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Measurement is the process of determining the magnitude of quantity and the quality of the product. In the software engineering field, metrics are used for the quantitative and qualitative purpose. By analyzing metrics, a developer can correct those areas of software process which are cause of software defects or product failure. Software metrics are widely used in software industry to measure the complexity, size, modularity, testability, usability, reliability, or maintainability of a piece of source code. A wide variety of object oriented metrics have been proposed to assess the design,…mehr

Produktbeschreibung
Measurement is the process of determining the magnitude of quantity and the quality of the product. In the software engineering field, metrics are used for the quantitative and qualitative purpose. By analyzing metrics, a developer can correct those areas of software process which are cause of software defects or product failure. Software metrics are widely used in software industry to measure the complexity, size, modularity, testability, usability, reliability, or maintainability of a piece of source code. A wide variety of object oriented metrics have been proposed to assess the design, quality, testability and maintainability of an object oriented system. Different researcher focus on the various properties of the object oriented system like encapsulation, inheritance, complexity and polymorphism. Object oriented design is becoming more popular in software development environment and object oriented design metrics is an essential part of software environment. This study focuson a set of object oriented metrics that can be used to measure the quality of an object oriented design and also analyzed some of the CK metrics using tool Understand 2.6.
Autorenporträt
Ruchi Kamra is an Assistant Professor of Computer Science at Amity University, Haryana. She obtained M.Tech in Computer Science from GGSIPU, Delhi & B.Tech in Computer Science from Kurukshetra University, Kurukshetra.Her areas of interest are Software Engineering, Data Mining and Big Data Analysis.