API Recommendation Based on WII-WMD
نویسندگان
چکیده
Improving software development efficiency based on existing APIs is one of the hot researches in engineering. Understanding and learning so many large libraries not easy developers prefer to provide only requirements descriptions get right API. In order solve this problem, paper proposes an API recommendation method WII-WMD, improved similarity calculation algorithm. This firstly structures text, then fully mines semantic information text. Finally, it calculates between user's query problem described document. The experiment results show that WII-WMD can improve system.
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ژورنال
عنوان ژورنال: International Journal of Cognitive Informatics and Natural Intelligence
سال: 2022
ISSN: ['1557-3958', '1557-3966']
DOI: https://doi.org/10.4018/ijcini.20211001.oa16