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The field of SBSE is devoted to the application of search based algorithms to support different Software Engineering activities.
In this context, search-based software engineering (SBSE) deals with the application of search techniques to solve complex problems of software engineering.
However, the application of search operators changes the PLA organization, and consequently may violate the architectural styles rules, impacting negatively in the architecture understanding.
He stated that for new areas of software engineering that have yet to be attacked using search based approaches it remains acceptable to experiment with a variety of search algorithms in order to obtain baseline data and to validate the application of search.
It allows the application of search algorithms, such as the one described herein.
The retrieval of higher quality clinical prediction guides from EMBASE is facilitated by the application of search filters that have been optimized for sensitivity or specificity or both.
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Search-Based Softwanemergingering (SBSE) is an emerging discipline that focuses on the application of search-based optimization techniques to software engineering problems.
The interest in the application of search-based techniques in the SPL engineering is crescent.
Although there are very few studies which use search-based techniques for predicting maintainability and change proneness, we found that the results of the application of search-based techniques for effort estimation and defect prediction are encouraging.
As highlighted by Harman [15], there are only two key ingredients for the application of search-based optimization to software engineering problems: The choice of the problem representation amenable to symbolic manipulation The definition of the fitness function to characterize what is considered to be a good solution.
That may make the search ability of GA more efficient and it has good speed in the application of searching and optimization [24, 25].
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