Kniha Improving Reliability of Defect Prediction Models Jayalath Ekanayake

Improving Reliability of Defect Prediction Models

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Scholars' Press
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
1 729
Developing error free software is a prime objective of software developers. However, achieving this...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2022
Stránek
184
EAN
9786202300131
ISBN
6202300132
Enbook ID
39208644
Vydavatel
Hmotnost
292
Rozměry
150 x 220 x 11

Kompletní popis

Developing error free software is a prime objective of software developers. However, achieving this objective is not a trivial task. This becomes even more harder for the development organizations with minimum resources. The developers often use automatic defect prediction models, which are mostly developed using machine learning algorithms, to locate defects in software. The prediction quality of such models is important as wrong predictions may negatively impact on the development organizations as well as the end users. This book explores the possible issues in the existing prediction models and proposes methods to further enhance the prediction quality of such models.

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