Knygos.lt nariams
Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
/images/books/10826172/9781522531852.jpg)
- Autorius: Ekbal Rashid
- Leidėjas: Engineering Science Reference
- ISBN-10: 1522531858
- ISBN-13: 9781522531852
- Formatas: 17.8 x 25.4 x 1 cm, kieti viršeliai
- Kalba: Anglų
Enhancing Software Fault Prediction With Machine Learning (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
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.
- Autorius: Ekbal Rashid
- Leidėjas: Engineering Science Reference
- ISBN-10: 1522531858
- ISBN-13: 9781522531852
- Formatas: 17.8 x 25.4 x 1 cm, kieti viršeliai
- Kalba: Anglų
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.
Atsiliepimai