Artificial Intelligence Methods for Software Engineering

图书简介

Software is an integral part of our lives today. Modern software systems are highly complex and often poses new challenges in different aspects of Software Engineering (SE). Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges. This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc). All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.

AI for Software Design: Interweaving AI and Behavioral Programming Towards Better Programming Environments; AI Techniques for Software Requirements Prioritization; Agent-Based Software Programming: Social Commitments for Engineering Interaction in Distributed Systems; Intelligent Agents are More Complex: Initial Empirical Findings; AI for Software Development: Sequence-to-Sequence Learning for Automated Software Artifact Generation; Machine Learning to Support Code Reviews in Continuous Integration; Software Fusion: Deep Design Learning with Deterministic Laplacian Verification; Using Artificial Intelligence for Auto-Generating Software for Cyber-Physical Applications; AI for Software Testing: On the Application of Machine Learning in Software Testing; Creating Test Oracles Using Machine Learning Techniques; Intelligent Risk Based Analysis Methodology; A Qualitative Reasoning Model for Software Testing, based on Combinatorial Geometry; AI for Software Debugging: AI-based Spreadsheet Debugging; Artificial Intelligence Methods for Software Debugging

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Artificial Intelligence Methods for Software Engineering 软件工程中的人工智能方法 计算机科学技术基础学科

Artificial Intelligence Methods for Software Engineering

软件工程中的人工智能方法
计算机科学技术基础学科