Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities

Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities

Ekbal Rashid (Aurora's Technological and Research Institute, India)
Projected Release Date: October, 2017|Copyright: © 2018 |Pages: 156
ISBN13: 9781522531852|ISBN10: 1522531858|EISBN13: 9781522531869|DOI: 10.4018/978-1-5225-3185-2

Description

Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction.

Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Case-Based Reasoning
  • Expert systems
  • Quality Gap
  • Rate of Improvement
  • Software Development
  • Time Gap

Table of Contents and List of Contributors

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