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

Ekbal Rashid (Autor)

Buch | Hardcover

156 Seiten

2017
IGI Global (Verlag)
978-1-5225-3185-2 (ISBN)

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Presents 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.

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.

Ekbal Rashid, Aurora's Technological and Research Institute, India.

Erscheinungsdatum	05.11.2017
Reihe/Serie	Advances in Systems Analysis, Software Engineering, and High Performance Computing
Verlagsort	Hershey
Sprache	englisch
Maße	152 x 229 mm
Gewicht	475 g
Themenwelt	Informatik ► Software Entwicklung ► Qualität / Testen
ISBN-10	1-5225-3185-8 / 1522531858
ISBN-13	978-1-5225-3185-2 / 9781522531852
Zustand	Neuware