acceptance As a relatively new area of research, SBSE does not yet experience broad industry acceptance. Successful applications of SBSE in the industry can mostly be found within software testing, where the capability to automatically generate random test inputs for uncovering bugs at a big scale is attractive to companies. In 2017, Facebook acquired the software startup Majicke Limited that developed Sapienz, a search-based bug finding app. In other application scenarios, software engineers may be reluctant to adopt tools over which they have little control or that generate solutions that are unlike those that humans produce. In the context of SBSE use in fixing or improving programs, developers need to be confident that any automatically produced modification does not generate unexpected behavior outside the scope of a system's requirements and testing environment. Considering that fully automated programming has yet to be achieved, a desirable property of such modifications would be that they need to be easily understood by humans to support maintenance activities. Another concern is that SBSE might make the software engineer redundant. Supporters claim that the motivation for SBSE is to enhance the relationship between the engineer and the program. See also Program analysis (computer science) Dynamic program analysis Genetic improvement References External links Repository of publications on SBSE Metaheuristics and Software Engineering Software-artifact Infrastructure Repository International Conference on Software Engineering Genetic and Evolutionary Computation (GECCO) Google Scholar page on Search-based software engineering Computer-related introductions in 2001 Software testing Search algorithms Optimization algorithms and methods Genetic algorithms Software quality Program analysis