کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6885581 696614 2015 36 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automated software design using ant colony optimization with semantic network support
ترجمه فارسی عنوان
طراحی نرم افزار خودکار با استفاده از بهینه سازی کلون مورچه با پشتیبانی از شبکه معنایی
کلمات کلیدی
مهندسی نرم افزار مبتنی بر جستجو طراحی نرم افزار اتوماتیک، بهینه سازی کلینیک مورچه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Software design is an important task that needs to be well performed. In this paper, a method for automated software design using search-based software engineering approach is proposed. This approach can solve software engineering problems using search algorithms. Ant colony optimization is used as the meta-heuristic search algorithm in both single-objective and multi-objective modes. Input data are the analysis phase artifacts and the output is in the form of early life cycle class diagram. To provide human designer's background knowledge, a semantic network is used that is built upon the textual documents of analysis phase plus other resources like WordNet. This semantic network is used to name the output classes, and also to determine structural relations between classes. The proposed method is evaluated by some case studies and results are reported. The evaluation results show that using background knowledge beside optimization algorithm helps to achieve better results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 109, November 2015, Pages 1-17
نویسندگان
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