Artificial Intelligent Systems and Machine Learning

Ahmed Abdelaziz , Nagy Ramadan Darwish , Sherif A. Mazen

Abstract

Revealing the failure of agile software projects is a great challenge faced by software companies. This paper focuses on the using of intelligent techniques such as fuzzy logic, multiple linear regressions, support vector machine, neural network to address this challenge. This paper also presents a review of some works related to this area of interest. In this paper, the researchers propose an approach for revealing the failure of agile software projects based on two intelligent techniques: fuzzy logic and Multiple Linear Regressions (MLR). MLR is used to determine crucial failure factors of agile software projects. Fuzzy logic is used for revealing failure of agile software projects.

Keywords

Agile Software Projects, Intelligent Techniques, Fuzzy Logic, Linear Regression

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Abeer H. El Bakly ¹, Nagy Ramadan Darwish ¹, Hesham A. Hefny ¹

Affiliations
1 Department of Information Systems and Technology, Faculty of Graduate Studies for Statistical Research, Cairo University, EG

Abstract

Authorship attribution is a hot research domain which includes many issues such as discovering whether a specific text possesses to a specific author or not, solving the problem of authorship attribution claim between authors of one disputed work, discrimination between two or more stylometric of authors, detecting the most probable author for an unknown text and studying the difference between Stylometric of authors according to gender or political view or religion or education or job or motivation... and so on. Many attempts have been started to solve these problems using statistical methods such as Naı¨ve Bayes and Bayesian. Recently, other efforts have been done in this domain by utilizing artificial intelligence techniques such as machine learning and natural language processing... and so on. This paper presents a literature review of the utilization of machine learning techniques in authorship attribution. Besides, it covers the main approaches to solve different recent issues in Arabic authorship attribution.

Keywords

Arabic Text, Artificial Intelligence, Authorship Attribution, Machine Learning, Stylometric

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