests that achieve …
based techniques have proved successful at automatically generating tests that achieve …
Memetic algorithms outperform evolutionary algorithms in multimodal optimisation
PTH Nguyen, D Sudholt - Artificial Intelligence, 2020 - Elsevier
Memetic algorithms integrate local search into an evolutionary algorithm to combine the
advantages of rapid exploitation and global optimisation. We provide a rigorous runtime …
advantages of rapid exploitation and global optimisation. We provide a rigorous runtime …
Dependency mining for service resilience at the edge
Edge computing paradigm is prone to failures as it trades reliability against other quality of
service properties such as low latency and geographical prevalence. Therefore, software …
service properties such as low latency and geographical prevalence. Therefore, software …