Abstract
Measuring the quality of software is an essential task as it leads to the minimization of cost in allocation of resources for testing or maintenance effort. With the emergence of Object Oriented (OO) technologies as a dominant software engineering practice today, it is required to investigate object-oriented metrics with respect to the software quality. This paper is an attempt for measuring the quality attributes of an OO system during the design phase using Predictive Object Point software sizing metrics set in. This paper relates high-level quality attributes such as reusability, flexibility, understandability, functionality, extendibility and effectiveness to Predictive Object Point Count and hence shows that Predictive Object Point Metrics set can be used to make quality decisions. The proposed model of assessment of quality through POP Count at the design phase has been studied on the several separate versions of three object oriented software which are developed for the same types of requirements and objectives. A quality metric tool has been developed to measure the various design metrics and hence the quality attributes of the projects under study. The trend observed through these quality attributes is compared with the corresponding POP Count values. The results have been analyzed and presented to show that the POP Count can be used to assess the quality of an object oriented system. Keywords: Automation, Object Orientation, Predictive Object Point, Quality Attributes, Quality Measurement, Quality Model, Software Metrics,
Highlights
Object Oriented (OO) technologies have become a dominant software engineering practice today
The quality attributes proposed in QMOOD are computed for several designs through an automation tool and compared with the trend observed through Predictive Object Points (POP) Count computed through APA Tool[4]
An Automatic Software Quality Measurement Tool has been made to access the quality of OO software by measuring its Predictive Object Point Metrics
Summary
Object Oriented (OO) technologies have become a dominant software engineering practice today. The demand for quality software grows day by day in todayās software development environment. With object-oriented analysis and design methodologies gaining popularity, the software developers and managers had to rethink about the parameters or elements used to estimate the size as well as to assess the software quality. The results vary from metric to metric due to the different parameters they measure, the way they measure and when they are applicable. Software quality is especially a favored area when it comes to prediction based on metrics. The introduction and subsequent use of metrics as a means to evaluate the software quality has had deep and useful impact on the overall system[2]
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