التفاصيل البيبلوغرافية
| العنوان: |
Evaluating agile methodologies for software quality using statistical parameters. |
| المؤلفون: |
Saini, Neha, Chhabra, Indu, Guleria, Ajay |
| المصدر: |
AIP Conference Proceedings; 2023, Vol. 2938 Issue 1, p1-12, 12p |
| مصطلحات موضوعية: |
COMPUTER software quality control, AGILE software development, PERCEPTION (Philosophy), BUSINESS software, PRODUCT quality, COMPUTER software development |
| مستخلص: |
The software business must prioritise the development of high-quality software products because consumers' perceptions of software quality are crucial, and focusing on product quality makes it easier for users to become used to the product. As a result, maintaining a system's quality is essential for its success. The quality of a software product is influenced by a wide range of elements and variables, both directly and indirectly. As a result, the quality cannot be assessed using only one factor. With the passage of time, a number of agile software development methodologies have developed around the world, which helps to produce new and improved software methodologies. This paper makes an effort to evaluate and contrast SWARA, FCRI, and DDA, three agile focused development methodologies. Mean Squared Error and Standard Deviation, two statistical measures, were used in the evaluation. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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