首页|Superior University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Zero-Shot Learning for Accurate Project Duration Prediction i n Crowdsourcing Software Development)
Superior University Researcher Publishes New Studies and Findings in the Area of Machine Learning (Zero-Shot Learning for Accurate Project Duration Prediction i n Crowdsourcing Software Development)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news originating from Lahore, Pakistan, by NewsRx correspondents, research stated, "Crowdsourcing Software Development (CSD ) platforms, i.e., TopCoder, function as intermediaries connecting clients with developers." The news editors obtained a quote from the research from Superior University: "D espite employing systematic methodologies, these platforms frequently encounter high task abandonment rates, with approximately 19% of projects fa iling to meet satisfactory outcomes. Although existing research has focused on t ask scheduling, developer recommendations, and reward mechanisms, there has been insufficient attention to the support of platform moderators, or copilots, who are essential to project success. A critical responsibility of copilots is estim ating project duration; however, manual predictions often lead to inconsistencie s and delays. This paper introduces an innovative machine learning approach desi gned to automate the prediction of project duration on CSD platforms. Utilizing historical data from TopCoder, the proposed method extracts pertinent project at tributes and preprocesses textual data through Natural Language Processing (NLP) . Bidirectional Encoder Representations from Transformers (BERT) are employed to convert textual information into vectors, which are then analyzed using various machine learning algorithms."
Superior UniversityLahorePakistanA siaCyborgsEmerging TechnologiesMachine LearningSoftware
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