A systematic review of search-based testing for non-functional system properties

By W. Afzal, Richard Torkar, Robert Feldt. Information and Software Technology, 2009

439 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/5ad4eb1ec61d02c432116a53fd213070f455dfa5

Citations in the corpus

• A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation (2010, neutral): “Mantere and Alander [32] discuss the use of MHS algorithms for software testing in general and McMinn [33] provides a survey of some of the MHS algorithms that have been used for test data generation.”
• VUzzer: Application-aware Evolutionary Fuzzing (2017, neutral): “The use of evolutionary algorithms for input generation purposes is a well-explored research area in software engineering [7], [34].”
• Using mapping studies as the basis for further research - A participant-observer case study (2011, neutral): “The original mapping study was published as a conference paper [42] which was then followed by a systematic review published in a journal [41].”
• Search Based Software Engineering: Techniques, Taxonomy, Tutorial (2010, neutral): “There is plenty of evidence [3, 48, 78] to indicate that SBSE problems are as wide and varied as those found in the general optimisation literature.”
• The Oracle Problem in Software Testing: A Survey (2015, neutral): “Automated test input generation been the subject of many significant advances in both SearchBased Testing [3], [5], [83], [127], [129] and”
• Search-based software engineering: Trends, techniques and applications (2012, neutral): “There has been much work on stress testing [Alander et al. 1997b; Briand et al. 2005, 2006; Garousi 2006, 2008; Garousi et al. 2008; Mantere 2003] and temporal testing [Alander et al. 1997a, 1998, 1997b, 1996; Dillon 2005; Groß 2000, 2001; Groß et al. 2000; Groß and Mayer 2002, 2003; Pohlheim and We”
• Software development in startup companies: A systematic mapping study (2014, neutral): “…there exist reviews that studied software engineering topics pertinent to specific contexts or environments (as opposed to reviews that investigated individual software engineering technologies, e.g. feature location [40] or search-based software testing [41]) that we consider as related work.”