Mayuran Sivakumaran and P. Taylor and L. February, El-Kassas, B.
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The improvements made in the last couple of decades in the requirements engineering RE processes and methods have witnessed a rapid rise in effectively using diverse machine learning ML techniques to resolve several multifaceted RE issues. One such challenging issue is the effective identification and classification of the software requirements on Stack Overflow SO for building quality systems. The appropriateness of ML-based techniques to tackle this issue has revealed quite substantial results, much effective than those produced by the usual available natural language processing NLP techniques. Nonetheless, a complete, systematic, and detailed comprehension of these ML based techniques is considerably scarce.
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AbstractWeb vulnerability scanners WVS are tools for discovering vulnerabilities in a web application. We intend to develop a hybrid algorithm for detecting web based applications vulnerabilities. The hybrid algorithm is based on the concept of carefully, combining desirable features of various components so that the new algorithm has the ability to discover more vulnerabilities. However the combination is not done blindly, it is based on various factors such as optimization and sophistication among others with an aim of increasing efficiency. The number and importance of web applications have increased rapidly over the years, many organizations have embraced these technologies to explore new business opportunities and some companies have been forced to adopt the electronic commerce by their customers or competitors.