Search Based Software Engineering: A Comprehensive Analysis and Review of Trends Techniques and Applications

307 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering (2014, methodology): “Furthermore, there is a large body of work on the application of search algorithms in software engineering [57], as for example Genetic Algo-32 rithms.”
Parameter tuning or default values? An empirical investigation in search-based software engineering (2013, methodology): “Many software engineering tasks can be addressed with search algorithms [19], and most work in SBSE can be affected by tuning.”
A practical guide for using statistical tests to assess randomized algorithms in software engineering (2011, methodology): “This choice was motivated by the fact that half the publications in search-based software engineering are on software testing [26].”
The Oracle Problem in Software Testing: A Survey (2015, unknown): “Search-Based Testing [3], [5], [83], [126], [128] and Dynamic”
Search Based Software Engineering: Techniques, Taxonomy, Tutorial (2010, methodology): “SBSE seeks to reformulate Software Engineering problems as ‘search problems’ [45, 48].”
Search-based software engineering: Trends, techniques and applications (2012, unknown): “The trend of publications on SBSE and Software Engineering topic area. an earlier (but considerably longer) version of this article [Harman et al. 2009] that contains a detailed section on testing.”