Search Based Software Engineering: Techniques, Taxonomy, Tutorial

By Mark Harman, Phil McMinn, Jerffeson Teixeira de Souza, Shin Yoo. Workshop on Learning from Authoritative Security Experiment Results, 2010

313 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/367a101c220e5af0f02d61068a50fbb43edf4a1d

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Citations in the corpus

The strength of random search on automated program repair (2014, methodology): “Algorithm 1 [21] gives the process of patch generation of GenProg.”
Automated Parameter Optimization of Classification Techniques for Defect Prediction Models (2016, background): “There are many empirical studies in the area of SearchBased Software Engineering (SBSE) [16] that aim to optimize software engineering tasks (e.g., software testing [20]).”
Genetic programming for Reverse Engineering (2013, background): “A more detailed survey of the entire field of SBSE can be found elsewhere [44], while a tutorial introduction is also available [46] that assumes no prior knowledge of computational search techniques.”
Genetic algorithms: theory, genetic operators, solutions, and applications (2023, unknown): “In addition, the GA is utilized in automated cost estimation [65], project planning [65], requirements engineering [63, 65], software design [65, 89] and optimizing source code [65].”
The Impact of Automated Parameter Optimization on Defect Prediction Models (2018, background): “Prior studies in the area of the search-based software engineering show that search algorithms can be used to find useful solution to software engineering problems [45], [46].”
The Oracle Problem in Software Testing: A Survey (2015, methodology): “used SearchBased Software Engineering (SBSE) [84] to search for invariants, guided by mutation testing [153].”
Sapienz: multi-objective automated testing for Android applications (2016, methodology): “Furthermore, since Sapienz and the other techniques use randomised algorithms, it is widely regarded as best practice to perform an inferential statistical analysis of the performance of each algorithm, reporting statistical signiﬁcance and eﬀect size [18,40].”