Evolutionary test environment for automatic structural testing

By J. Wegener, A. Baresel, H. Sthamer. Information and Software Technology, 2001

580 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/c0d1c93ab17592568f7242cf8937429c22398361

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Citations in the corpus

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets (2018, background): “, [22], [45], [49], [52]) in the last decade.”
Search-based software engineering: Trends, techniques and applications (2012, unknown): “There is also increasing evidence of industrial interest in SBSE, with uptake by many software-centric organisations including Daimler [Bühler and Wegener 2008; Harman et al. 2007; Wegener et al. 2001; Windisch et al. 2007], Ericsson [Zhang et al.”
The Current State and Future of Search Based Software Engineering (2007, methodology): “Search based optimization techniques have been applied to a number of software engineering activities, right across the life-cycle from requirements engineering [5], project planning and cost estimation [1, 3, 4, 16, 28, 52] through testing [6, 7, 11, 14, 15, 36, 39, 54, 61, 87], to automated mainte”
Search‐based software test data generation: a survey (2004, background): “[48, 38] map branch distance values branch dist logarithmically into the range [0, 1] (call this m branch dist).”
Search Based Software Engineering: Techniques, Taxonomy, Tutorial (2010, background): “[97], which we will refer to as the ‘Wegener GA’ hereinafter.”
Whole Test Suite Generation (2013, methodology): “The fitness function in the single branch strategy also needs to be adapted: We use the traditional approach level[48] plus normalized branch distance fitness function, which is commonly used in the literature (e.”
A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation (2010, background): “Systematic reviews are a means of synthesizing existing research regarding a specific research question [12].”
Search-Based Software Testing: Past, Present and Future (2011, background): “Work has been undertaken that has developed fitness functions for path coverage, branch coverage and data flow coverage amongst others [28].”
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search (2010, methodology): “Algorithms, Experimentation, Measurement, Performance, Theory”