Software is an integral part of our lives today. Modern software systems are highly complex and often pose 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.
Contents:
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Preface
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AI for Software Design:
- Interweaving AI and Behavioral Programming Towards Better Programming Environments (Achiya Elyasaf, Moshe Weinstock and Gera Weiss)
- AI Techniques for Software Requirements Prioritization (Alexander Felfernig)
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Agent-Based Software Programming:
- Social Commitments for Engineering Interaction in Distributed Systems (Matteo Baldoni, Cristina Baroglio, Roberto Micalizio and Stefano Tedeschi)
- Intelligent Agents are More Complex: Initial Empirical Findings (Gal A Kaminka and Alon T Zanbar)
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AI for Software Development:
- Sequence-to-Sequence Learning for Automated Software Artifact Generation (Zhongxin Liu, Xin Xia and David Lo)
- Machine Learning to Support Code Reviews in Continuous Integration (Miroslaw Staron, Miroslaw Ochodek, Wilhelm Meding, Ola Soder and Emil Rosenberg)
- Software Fusion: Deep Design Learning with Deterministic Laplacian Verification (Iaakov Exman)
- Using Artificial Intelligence for Auto-Generating Software for Cyber-Physical Applications (Gregory Provan)
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AI for Software Testing:
- On the Application of Machine Learning in Software Testing (Nour Chetouane and Franz Wotawa)
- Creating Test Oracles Using Machine Learning Techniques (Rafig Almaghairbe and Marc Roper)
- Intelligent Risk Based Analysis Methodology (Eli Menasheof)
- A Qualitative Reasoning Model for Software Testing, based on Combinatorial Geometry (Spyros Xanthakis and Emeric Gioan)
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AI for Software Debugging:
- AI-based Spreadsheet Debugging (Konstantin Schekotihin, Birgit Hofer, Franz Wotawa and Dietmar Jannach)
- Artificial Intelligence Methods for Software Debugging (Wolfgang Mayer and Franz Wotawa)
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Index
Readership: Researchers, academics, professionals and graduate students in artificial intelligence/machine learning and software engineering.
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