Machine Learning Algorithm Application in Software Quality Improvement using Metrics
Dharmapuri. Siri
Dharmapuri. Siri, Scholar, Department of Information Technology, Malla Reddy Engineering College for Women, Hyderabad (Telangana), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 1873-1876 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13590986S319/19©BEIESP | DOI: 10.35940/ijeat.F1359.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine learning purely concerned on the concept with building the program that improves the tasks performance through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. the field of software engineering turns out to be a fertile ground where many software development tasks could be formulated as learning problems, analyzing design and testing plays the major role and approached in terms of learning algorithms We discuss several metrics in each of five types of software quality metrics: product quality, in-process quality, testing quality, maintenance equality, and customer satisfaction quality.
Keywords: Machine Learning Algorithm Application Software Quality Design Development.
Scope of the Article: Machine Learning