A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation

By Shaukat Ali, Lionel Claude Briand, Hadi Hemmati, Rajwinder Kaur Panesar-Walawege. IEEE Transactions on Software Engineering, 2010

498 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/69c146c3ea8af1bf8b1d95ec17bf32d9ca27cca8

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Citations in the corpus

Parameter tuning or default values? An empirical investigation in search-based software engineering (2013, background): “99] – Number of Mutations: [1, 10] – Max Initial Number of Tests: [1, 10]”
Mutation-Driven Generation of Unit Tests and Oracles (2010, methodology): “Metaheuristic search techniques have been used as an alternative to symbolic execution-based approaches and can be applied to stateless and stateful programs [1], [29] as well as object-oriented container classes [8], [46], [48].”
Search-based software engineering: Trends, techniques and applications (2012, unknown): “The Pareto fronts were not produced using multiobjective optimization techniques (as with more recent work by Jalali et al. [2008]), but were produced using the iterative application of a”
A practical guide for using statistical tests to assess randomized algorithms in software engineering (2011, methodology): “[3] have recently carried out a systematic review of search-based software testing which includes some limited”
Higher Order Mutation Testing (2009, methodology): “Reaching all mutants of a program can be achieved by any branch adequate test set, so reachability is an instance of branch coverage, which is widely studied in literature [10, 111, 123, 241].”
An orchestrated survey of methodologies for automated software test case generation (2013, background): “There are several surveys of these aspects of SBST (Afzal et al., 2009; Ali et al., 2010; Harman et al., 2009; McMinn, 2004, 2011).”
A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering (2014, methodology): “Furthermore, that review is only used as a motivation for providing practical guidelines, and its results are in line with other larger systematic reviews [3, 63].”
Search Based Software Engineering: Techniques, Taxonomy, Tutorial (2010, background): “[4] sets out useful guidelines relevant to SBSE.”