Titlebook: Search-Based Software Engineering; 7th International Sy Márcio Barros,Yvan Labiche Conference proceedings 2015 Springer International Publi

Ingrained

Co-Evolutionary Algorithms: A Useful Computational Abstraction?this talk I summarize the progress made and the lessons learned with a goal of understanding how they are best used and identify a variety of interesting open issues that need to be explored in order to make further progress in this area.

懒洋洋

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0302-9743 neering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance..978-3-319-22182-3978-3-319-22183-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Co-Evolutionary Algorithms: A Useful Computational Abstraction?nce then there have been heightened expectations for using this nature-inspired technique to improve on the range and power of evolutionary algorithms for solving difficult computation problems. However, after more than two decades of exploring this promise, the results have been somewhat mixed..In

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Genetic Improvement of Software for Multiple Objectiveswritten by domain experts. Working with programmers it can grow and graft (GGGP) new functionality into legacy systems and parallel Bioinformatics GPGPU code. We review Genetic Improvement (GI) and SBSE research on evolving software.

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Search-Based Refactoring: Metrics Are Not Enought-oriented structure of an application. Recent work shows that in some cases applying popular SBSE tools to open-source software does not necessarily lead to an improved version of the software as assessed by some subjective criteria. Through a survey of professionals, we investigate the relationshi

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Weaving Parallel Threadsbiquity of multi-core hardware has made parallelism an important tool in writing performant programs. Unfortunately, parallel programming is still considered an advanced technique and most programs are written as sequential programs..We propose that we lift this burden from the programmer and allow

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An Improved Beam-Search for the Test Case Generation for Formal Verification Systemsheir requirements. Modern verification systems need to understand their target software, which can be done by using an axiomatization base. It captures the semantics of the programming language used for writing the target software. To ensure their correctness, it is necessary to validate both parts:

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